Data Scientist Jobs in Midland, MI

Start with a job, stay for a career. For over 100 years, Edward Rose & Sons has been committed to career development for our team members. We offer you the opportunity to grow in an environment where you will feel valued, have room for advancement, and be rewarded for your good work. We are currently looking for a People Data Analyst (HR) for our team in Bloomfield Hills, MI. The People Data Analyst partners with CHRO to analyze work process design and flow, improve processes and leverage the return on people focused technological capabilities. They play a key role in providing business systems analysis “best practices” regarding usage implementation and integration of all HR and HRIS systems. The People Data Analyst will work effectively with peers to set technology priorities and conduct long-term planning. This position also serves as a technical point-of-contact and assists subject matter experts with ensuring data integrity, testing of system changes, report writing and analyzing data flows for process improvement opportunities. The People Data Analyst also supports HRMS upgrades, patches, testing and other technical projects as assigned. What are the responsibilities of the People Data Analyst (HR)? Analyze work process design and flow, improve processes and leverage the return on technological capabilities, play a key role in providing business systems analysis “best practices” regarding usage implementation and integration of all HR and HRIS systems, and will work effectively with peers to set technology priorities and conduct long-term planning. Generate key HR dashboards across the country. Collaborate with internal customers to maintain and develop processes that enhance operational capabilities. Assists in development of standard reports for ongoing customer needs. Helps maintain data integrity in systems by running queries and analyzing data. Coordinate to identify root causes of and solutions to data integrity and system performance issues. Performs system maintenance, including assisting in the review, testing and implementation of HRMS system upgrades or patches. Collaborates with functional and technical staff to coordinate application of upgrade or fix. Maintains HRMS system tables. Provides production support, including researching and resolving HRMS problems, unexpected results, or process flaws; performing scheduled activities; recommending solutions or alternate methods to meet requirements. Recommends process improvements, innovative solutions, policy changes and/or major variations from established policy, which must be approved by appropriate leadership prior to implementation. Performs other related duties as assigned. What are the role requirements? Bachelor's degree in computer science or related field or equivalent work experience. Master's degree in human resource management, MIS, computer science or related degree preferred. At least 4 years related experience required. Experience with creating dashboards and visualizations with Power BI required. Experience with systems integration/implementation. Proficiency working with HRIS, databases and reporting applications (UKG preferred). Solid working knowledge of MS Office applications including Word, Outlook, Excel, and PowerPoint, with at least an intermediate working level of Excel. Understands and uses qualitative/quantitative measurement and data collection design principles. Uses effective approaches for choosing a course of action or develops appropriate solutions to issues that arise. Strong analytical and problem-solving skills. Ability to work independently and with a team. We are an Equal Opportunity Employer, and we affirmatively seek diversity in our workforce. We recruit qualified candidates and advance our employees without regard to race, color, religion, gender, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status or characteristic protected by federal, state or local laws.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership. We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential. Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events. Our Benefits Include: * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending * Account (includes spouse + children) * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Our Perks Include: * Casual Dress Attire * Hybrid work flexibility * Catered Lunches, Snacks and Beverages * Commuter Savings Program * Company Outings * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future. At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude. About the Data Scientist Role As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world's most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. Why Join Sight Machine's Services Team Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, working to solve today's problems (while knowing tomorrow will bring a few more), and getting a little better every day. What You'll Do * Consult with customers to clarify business problems and understand requirements and shape solution design. * Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results. * Generalize specific customer solutions to develop future product additions in the Sight Machine platform. * Collaborate with engineering and product teams to add new features and contribute to the development of our data platform * Train customers on how to get the most out of their analytics * Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data. * Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures This position requires up to 20% domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on the client.

