Data Scientist Jobs in Fort Wayne, IN

Job Type: Fulltime Experience: 10+years As an Advanced Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization. You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset. Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques. 4+ years of professional Data Development experience. 4+ years of experience with SQL and NoSQL technologies. 3+ years of experience building and maintaining data pipelines and workflows. 5+ years of experience developing with Java. 2+ years of experience developing with Python. 3+ years of experience developing Kafka solutions. 2+ years of experience in feature engineering for machine learning pipelines. Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Additional Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience understanding Databricks concepts. Experience with PySpark and Spark development. Roles & Responsibilities: Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges. Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards. Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities. Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements. Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions Support flows for an ML platform in GCP and needs to be able to work with data science and understand the ML concepts in terms of requirements to be met by the data. #LI-RJ2 Salary Range - $93,700-$135,000 a year

High Alpha is hiring a key team member for a new B2B SaaS startup in Indianapolis focused on generative AI in the marketing industry. This position will join High Alpha's latest company, Backstroke. If you're interested in working in a generative AI start-up and building from the ground floor-this is it! About the Role: We are seeking a skilled Data Engineer with MLOps expertise to join our fast-growing startup. This role is ideal for a mid-level engineer who is eager to grow, take ownership of projects, and collaborate in a dynamic environment. The ideal candidate will be responsible for designing, building, and maintaining data pipelines that support machine learning (ML) models in production. This role requires strong experience in data engineering, cloud infrastructure, automation, and DevOps practices tailored for ML workflows. Candidates with experience in Artificial Intelligence (AI) and advanced machine learning solutions will be highly favored. Key Responsibilities: Design, develop, and maintain scalable and reliable data pipelines to support ML models. Implement MLOps best practices, including model versioning, monitoring, and CI/CD automation for ML workflows. Work closely with data scientists, ML engineers, and software developers to integrate ML models into production environments. Ensure data quality, consistency, and security across pipelines and storage solutions. Automate data ingestion, transformation, and feature engineering processes. Deploy and manage containerized ML services using tools such as Docker and Kubernetes. Optimize cloud-based data architectures (AWS, GCP, or Azure) for cost and performance efficiency. Implement model monitoring and retraining pipelines to maintain model performance over time. Work extensively with Databricks for data processing, pipeline orchestration, and ML model deployment. Collaborate with DevOps and security teams to ensure compliance with data governance and security policies. Required Skills & Qualifications: 2-4 years of experience in data engineering, with a strong focus on MLOps. Proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, Apache Beam, or Kafka). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their ML/AI services. Expertise in containerization and orchestration (Docker, Kubernetes, Airflow). Experience with CI/CD pipelines for ML models using tools like MLflow, GitHub Actions, or Jenkins. Strong understanding of feature stores, model registries, and versioning systems. Knowledge of data warehousing solutions such as Snowflake, BigQuery, or Redshift. Familiarity with Databricks for data engineering and MLOps workflows. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Ability to work in agile teams, collaborate effectively, and communicate technical concepts clearly. Preferred Qualifications: Experience with AI-driven solutions and deep learning frameworks (TensorFlow, PyTorch, etc.). Experience with data lake architectures and real-time data processing. Knowledge of Terraform or CloudFormation for infrastructure as code (IaC). Understanding of ethical AI and responsible AI deployment practices. Why Join Us? Join a fast-growing startup working on cutting-edge AI/ML projects. Gain hands-on experience in a dynamic, high-growth environment with opportunities for ownership. Opportunities for continuous learning and professional development. Competitive salary, benefits, and flexible work arrangements. Inclusive and innovative work environment where your contributions make a real impact. Compensation: $92K - $118K Backstroke is an equal opportunity employer, and we value diversity at our company. We don't discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Data Engineer Location: Cincinnati OH Job Summary: Skills Required Data Modeling Domain Driven Design Data Profiling and general Analysis Data Platforms Modernization Data Migration Emphasis on data management for OLTP systems but can help Data Warehouse team as well Technical Required ERD Logical Data Modeling tool Erwin or similar Databases and related Postgres Oracle Physical Data Model and architecture strong SQL skills stored procedures reading and understanding JSON Preferable Python Kafka Enterprise Elastic Search Bonus Data Services Rest API Hazelcast Java CRUD Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Is Data your thing, well, we have what you are looking for on your next career move. Role / Responsibilities The position is responsible for providing ongoing maintenance and support of a complex application that supports communicable disease surveillance, registries, and case management systems that are critical to supporting effective responses to public health emergencies and reducing the burden of communicable diseases. You will provide technical oversight to other developers in the team that support other critical applications. Lead the design and development of scalable and high-performance solutions using AWS services. Experience with Databricks, Elastic search, Kibanna, S3. Experience with Extract, Transform, and Load (ETL) processes and data pipelines. Write clean, maintainable, and efficient code in Python/Scala. Experience with AWS Cloud-based Application Development Experience in Electronic Health Records (EHR) HL7 solutions. Implement and manage Elastic Search engine for efficient data retrieval and analysis. Experience with data warehousing, data visualization Tools, data integrity Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects. Excellent knowledge in designing both logical and physical database model Develop database objects including stored procedures, functions, Extensive knowledge on source control tools such as GIT Develop software design documents and work with stakeholders for review and approval. Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements Experience working on large agile projects. Experience or Knowledge on creating CI/CD pipelines using Azure Devops Qualifications 12+ years developing complex database systems. 8+ years Databricks. 8+ years using Elastic search 8+ years using Python/Scala. 8+ years Oracle. 5+ years experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines. 5+ years experience with AWS. Over 5+ years experience with data warehousing, data visualization Tools, data integrity . Over 5+ years using CMM/CMMI Level 3 methods and practices. Over 5+ years implemented agile development processes including test driven development. Over 3+ years Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have

