Data Science Internship Jobs in Hazel Park, MI

About the job Southwestern Advantage is seeking college students from all majors for a paid summer work/internship position. This is an outside sales internship where students will learn how to run their own business and be effective in creating relationships with consumers. Students will have the opportunity to travel to another state. You will receive 100 to 300 hours of professional sales, leadership, and marketing coaching. The average student will make $12,000 dollars in the summer but top first-year performers make up to $25,000. The ideal candidate for this position will take over the following responsibilities and have these qualifications. Responsibilities • Students will be engaged in consultative sales • Communicating with anywhere between 3,500 to 5,000 families with all economic backgrounds • Create relationships and build rapport with customers • Direct sales of educational products • Students will execute all ordering, inventory, sales, accounting, scheduling, and delivery of product Qualifications • Must be a college student or college grad • Positive attitude • Goal Oriented • Personal motivation • Strong work ethic • Teachable and coachable • Willingness to learn and develop business skills • Independent decision maker Check us out below! Website: ********************************** Instagram: ****************************************************** Facebook: *********************************************** Reviews: **************************************** For more info text or call Andy Garcia (SW Corporate Recruiter): ************ ****************************************

Role Overview: As an Analytics and Data Intern, you will dive into the world of data, working alongside our talented team to uncover insights and drive business strategies. This is a fantastic opportunity to gain hands-on experience with cutting-edge technologies and make a real impact. Educational Background: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Technical Skills: Proficiency in SQL for database management and querying. Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB. Familiarity with vector databases like Pinecone, Weaviate, or Milvus. Experience with Microsoft Azure services, including Azure SQL Database, Azure Data Factory, and Azure Machine Learning. Familiarity with programming languages such as Python or R. Analytical Skills: Strong analytical and problem-solving abilities. Ability to identify patterns and trends in data sets. Data Management: Experience in data collection, cleaning, and organization. Understanding of data preprocessing, feature engineering, and data pipeline development. Communication Skills: Excellent communication and interpersonal skills. Ability to create and present clear and informative reports and visualizations. Additional Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., Apache Spark, Hadoop).

We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because we find and examine possibilities through the clarity of a scientific lens. To solve the toughest client challenges, we need curious, creative and dedicated people to join our team. We search out individuals who align with our core values and who adhere to the highest standards of integrity and ethics in everything they do. Our company is filled with the brightest minds and the biggest hearts at every level. We recognize that personal success takes on many different forms of the course of our lives - both professional and personally - so we provide a myriad of benefits and programs focused on Wellbeing, Growth, Community and Recognition. One size does not fit all, so we encourage every Urban Scientist to discover their own formula for success. If this sounds like the kind of company you would like to work with, Apply Now! INTERNSHIP PROGRAM Our comprehensive program allows you to gain real-world experience by working closely with - and learning from - our leaders, and to build meaningful relationships that last long beyond our summer program. Our program is all about delivering situations and support that guide our interns to future success while tapping the power of their unique skills, perspectives and experiences to continue to move our organization - and our industry - forward. Dive into Urban Science's vibrant intern community by actively participating in networking events and social activities with over 25 interns. Our interns become a part of diverse teams including those that develop software and IT solutions, analyze data, support client deliverables and corporate teams. Throughout the program, you'll expand your knowledge through insightful lunch-and-learns with business leaders and unique learning opportunities that cover broader business topics and valuable career development skills. Additionally, you'll gain practical skills through scrum training sessions, professionalism workshops and the chance to tackle meaningful projects that make a real impact. POSITION OVERVIEW Urban Science is a company that is focused on leveraging data and logic to solve real world business problems. We use cutting edge analytics, proprietary software solutions, and years of industry experience to help our automotive clients create strategies and solutions that make their customers the focal point of their efforts. The right candidate will develop business acumen, communication and technical skills - all while gaining real world experience with analytical applications. The person selected for this position will work up 40 hours per week during the Summer 2025 internship program (May - August). This role has current Hybrid Workplace flexibility local to our Detroit, MI office location. Candidate must be available and willing to work in-person approximately one day per month. URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE. Essential Duties and Responsibilities Assigned to one or different projects, the intern will: * Actively participate in Urban Science's intern program, attending virtual networking activities with interns from other teams, attending learning sessions with business leaders, and other unique opportunities to learn about the broader business and useful career enhancing topics. * With manager guidance, plan, organize, develop and deliver client-requested reports, deliverables and projects on time, adhering to client requested specifications. * Work with extensive databases utilizing Urban Science proprietary software. * Track, process, analyze and verify data using Microsoft products, such as Excel and Access * Help plan, organize, develop and deliver client-requested projects and ad hoc requests within in prescribed time schedule. * Focus on improving new and existing processes to effectively and efficiently communicate data from various sources such as dealership sales and financials, vehicle registrations, customer satisfaction, demographics, economics, etc. * Adhere to quality control standards for Urban Science and the client. * Other duties as assigned. Qualifications - Education and Experience To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Have a fundamental understanding of database concepts in order to complete client requests * Have a fundamental understanding of MS Excel for charting and graphing of data, writing formulas within cells, and/or filtering, sorting, and formatting data * Have fundamental computer programming knowledge and skills * College level math skills and solid mathematical grounding required * Ability to prioritize competing demands, manage multiple concurrent tasks and adapt to changing priorities * Ability to collaborate with other team members and have dedication to meeting and exceeding their expectations * Strong organizational skills and attention to detail EDUCATION and/or EXPERIENCE * Current enrollment in a Baccalaureate or Master's program in a technical field (engineering, applied math, computer science, applied science, MIS, or other) at an accredited U.S. college or university, or equivalent foreign institution is required * Technical skills necessary to support Urban Science systems * Microsoft Word, Access, Excel, and PowerPoint skills required * Knowledge of SQL preferred WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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.