**************** Driven to revolutionize innovation, System Strategy, Inc. (SSI) helps clients conceptualize and design for the deep interdependencies inherent in today's cyber-physical systems. We balance the art and science of systems engineering to creatively and digitally transform design and development. We provide leading expertise in digital design, model based systems engineering (MBSE), analytics, and management consulting. System Strategy, Inc. (SSI) is a privately held professional services firm headquartered in Metro Detroit. Our engagements include small to large Fortune 500 businesses as well as the government. POSITION OVERVIEW The Lead Data Scientist provides thought leadership in the application and use of data science techniques in the analysis and management of mission and business objectives associated with complex systems development. Candidates must provide strong leadership skills and the ability to collaborate and build trusting relationships with clients through delivery excellence. Contribute to team activities across life cycle systems management processes from stakeholder needs through validation. Analyzes mission and business metrics, systems, processes, and organizational architectures to improve development activities and outcomes. Research and implement best practices for integration into enterprise processes. Support executive decision making through visualization techniques and storyboards. Model complex systems and lead the evolution of digital ecosystems and overall digital transformation. Performs literature reviews and captures Subject Matter Expert (SME) knowledge in models using relevant modeling language(s) and tools. Facilitate shared human understanding and organizational learning through proficient communication, professional development, and delivery excellence. INITIAL ENGAGEMENT RESPONSIBILITIES Apply data science methods to improve executive decision-making and enterprise capability Help propagate data-centric and model-based methods as a Data Science catalyst Integrate captured knowledge, programmatic plans, and associated data into a common operating picture Generate enterprise and product insights through viewpoint and dynamic visualization development Collaborate closely with SSI and client team members in sharing best practices and intellectual property Articulate complex concepts and methods clearly to peers and leaders Generate reports, capability briefings, plans, and other required products QUALIFICATIONS Basic Qualifications/Requirements 15+ years of engineering and technical leadership Bachelor's degree in a STEM discipline or data science-related field Master's degree in a STEM discipline or data science-related field US citizenship and ability to obtain and maintain a security clearance Excellent analytical and synthetical problem-solving skills Proficient written and oral communicator with proven ability to influence key outcomes Exceptional computer skills and experience with modeling Desired Qualifications Experience with enterprise or product system modeling Object Management Group (OMG) Certified Systems Modeling Professional (OCSMP) INCOSE Systems Engineering Professional Certification (ASEP, CSEP or ESEP) Previous use of data science tools and technologies such as Jupyter, Apache Spark, Graph Analytics, MATLAB, D3, Tableau, PowerBI et al. HOW TO APPLY Please send resumes and cover letters to: Troy Peterson, Vice President System Strategy, Inc. Selected applicants will be subject to a security investigation

With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more. Overview Employer: Starcom Worldwide, Inc. Job Title: Data Scientist Job Requisition: 6630.5130.7 Job Location: 205 Hamilton Row, 3rd Floor, Birmingham, MI 48009. Required to work from Company Office (Birmingham, MI) certain days per week. Telecommuting allowed for balance of week. Job Type: Full Time Responsibilities Duties: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Deliver analytic solutions across a wide variety of client applications and build inferential and predictive models, including machine learning algorithms. Involved in processing, integrating and manipulating big data with distributed systems and customer data pipelines; to synthesize results and translate findings into compelling stories that resonate with clients. Translate marketing and business questions into data queries. Use distributed computing systems to access and manipulate big data sources. Conduct exploratory analysis to identify relevant insights and useful transformations. Apply quantitative techniques to uncover latent patterns in the data. Interpretate data, analytical results and visuals to generate conclusions and recommendations. Ensure that analytic tasks and results meet established objectives and timelines. Share knowledge and research to advance the collective knowledge and skills of our Data Science practice. Keep a detailed record of the data sources, methodologies, model development processes and create necessary documentation for models and analysis performed. Build predictive models based on the historic sales data of customers and fine-tune the models to improve the performance. Qualifications Requirements: Employer will accept a Master's degree in Analytics, Engineering or a related field and one year of experience in the job offered or one year of experience in any occupation in which the required experience was gained. Position also requires one year of experience in each of the following: 1. Utilize R, Python and Pyspark to construct predictive models employing diverse statistical and machine learning methods as well as for techniques like time series forecasting to predict upcoming sales figures. 