Collaborate with the company SME to understand business rules, processes, and data needs. Facilitate discussions to identify key entities, attributes, and relationships relevant to business operations, leveraging the SME's expertise. Data Modeling & Design Logical Data Model : Define data elements, attributes, keys, relationships, and constraints, ensuring normalization and standardization for consistency and efficiency. Physical Data Model : Convert the logical model into a database schema (tables, columns, indexes, partitions) and refine it based on input from database engineers to align with actual system design. Collaborate with the SME, data engineers, and DBAs to deploy models in the target data platform (SQL, NoSQL, Data Lake, Cloud, etc.), providing ongoing inputs and clarifications as needed. Continuously update and refine the model based on technical feedback and evolving business requirements. Follow best practices in data modeling and design to ensure scalability, performance, and maintainability. Informal Testing & Validation Conduct informal testing to verify the accuracy and integrity of the data model before formal deployment. Reviewing Data Models Assess externally supplied data models upon request, ensuring alignment with business needs, and architectural guidelines. Provide recommendations to improve efficiency, and scalability. Collaborate with manufacturing SMEs, engineers, and business users to refine the model. Documentation & Continuous Improvement Maintain comprehensive documentation, including ER diagrams, data entity and field descriptions, data dictionaries, metadata catalogs, and data lineage information. Play a key role in enhancing and maintaining the standard design principles document, ensuring future data models align with best practices and organizational needs.