At [Radiant], we're proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, we're able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we're searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth. Responsibilities Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Objectives of this role Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks Identify trends and opportunities for growth through analysis of complex datasets Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets Create best-practice reports based on data mining, analysis, and visualization Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work directly with managers and users to gather requirements, provide status updates, and build relationships Required skills and qualifications Three or more years of experience mining data as a data analyst Proven analytics skills, including mining, evaluation, and visualization Technical writing experience in relevant areas, including queries, reports, and presentations Strong SQL or Excel skills, with aptitude for learning other analytics tools About Radiant: Founded in 1995, Radiant Systems, Inc. is a global provider of technology to the hospitality and retail industries. Radiant's point of sale hardware and software solutions was created for the consumer experience in restaurants, retail stores, stadiums, parks, arenas, cinemas, convenience stores, fuel centers and other customer-service venues. Radiant has offices in North America, Europe, Asia and Australia.. We work through various selection modules and recruit only the best minds for organizations that associate with us. We believe in creating a network that can help companies find the smartest minds and enable them to reach their highest potential. Our services include a streamlined approach to find the perfect staff and create a community of like-minded people in an office space. We are Radiant, a Global Consulting Company that came to light in 1995. We are humbled to claim that our services are being availed by 50 of the Top Fortune 500 Global Corporations. At present, we are running our radar proactively with 1300+ employees and serving for over 2 decades now. We have 10 offices in the USA and a presence in Canada, UK, Netherlands, Switzerland, and India. [Radiant] benefits include [health, dental, life]. Employees can also take advantage of [AD&D insurance, employee wellness and 401k plans].

who can write SQL queries and understand output from an explain plan.. Write large queries for data load/output Additional Information All your information will be kept confidential according to EEO guidelines.