2. Engage in media mix utilizing R to aid the business in comprehending the impact of their media investment on sales. 3. Produce numerous analytical reports using Tableau to create data visualization and convey intricate information in a comprehensible manner. 4. Employ various clustering techniques such as K-means and KNN to tailor marketing campaigns to enhance sales growth. 5. Conduct customer segmentation within big data platforms with Databricks and Qubole. 6. Apply color-coding based on the standard deviation values of each segment utilizing MS Excel macros (VBA) to enhance the comprehension of the segmentation. Required to work from Company Office (Birmingham, MI) certain days per week. Telecommuting allowed for balance of week. Additional information Starcom is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include: * Paid Family Care for parents and caregivers for 12 weeks or more * Monetary assistance and support for Adoption, Surrogacy and Fertility * Monetary assistance and support for pet adoption * Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance * Tuition Assistance * Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more * Matching Gifts programs * Flexible working arrangements * 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility) * Business Resource Groups that support multiple affinities and alliances The benefits offerings listed are available to U.S. based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. All your information will be kept confidential according to EEO guidelines.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave with immediate eligibility as well as a phased return to work. Flexible vacation policy in addition to 18 paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

As our Principal Data Scientist your main mission is to use the scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling to uncover and explain the business insights buried in data. This will be accomplished by using data mining techniques, including pattern detection, graph analysis or statistical analysis - extracting knowledge from a dataset involving data management, data preprocessing, model and post-processing of found structure. As our principal data scientist, you are well versed in a wide array of analytical tools including artificial intelligence, machine learning, data mining, Bayesian regression, econometrics, and is aware of new and emerging methodologies. With your expertise, you will communicate, educate, and elevate the skills of the organization. Join our dynamic, progressive team of IT professionals in an environment where you can learn, grow, and be an integral part of creating innovative technology solutions to help our business flourish. As a part of Kellanova, you are joining a leading company in global snacking, international cereal and noodles, plant-based foods and North American frozen breakfast, with iconic, world-class brands. Our focus on ED&I enables us to build a culture where all employees are inspired to share their passion, talents, ideas, and can bring their authentic selves to work. Become part of a team that works to better serve the needs of our diverse consumers by delivering winning ideas and innovations for brands like Cheez-Its, Pringles and Eggo. A Taste of What You'll Be Doing Direct Business Partnering - In this role, you will be working with multiple levels of the business and leadership to better enable analytics and data across the supply chain organization in multiple regions. By leveraging your experience, leadership skills, positive attitude as well as your understanding for cross-functional relationships you will help deliver practical analytical and data solutions within in a global environment. Lead the design, development, and deployment of data-driven predictive models to solve business problems using the most appropriate techniques in data mining, artificial intelligence/machine learning, and statistical modeling. Data Analysis Leadership - Diving into large, noisy, and complex real-world data to produce an innovative analysis of historical patterns in customer behaviors and product performance. Working closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners. Piloting emerging “big data” technologies to help Kellanova understand how to exploit new methodologies, technologies, and tools. Driving toward deep visibility of the business, end-to-end through analytics and fact-based data disciplines. Advocating for and train the organization during deployment of analytic solutions. Establishing relationships with various data stakeholders and working with leadership to develop strategies for advanced analytics at Kellanova. In this role, you will be advising Executives on how data and predictive models (processes, practices, and technologies) playing a critical role in improving business management and optimization. Decision Support - Understanding and identifying what data is available and relevant, including