Now is your chance to join an organization where WHAT YOU DO MATTERS! Why join the AmeriQual team? AmeriQual Group, a shelf-stable food manufacturer headquartered in Evansville, IN provides innovative solutions to the United States government, major branded food companies, food service providers, and retailers. A combination of expertise, ingenuity, and state-of-the-art equipment provides flexibility to meet our customers' requirements. Dynamic company growth is creating exciting opportunities and empowering our team to innovate, collaborate, and drive positive change. We seek energetic, optimistic leaders and offer comprehensive programs to foster career development and personal growth, including both internal and external training, along with tuition reimbursement. Our excellent benefit package features affordable options tailored to diverse needs, while our unparalleled bonus structure and growth potential reward dedication and excellence. Emphasizing work-life balance, we support our team with ample holiday and vacation time, ensuring they thrive both personally and professionally. AmeriQual Foods is seeking a Data Analyst. This position provides management and analysis of business data for use in decision making and organizational improvement initiatives. This is a salaried position with primarily 1st shift hours. Duties and Responsibilities Aggregate and perform statistical analysis on business data based on requests from project teams or senior leadership. Integrate data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed. Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) across the supply chain and production processes. Design, evaluate, and provide reports based on the collection of data related to the sourcing, contracting, management, and performance of suppliers and vendors Apply knowledge and analytics to develop and communicate timely, accurate, and actionable insight to the business through the use of modeling, visualization, and optimization Responsible for the reporting, analyzing, and predicting of operational processes, performance, and Key Performance Indicators Assists site operations in identifying areas for improving service levels, reducing operational costs, and providing other operational enhancements Work with the supply chain team to optimize inventory levels, reduce lead times, and improve supply chain efficiency. Responsible for tracking, planning, analysis, and forecasting of storage capacities, inventory levels, equipment and/or labor requirements Qualifications Bachelor's degree in statistical analysis, business analytics, or related field 2+ years of experience in data analysis, preferably within manufacturing or supply chain environments. Strong proficiency in SQL, Excel, and data visualization tools such as Power BI, Python, or similar platforms. Familiarity with statistical analysis and forecasting methods is desirable. Excellent communication and interpersonal skills, with a team mentality but also the ability to work independently and achieve goals with minimal direct supervision. Ability to multitask and prioritize to keep up with a quickly changing environment Competitive salary and excellent benefit package available including free health clinic, medical, dental, vision, 401(k), and more! Please see ******************************* for more information and to apply for this position today! AmeriQual is an equal opportunity employer committed to diversity, equity, and inclusion in the workplace, and all employment-related decisions, terms, and conditions are based on qualifications, merit, and business needs. Applicants are considered for employment without regard to race, color, gender, national origin, age, religion, mental or physical disability, sexual orientation, gender identity, veteran status, genetic information, or any other status protected under federal, state, or local laws. AmeriQual is committed to providing access, equal opportunity, and reasonable accommodation to individuals with disabilities.

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.

Commercial Pricing Actuary Join a growing company! A P&C insurer is seeking their next Commercial Pricing Actuary. This position is responsible for providing support to Commercial Operations in California, giving pricing recommendations, and preparing rate filing support. (#56823) Requirements: Bachelor's Degree. ACAS or FCAS designation. 7+ years of actuarial experience. Knowledge of California commercial lines. Strong commercial pricing experience. Excellent communication, interpersonal and organizational skills Compensation: A salary range of $150 - $230K. Location: Fairfield, OH - Hybrid Cincinnati, OH - Hybrid

**************** 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

What's the role? In this role as a Lead Data Scientist, you will be contributing to the research of new algorithms and analysis of customer data. You will be responsible for performing statistical analyses on large datasets. You will use your software engineering skills to further develop our data analytics tools. Your role encompasses the following key responsibilities: * Research new anonymization algorithms including defining and verifying key metrics * Apply machine learning techniques to extract insights and build predictive models * Create data visualizations and dashboards to communicate findings effectively * Demonstrate your findings on a regular basis to the team * Generate ideas for new patents and participate in patenting process * Participate in code reviews, providing objective feedback and improving overall software quality * Actively participate in sprint planning, backlog refinement and other Agile ceremonies with the team Who are you? You are a passionate engineer and are willing to quickly learn new things.You have a unique blend of data analysis expertise and programming proficiency, with a focus on data protection and machine learning. Furthermore you have : * Bachelor's degree or higher in Computer Science, Data Science or equivalent field * Seven to ten years of overall work experience including 5+ years of experience in data analysis and software development * Strong proficiency in Python programming (including pandas) * Expertise in machine learning algorithms and their applications * Solid understanding of statistical analysis and data visualization techniques * Excellent problem-solving and critical thinking skills * Being able to work autonomously * Willingness to ensure the quality of your own code * Upper-intermediate level of written and spoken English, ability to articulate and communicate clearly complex topics. What we offer: * A great work-life balance * Hybrid working model * Flexible working hours * Competitive base salary plus incentives * Challenging problems to solve * Collaborative and encouraging colleagues * Regular feedbacks HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change. Join us. Learn more about us. Watch video In this position you will be part of the HERE Anonymizer team, which provides a high-quality probe data anonymization solution. It transforms huge amounts of car trajectory data to comply with worldwide data protection laws and regulations. We are a small team of talented engineers located in Mumbai/India and Berlin/Germany. Our culture is founded on openness, collaboration and honesty, with colleagues who are brilliant in their field, helpful, resilient, loyal and strive for the best. One team in that everyone makes a difference and everyone is heard.