Why join? Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand. Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis. Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base Focus is on “working families”, “everyday Americans”, “ordinary citizens”, “mainstream population” “average income households”, providing life insurance products that truly impact people's lives (more information will be provided in the interview). Team (Culture): USA Today named us a 2024 top US workplace Who are we looking for? The Data Analyst II ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst II, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive departmental strategies and decision-making. Responsibilities How will you contribute? Develop automated, easy to understand reports and ad hoc analyses to address specific questions and provide insights to guide decision making for the Digital Marketing organization. Manage data extraction, storage, transformation, and processing through data analytics routines to support audit activities, and to create repeatable data analytics to support continuous monitoring programs. Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL, Power BI, Google Analytics) to gather, clean, and analyze large datasets from various sources, identifying trends, patterns, and key performance metrics for SEM, Email, programmatic marketing, and other digital marketing efforts. Collaborate closely with team to interpret data and provide actionable insights to optimize overall strategic priorities and strategies. Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that staff can easily interpret and use to inform their strategies. Monitor and report on key performance indicators (KPIs), tracking initiatives against established goals, and providing regular updates to stakeholders. Maintain clear and organized documentation of data sources, methodologies, and analysis results. Perform administration of the analytics and reporting tools, which includes maintaining user access and change management responsibilities over the applications. Carry out special projects as deemed appropriate by management. Qualifications What do you offer? Bachelor in Statistics, Economics, Computer Science, or related technical field. Master's degree is a plus. A minimum of two years' experience working as a Data Analyst or similar role. Proficient in data analytics software, such as R, SQL, or Python, is required. Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools. Proficient with personal computers and in using Microsoft Office software products. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment. What can we offer? Enjoy a hybrid work environment that promotes work-life balance. Comprehensive medical, dental, and vision coverage starting from your first day. Employer 401k match and employer contribution to a pension plan. Generous PTO and paid parental leave to support your family needs. Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.

We have an exciting Data Scientist opportunity available in our Analytics Center of Excellence - the power hub of analytics for Blue Cross Blue Shield of Michigan (BCBSM)! About the Role You will be working with various verticals within organization (e.g., actuaries, marketing, commercial, government and retail business etc.) to solve important business problems to provide a quality and affordable healthcare solutions for our customers and members. In this Data Scientist opportunity, you will: Own/manage lifecycle of the ‘data product' in collaboration with functional teams - define the problem, identify/integrate appropriate data sources, iteratively build analytics engine aligning with business goal, operationalize it, and when appropriate retire it. Lead discussions with business stakeholders to crisply define what is often a vaguely articulated problem, assist them selecting solution approaches based on the ACOE (Analytics Center of Excellence) recommended analytics approaches considering pros/cons. Work closely with ACOE engineering and Enterprise IT (Information Technology) teams to build and implement advanced analytics solutions in production system(s). Manage junior data scientists within ACOE, providing project level oversight, technical expertise to contribute to successful project outcomes. Provide mentorship and guidance to junior data scientists, fostering a nurturing environment for career growth. Please Note: Hybrid work structure, which requires working minimum 1-day per week on-site at our downtown Detroit office (we provide free parking that is within covered structure connected directly to our building). Qualifications Bachelor's degree in Computer Science, Statistics, Economics, Engineering, Operations Research, Data Science, Artificial Intelligence or related field is required. Master's degree or PhD in related field is preferred. A minimum of six (6) years of related work experience is required. Previous experience programming (2 or more languages, including python) is required. Previous experience working in the healthcare and/or consulting industry is preferred. Advanced knowledge of big data platforms (i.e., Map/Reduce, YARN, HDFS, etc.), query building (i.e. PL/SQL, HIVE, Impala, SparkSQL, etc.), parallel compute frameworks, programming (i.e. R, Python, C, Java, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.). Advanced statistical modeling skills (i.e., linear and non-linear regression, neural networks, logistic regression, decision trees, gradient boosting machines, support vector machines, random forests, etc.). Strong knowledge of statistical testing techniques (i.e., odds-ratios, t-tests, chi-squared, ANOVA, etc.). Experience with code version control systems (e.g., git/GitHub) is required. Intermediate skills in Microsoft Access, Word, PowerPoint, and Excel. Strong analytical, organizational, and problem-solving skills. Experience in managing multiple data-science/analytics projects and leading discussions with business stakeholders. Previous experience of building data products is preferred. Demonstrable experience of elegantly applying mathematical/algorithmic concepts to solve real-world problems, e.g., greedy algorithm to solve scheduling problem etc. Experience with Databricks platform is preferred. Advanced written and verbal communication skills. All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability. #LI-TA1

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.

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.

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.