internal and external data sources, leveraging new data collection processes. Working with supply chain subject matter experts to select the relevant sources of information. Evaluating the data sources on multiple criteria including cost. Working with, and advising, appropriate IT members to translate analytic prototypes into production. This role has one or more direct reports. Your Recipe for Success Masters Degree or Ph.D. in Computer Science, Mathematics, Statistics, Actuarial Science, Engineering, Operations Research or related field and/or specialized training/certification and/or equivalent work experience. We are looking for a leader with significant experience leading direct reports and leading a project team. Extensive related technical/business experience including experience in designing and developing data management processes and systems. Experience and advanced skills in data analysis, modeling, data mining, and artificial intelligence/machine learning. Strong experience with analytical software and technology (such as Python, R, SAS, Databricks, Sagemaker, Tableau etc.) Ability to communicate and influence the Supply Chain Executives, translating complex and technical ideas into easily digested messages. Do you have relevant Supply Chain, Manufacturing or CPG experience? Great, we'd love to put it to good use in IT. What's Next After you apply, your application will be reviewed by a real recruiter - not a bot. This means it could take us a little while to get back with you so watch your inbox for updates. In the meantime, visit our How We Hire page to get insights into our hiring process and how to best prepare for a Kellanova interview. If we can help you with a reasonable accommodation throughout the application or hiring process, please email *****************************. About Kellanova Kellanova is a leading company in global snacking, international cereal and noodles, plant-based foods, and North America frozen breakfast, and a portfolio of iconic, world-class brands, including Pringles, Cheez-It, Pop-Tarts, Kellogg's Rice Krispies Treats, MorningStar Farms, Incogmeato, Gardenburger, Nutri-Grain, RXBAR, and Eggo. We also steward a suite of beloved international cereal brands, including Kellogg's, Frosties, Zucaritas, Special K, Krave, Miel Pops, Coco Pops, and Crunchy Nut, among others. At Kellanova, we are committed to Equity, Diversity, and Inclusion (ED&I), uplifting each other and embracing our differences to achieve our common goals. Our focus on ED&I enables us to build a culture where all employees are inspired to share their passion, talents, ideas, and can bring their authentic selves to work. Learn more here. We're proud to offer industry competitive Total Health benefits (Physical, Financial, Emotional, and Social) that vary depending on region and type of role. Be sure to ask your recruiter for more information! The Finer Print Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website here. Ready to Taste the Future of Food? -Kellanova Recruitment

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in machine learning (ideally MLOps) and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. What you'll do... Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations Work with large, complex data sets using tools such as SQL, BigQuery, and Python Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization. Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers Develop trust with stakeholders and peers by delivering results on time Ensure overall quality of the data & solutions throughout the development process Provide training and maintenance of implemented tools to business partners Collect feedback from business users and continuously improve analytic products You'll have... Bachelor's degree in Engineering, Statistics, Data Science, Computer Science or a related quantitative discipline 3 years of experience or other significant, independent project experience using Python, Google Cloud Services, and similar tools 3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data 3+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges 1+ years of experience deploying Machine Learning Operations for internal or external use Experience with GCP or other cloud systems Comfortable working in an environment where problems are not always well-defined Well-organized, a self-starter, independent and ready to work with minimal supervision A respectful and committed teammate, willing to excel and work with talented people Inquisitive, proactive, and interested in learning new tools and techniques Proven quantitative modeling and statistical analysis skills Even better, you may have... Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field Knowledge of cost modeling, product design (hardware), mechanical engineering or similar 5+ years of work experience with Python, SQL, and BigQuery 5+ years of work experience in data mining, statistical analysis, modeling, optimization, drift detection or similar machine learning operations Strong oral, written and interpersonal communication skills Ability to effectively advocate technical solutions to peer, management and business audiences You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. This position is a salary grade 8. For more information on salary and benefits, click here: New Hire Benefits Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid #LI-MG1