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.

The student in this position will work closely with Purdue's Rosen Center for Advanced Computing (RCAC) Research Software Engineering (RSE) team-a multidisciplinary group of data scientists, visualization scientists, and research software engineers-while collaborating directly with the Lead AI Scientist and RSE Project Lead. This role supports the development of a proof-of-concept system for a Department of Defense (DoD)-funded project of national importance, offering a unique opportunity to gain hands-on experience in data science, AI, and prototype development. Due to the nature of the project, U.S. citizenship is required. Responsibilities: * Collaborate with the RCAC-RSE team to develop and test data workflows and pipelines for structured and unstructured data. * Contribute to the creation of proof-of-concept systems using tools like Streamlit or Gradio for building web-based interfaces. * Support the integration of machine learning models and data visualization tools into the system. * Assist in documenting processes, tools, and workflows to ensure project sustainability. Skills Required: * Foundational knowledge of data science, statistics, and machine learning. * Experience with Natural Language Processing (NLP), including text processing and modeling * Proficiency in Python and familiarity with common data science libraries (e.g., Pandas, NumPy). * Basic understanding of web-based interface development and tools (e.g., Streamlit, Gradio). * Strong problem-solving skills and the ability to work collaboratively in a team environment. Preferred Qualifications: * Familiarity with natural language processing (NLP) concepts or database integration. * Enrollment as a graduate student at Purdue University, particularly in disciplines such as Computer Science, CNIT, or related fields. * Ability to work in a hybrid setup, with occasional in-person collaboration at Purdue's campus in West Lafayette, Indiana. * Experience with tools for data visualization and analysis. * Prior exposure to prototype or proof-of-concept development. Learning Opportunities: This position provides a unique opportunity to apply data science and AI concepts in a real-world, multidisciplinary research setting. The student will gain valuable experience working alongside experts in data science, AI, and software engineering while contributing to a project with direct applications in the defense sector. Eligibility Requirements: This project is funded by the Department of Defense. Only U.S. citizens are eligible to apply. Compensation and Time Commitment: This position requires up to 20 hours per week, with flexible scheduling to accommodate academic commitments. Compensation will align with Purdue University's graduate student rates. Apply now Posting Start Date: 2/14/25