IWe 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... As an Data Scientist in Manufacturing Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products. What you'll do... Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics. Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. Act as a consultant to the business vs. an order taker. Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. You'll have... Bachelor's Degree in Data Science, Computer Science, Applied or Mathematical Statistics, or a closely related Engineering degree with a Data Science major. 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis 1+ year of experience delivering analytics solutions 1+ year experience with Agile team methodology Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization Even better, you may have... Master's degree or PhD preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory) Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem Experience with Product Driven Operating Model or Agile Product Development Process Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users Comfortable working in an environment where problems are not always well-defined Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner Well-organized, independent, and ready to work with minimal supervision Inquisitive, proactive, and interested in learning new tools and techniques Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc. Thorough understanding of the ‘Common Data Model' standard published by Manufacturing Understanding of the IIoT Platform architecture including MQTT 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 **************. #LI-Hybrid #LI-MG1

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? In this position... Ford is redefining how it will build a better world for the future by creating a culture and opportunities where employees will capitalize on Ford's excellence in designing and building the most iconic products while also helping develop the future of world-class connected Battery Electric Vehicles (BEV). We call this new business Model e. The creation of Model e was informed by the success of small, passionate Ford teams that developed the Mustang Mach-E SUV and F-150 Lightning pickup, as well as Ford's dedicated EV division in China. Similarly, dedicated teams within Model e will create the software platforms and fully networked vehicle architectures to support delightful, always-on and ever-improving vehicles and experiences that will allow us to deliver over 50% of our total sales in BEV and 33 million connected vehicles by 2030. We are building a team of the world's best software, electrical and automotive talent and turning them loose to create shockingly great electric vehicles and digital experiences for new generations of customers. These changes in our business will allow us the greatest opportunity to bring value and serve customers since Henry Ford scaled the Model T. What you'll do... This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive important GTM use cases within the recently launched Model e business. The Data Scientist will drive and lead building, maintaining, and refining the machine-learning capabilities that will be the core of Model e's new business decisions, including dynamic pricing, dynamic service pricing, dynamic subscription pricing, etc. The Data Scientist will be an integral part of the GTM technical team for the Model e business. Reporting to the Head of Global Pricing & GTM Data Science, this person will lead critical projects in the pipeline that will shape the future of Ford Model e. The Data Scientist will build and maintain data science and analytics capabilities that will be central to Model e's Pricing and GTM requirements. This technical leader will interface directly with Ford's Global Data Insights & Analytics team (GDIA) as well as with Ford IT to build and advance the frontiers of Model e's go-to-market model (e.g., dynamic service pricing models, subscription pricing models, etc.) and will be critical to unlocking sustainable value creation for Ford's Model e EV business. The Data Scientist will have a strong technical background, with experience building digital products from concept through to deployment. The ideal candidate will have strong data science capabilities (Python, SQL, Airflow, ML algorithmic techniques), experience working on cloud-based systems (ideally Google Cloud) as has worked in a business context where translating business requirements into technical solutions was essential. They will be a natural problem solver and strategist who will enjoy working in an entrepreneurial environment and stitching together components from the traditional Ford business with transformational ideas and concepts to drive the Model e go to market strategy. They will have the ability to build critical relationships and work cross functionally with members of marketing, sales, finance, GDIA, IT, etc. As a technical leader they will mentor junior team members and help build a culture of trust and a sense of belonging, accountability, speed, and the ability to constructively challenge each other. They will have a strong bias to action, iterate quickly and have fun while doing the best work of their career. You'll have... •Bachelor's degree in an appropriate field of study •3+ years of experience, with specific focus on data science and machine learning Technical qualifications: -3+ years of DS experience with end-to-end cloud-based development (develop, test, industrialize, deploy), Google Cloud preferred -3+ years of Coding experience with Python modeling, with demonstrated ability to go from concept through to implementation. -Experience with Pandas, Scikit learn, and NumPy packages as well as ensemble-based ML algorithms (e.g., random forest, gradient boosted trees) and Deep Learning algorithms (e.g., RNNs, CNNs, GANs). Expertise in time series modeling. Working knowledge of natural language processing and anomaly detections. -3+ years of SQL experience for data manipulation/data engineering Even better, you may have... •Master's degree, PhD, or MBA in an appropriate field of study •North America and global experience •Tangible experience with the full life cycle of building digital solutions (from PoC through to Production) •Relevant experience linking business requirements to digital product development •Record of accomplishment working DevOps and agile (vs. waterfall approach) Disruptor - willing to push for change •Challenger mindset - ability to push past status quo & obstacles to implement vision 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: ********************************** Visa sponsorship is not 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 **************. #LI-Remote #LI-KJ1 JD missing, template provided to have by discovery call. JD missing, template provided to have by discovery call.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