DTE Energy is seeking a Senior level Data Scientist to join one the Analytics team. This person can be based out of Michigan, or they can work remotely anywhere in the U.S only. This individual will be involved in analytical modeling and working on predictive models for the system cable groups. ________________________________________ Key Responsibilities: Predictive Analytics & Modeling: Develop and deploy machine learning models to forecast peak energy demand, outage risks, and renewable energy generation. Grid Modernization & Reliability: Analyze large-scale energy grid data to identify trends, optimize infrastructure investments, and improve outage response times. Energy Storage & Renewable Integration: Support DTEs 450 MW energy storage expansion by building data models that optimize battery deployment and performance. Customer Energy Efficiency Programs: Utilize customer energy usage data to develop personalized energy savings recommendations and assess program impact. Big Data & Cloud Computing: Work with Azure, AWS, or Google Cloud to manage and analyze massive datasets related to energy consumption and distribution. Collaboration & Strategy Alignment: Work closely with engineering, operations, and business leaders to translate complex data insights into actionable strategies. Compensation: $66/hr to $68/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Education: Bachelors degree in computer science, Mathematical, or STEM related - Experience: 5-7 years minimum in a Data scientist position or a combo of Data Scientist + Data Engineer - Tools/Technologies: Python - Soft Skills: Must be able to have very strong communication skills as this person will be collaborating with other teams frequently - Masters or PHD in Computer Science or STEM related field - SQL, Java, MATLAB, Databricks, Microsoft Azure, Github. - Utilities or automotive background null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. The Role The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). What You'll Do Staff Data Scientist will be responsible for: Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems Create breakthrough solutions, performing exploratory and targeted data analyses Undertake preprocessing of structured and unstructured data Monitor and sustain model effectiveness Present complex information using data visualization techniques Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing Identify long-term technical innovations while continuously improving execution efficiency Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff Mentoring junior data scientists on the team Your Skills & Abilities (Required Qualifications) Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable 10+ years of experience as a Data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) Prior experience with CRM, paid, earned, and owned media Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality Additional Job Description This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; • Company and matching contributions to 401K savings plan to help you save for retirement; • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing; • Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Company:** Corning Corning is vital to progress - in the industries we help shape and in the world we share. We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives. Our sustained investment in research, development, and invention means we're always ready to solve the toughest challenges alongside our customers. Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: - Trusted products that accelerate drug discovery, development, and delivery to save lives - Damage-resistant cover glass to enhance the devices that keep us connected - Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light - Precision glass for advanced displays to deliver richer experiences - Auto glass and ceramics to drive cleaner, safer, and smarter transportation **Purpose of the Position:** The primary role of the Statistician will be to collect, analyze, and interpret data to drive effective decision-making processes and optimize operational performance. The ideal candidate will have a strong understanding of statistical theories and data analysis methodologies, with a knack for interpreting complex data sets and providing clear and concise reports to various stakeholders. **Key Responsibilities:** + Collect and analyze statistical data related to the manufacturing process. + Develop and implement data collection systems and other strategies that optimize efficiency and data quality. + Identify, analyze, and interpret trends or patterns in complex data sets. + Use statistical techniques to predict, understand, and improve production performance. + Collaborate with different teams to establish operational metrics. + Design, develop, and deliver timely and actionable statistical reports. + Provide statistical advice and support to the management team in decision-making processes. + Ensure compliance with relevant statistical standards and regulations. + Develop statistical models to optimize resource allocation and production processes. + Participate in problem-solving and continuous improvement initiatives. + Develop and support well designed experiments (DOE) that will provide meaningful statistically valid results. **Education & Experience:** + Bachelor's or Master's degree in Statistics, Mathematics, Economics, or a related field. + Proven experience as a Statistician, preferably in a manufacturing environment. + 5+ yrs experience in manufacturing or related using statistical tools and methods. **Required Skills:** + Strong knowledge of statistical software such as SPSS, SAS, or similar. + Excellent analytical, mathematical, and problem-solving skills. + Proficient in data analysis and report writing. + Strong communication skills with the ability to present complex data in a simple, understandable manner. + Ability to work independently and as part of a team. + Familiarity with ISO, Six Sigma, Lean Manufacturing principles, or other statistical quality process is a plus. + High level of precision and attention to detail to ensure the accuracy of data and analysis. **Desired Skills:** + Strong data analysis and statistical skills to analyze performance data, identify trends, and make data-driven decisions. **This position does not support immigration sponsorship.** The range for this position is $88,598.00 - $121,822.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO. **Corning Puts YOU First!** We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. + Our monetary peer-to-peer recognition program is tied to ourand celebrates you and your colleagues' contributions. + Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs. + Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career. + Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities. + Professional development programs help you grow and achieve your career goals. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at. **Nearest Major Market:** Saginaw

About Us: Zoomprop is revolutionizing the real estate investment landscape as the industry's premier data analytics platform, offering institutional-grade insights comparable to Bloomberg Terminal's role in financial markets. We provide sophisticated investment intelligence and analytics tailored specifically for real estate professionals, from institutional investors to brokerages and investment strategists. Our leadership team brings exceptional expertise and a proven track record of success. Our CEO has demonstrated remarkable business acumen, having successfully raised over $300 million across multiple ventures, with their most recent achievement being a $4 billion merger IPO. Supporting this vision, our President brings valuable early-stage startup experience, having played pivotal roles in two successful acquisitions and an IPO. As a venture-backed startup, we combine this wealth of expertise with cutting-edge technology to transform how investment decisions are made in the real estate sector. Our platform goes beyond basic market analysis, offering sophisticated tools and insights that enable our clients to identify and capitalize on prime investment opportunities with unprecedented precision.Key Responsibilities Develop and improve machine learning models for real estate market analysis and forecasting Design and implement data acquisition and processing pipelines Create and maintain our AI assistant capabilities Ensure data accuracy and quality across our extensive property database Optimize backend architecture for scalability and performance Collaborate with product team to implement new features and capabilities Design and maintain API endpoints for data access and integration Implement robust testing and validation frameworks for ML models Required Qualifications Advanced degree in Computer Science, Data Science, or related field 5+ years experience in machine learning and data science Strong programming skills in Python and experience with ML frameworks Experience with large-scale data processing and ETL pipelines Proficiency in database design and optimization Experience with API design and implementation Strong background in statistics and experimental design Preferred Qualifications Experience with real estate data or market analysis Knowledge of time series forecasting and geospatial analysis Experience with cloud infrastructure (AWS/GCP/Azure) Background in natural language processing for AI assistants Contributions to open-source projects or research publications $80,000 - $175,000 a year We're seeking a senior-level Data Scientist who can bridge the gap between advanced machine learning and practical implementation. You'll be responsible for enhancing our AI capabilities while ensuring robust backend architecture to support our growing platform. We're a tight-knit team offering more than just a role - we're offering an opportunity to make a real impact. As we continue to revolutionize real estate investment analytics, we provide a comprehensive benefits package that reflects our commitment to our team's success and well-being. From competitive compensation with equity participation to full health coverage and flexible work arrangements, we ensure our team members are well-supported. Our remote-friendly culture emphasizes professional growth and innovation, giving you the freedom to shape both your career and the future of real estate technology. If you're ready to join a fast-paced environment where your contributions will have immediate and lasting impact, we'd love to connect with you.