Role Overview: As an Analytics and Data Intern, you will dive into the world of data, working alongside our talented team to uncover insights and drive business strategies. This is a fantastic opportunity to gain hands-on experience with cutting-edge technologies and make a real impact. Educational Background: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Technical Skills: Proficiency in SQL for database management and querying. Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB. Familiarity with vector databases like Pinecone, Weaviate, or Milvus. Experience with Microsoft Azure services, including Azure SQL Database, Azure Data Factory, and Azure Machine Learning. Familiarity with programming languages such as Python or R. Analytical Skills: Strong analytical and problem-solving abilities. Ability to identify patterns and trends in data sets. Data Management: Experience in data collection, cleaning, and organization. Understanding of data preprocessing, feature engineering, and data pipeline development. Communication Skills: Excellent communication and interpersonal skills. Ability to create and present clear and informative reports and visualizations. Additional Skills: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., Apache Spark, Hadoop).

Why join? Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand. * Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis. * Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base * Focus is on "working families", "everyday Americans", "ordinary citizens", "mainstream population" "average income households", providing life insurance products that truly impact people's lives (more information will be provided in the interview). * Team (Culture): USA Today named us a 2024 top US workplace Who are we looking for? The Data Analyst II ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst II, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive departmental strategies and decision-making. Responsibilities How will you contribute? * Develop automated, easy to understand reports and ad hoc analyses to address specific questions and provide insights to guide decision making for the Digital Marketing organization. * Manage data extraction, storage, transformation, and processing through data analytics routines to support audit activities, and to create repeatable data analytics to support continuous monitoring programs. * Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL, Power BI, Google Analytics) to gather, clean, and analyze large datasets from various sources, identifying trends, patterns, and key performance metrics for SEM, Email, programmatic marketing, and other digital marketing efforts. * Collaborate closely with team to interpret data and provide actionable insights to optimize overall strategic priorities and strategies. * Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that staff can easily interpret and use to inform their strategies. * Monitor and report on key performance indicators (KPIs), tracking initiatives against established goals, and providing regular updates to stakeholders. * Maintain clear and organized documentation of data sources, methodologies, and analysis results. * Perform administration of the analytics and reporting tools, which includes maintaining user access and change management responsibilities over the applications. * Carry out special projects as deemed appropriate by management. Qualifications What do you offer? * Bachelor in Statistics, Economics, Computer Science, or related technical field. Master's degree is a plus. * A minimum of two years' experience working as a Data Analyst or similar role. * Proficient in data analytics software, such as R, SQL, or Python, is required. * Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools. * Proficient with personal computers and in using Microsoft Office software products. * Ability to work independently and collaboratively in a fast-paced, deadline-driven environment. What can we offer? * Enjoy a hybrid work environment that promotes work-life balance. * Comprehensive medical, dental, and vision coverage starting from your first day. * Employer 401k match and employer contribution to a pension plan. * Generous PTO and paid parental leave to support your family needs. * Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.

IWe 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... As an Data Scientist in Manufacturing Analytics, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products. What you'll do... Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics. Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. Act as a consultant to the business vs. an order taker. Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt. You'll have... Bachelor's Degree in Data Science, Computer Science, Applied or Mathematical Statistics, or a closely related Engineering degree with a Data Science major. 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis 1+ year of experience delivering analytics solutions 1+ year experience with Agile team methodology Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization Even better, you may have... Master's degree or PhD preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory) Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem Experience with Product Driven Operating Model or Agile Product Development Process Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users Comfortable working in an environment where problems are not always well-defined Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner Well-organized, independent, and ready to work with minimal supervision Inquisitive, proactive, and interested in learning new tools and techniques Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc. Thorough understanding of the ‘Common Data Model' standard published by Manufacturing Understanding of the IIoT Platform architecture including MQTT 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 **************. #LI-Hybrid #LI-MG1