Sr. Insider Risk Data Engineer Software Solutions Specialist - Insider Threat Data Analytics Engineer - DAS Enterprise Risk Management Recruiting for this role ends on May 20, 2025 Work You'll Do: As a Data Analytics Engineer supporting the Insider Risk Team, you will play a critical role in maintaining and optimizing computer systems to analyze insider risk alerts and events. Your responsibilities will include integrating data from various internal and external sources into the Insider Threat Management workflow, cleaning data as necessary, and developing analytical models. You will be part of a dedicated team focused on ensuring the security and integrity of critical information, enterprise systems, and environments through predictive analysis and insider risk detection. Your efforts will help counter threats before they materialize. The Insider Risk Team collaborates with various Business Units (BUs) and stakeholders across the organization to manage insider risk detection, mitigation, investigation, and response efforts. By leveraging technical and non-technical datasets, the team aims for early detection of insider risks and works closely with affected business units to manage these activities effectively and efficiently. As an Insider Risk Data Engineer, you will contribute to developing strong rulesets, correlation with regressive statistics, and advanced analytical models for preventive threat detection. Responsibilities: + Maintain the health of complex enterprise systems and troubleshoot high-volume data feeds. + Integrate data from various internal and external enterprise systems into the Insider Threat Management workflow, ensuring data cleanliness. + Collaborate with Insider Risk Management Intelligence Analysts to develop and tune datasets and analytical models, enhancing detection capabilities and workflows. + Create associated design and configuration documentation. + Work with the Insider Risk Management Team to identify and implement continuous program improvement opportunities. + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Qualifications: Required: + 5+ years of experience in Information Technology supporting Data Engineering/Data Analytics or 3 years with an advanced degree. + 3+ years of experience creating scripts from scratch with SQL (highly preferred), Bash, Python, or Splunk. + 1+ years of recent experience supporting information security and incident analysis working with analytics platforms and configuring rules. + 1+ year of hands-on experience with Azure DevOps (ADO) for continuous integration, continuous delivery and automated deployment processes + Bachelor's Degree in Computer Applications, MIS, Business Administration, or a related field, and/or additional relevant professional experience. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: + Familiarity with contemporary SIEM/UBA platforms and their application to cyber threat analysis. + Knowledge of networking protocols, encryption, firewalls, host and network intrusion detection systems, data loss prevention systems, Windows, and Linux. + Skilled in troubleshooting complicated IT systems. + Experience in a client-facing role and managing client experience. + Advanced written and verbal communication skills. + Experience in managing and executing all phases of the Software Development Lifecycle, including planning, analysis, design, implementation, testing, deployment, and maintenance + Strong analytical, problem-solving, multi-tasking, and interpersonal skills. + Knowledge of Insider Risk programs. Information for applicants with a need for accommodation: ************************************************************************************************************ The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $80000 to $148000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**The Role** General Motors is seeking applications for highly motivated and qualified individuals for the position of Scientist. This is a unique opportunity to join a multi-disciplinary team of experienced individuals who will drive the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum. The team is responsible both for analytics strategy and project-based solutions, focusing on the company's most critical business areas. As a Scientist, you will be responsible for working on a team seeking to solve GM's most pressing challenges across the enterprise using AI/ML and other analytical techniques. You will be responsible for the entire data science lifecycle process across multiple product workstreams, from initial investigation, to proof-of-concept development, to productionization and deployment, to final enhancement, hardening and maintenance. **What You'll Do** + Develop predictive and prescriptive models using machine-learning algorithms, optimization and AI solutions. + Analyze large amounts of diverse information to discover trends and patterns that drive business decisions. + Develop UI applications to deliver insights to business clients. + Undertake preprocessing of structured and unstructured data. + Monitor and sustain model effectiveness. + Present complex information using data visualization techniques. + Create repeatable and scalable code bases and processes for improving development / execution efficiency. **Your Skills & Abilities (Required Qualifications)** + Candidates must be collaborative team players who will work closely with professionals across the enterprise including other scientists, software developers, analysts and product leads. + Bachelor's Degree in computer science, engineering, statistics, mathematics, physics or a related degree (MS or Ph.D. preferred). + 3+ years' experience (2 years with MS) as a data scientist, research scientist, AI analyst, ML engineer, or related role. + Python proficiency required. + Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLMs, generative AI, and/or other machine learning and AI methodologies. + Experience with SQL, Databricks and/or other cloud-based data science platforms preferred. + Strong interpersonal and communication skills and demonstrated working experiences with cross-function product teams. + Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. + Solid problem-solving skills and the ability to translate business questions into data-driven solutions. + Familiarity with data storage solutions, databases, and data processing frameworks. + Excellent communication skills to present findings and collaborate across teams. + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Databricks experience. + Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field. This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.