Onebridge, a Marlabs Company, is an AI and data analytics consulting firm that strives to improve outcomes for the people we serve through data and technology. We have served some of the largest healthcare, life sciences, manufacturing, financial services, and government entities in the U.S. since 2005. We have an exciting opportunity for a highly skilled Data Scientist to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015. Candidates are required to be onsite 2-3 days per week in Indianapolis, IN. Data Scientist | About You As a Data Scientist, you will be responsible for analyzing complex datasets to extract actionable insights that inform critical business decisions. You will collaborate with cross-functional teams to identify trends, patterns, and areas for operational improvement. Your strong analytical skills will enable you to identify key problem areas and build effective models to address real-world challenges. You'll leverage your expertise in data manipulation and visualization to automate reporting processes, ensuring data is both accessible and actionable. Comfortable with ambiguity, you proactively uncover insights and drive continuous improvements. Your ability to communicate technical findings clearly and collaborate effectively will help transform data into impactful business solutions. Data Scientist | Day-to-Day Analyze ServiceNow ticket data (stored in AWS S3) to identify high-ticket volumes and recurring issues. Use statistical methods and machine learning models to categorize tickets and determine the root causes of frequent issues (e.g., system access, password resets). Identify trends and patterns in ticket data to help prioritize IT support needs and optimize resource allocation. Work with a data visualization specialist to present insights through Power BI and automate reporting processes. Collaborate with cross-functional teams to ensure data accuracy and provide recommendations for addressing recurring issues to improve IT efficiency. Continuously improve data analysis processes to ensure ongoing operational optimization. Data Scientist | Skills & Experience 7+ years of experience as a Data Scientist or in a similar analytical role, preferably within healthcare or IT industries. Expertise in Python, R, or SQL for data analysis, automation, and model development. Proven experience working with large datasets and cloud-based storage solutions (e.g., AWS S3). Strong statistical, analytical, and problem-solving skills with a focus on driving actionable insights. Proficient in data visualization tools such as Power BI, with the ability to communicate complex findings to both technical and non-technical stakeholders. A Best Place to Work in Indiana since 2015

Join the team that provides expertise in data science and analytics for JP Morgan Private Client! As a Data Scientist Lead, within the JPM Private Client Data and Analytics team, you will be responsible for supporting partner relationships within the Private Client Sales Strategy team through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and overall portfolio performance analysis. **Job responsibilities:** + Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations. + Lead the analytical optimization of the sales funnel and act as a subject matter expert to identify opportunities that impact sales. + Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives. + Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques. + Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management. + Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python, SAS, or Scala. + Stay updated on industry trends and test new tools and techniques to address business challenges. **Required qualifications, capabilities, and skills:** + Masters or PhD in a related field, or bachelor's with 5+ years' experience in a related discipline; 6+ years of related Marketing Analytics experience + Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis) + Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R) + Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures. + Technical understanding of data extraction, transformation, and load processing and proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) + Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks + Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans **Base Pay/Salary** New York,NY $142,500.00 - $210,000.00 / year; Jersey City,NJ $142,500.00 - $210,000.00 / year; San Francisco,CA $142,500.00 - $210,000.00 / year

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. We are seeking a highly skilled and experienced Sr. Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities + Leads multiple data science projects ensuring alignment with business goals. + Develops predictive models and integrates them with Business Intelligence tools. + Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale. + Mentors junior data scientists in model development and data handling. + Engages with Senior Leadership to inform strategic decisions using business intelligence insights. + Researches and adopts cutting-edge technologies and methodologies in data science. + Manages stakeholder expectations and delivers actionable solutions. + Oversees data processing pipelines ensuring data quality and consistency. + Drives ethical considerations in model deployment and data utilization. + Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets. + Performs exploratory data analysis to identify patterns, insights, and communicate findings. + Engage in the ideation and prototyping of new solutions to meet emerging business requirements. + Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions. Education and Experience + Bachelor's Degree in Information Technology or related field required. + Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred + 5+ years of relevant experience required. + Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn). + Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications. + Strong problem-solving, critical thinking, and analytical capabilities. Skills + Artificial Intelligence (AI) and Machine Learning (ML) - Understanding of AI/ML concepts, algorithms, and platforms to design architectures that support intelligent systems and enable AI-driven applications. + Business Domain Knowledge - Understanding of business processes, industry trends, and market dynamics to provide relevant and actionable insights for strategic decision-making. + Communication and Collaboration - Excellent communication skills to effectively interact with stakeholders, gather requirements, present architectural proposals, and collaborate with cross-functional teams. + Data Analysis - The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses. + Data Ethics & Responsible Innovation - Knowledge of ethical considerations related to data usage, data-driven technologies, and strategies to mitigate biases in data-driven decision-making. + Data Mining and Extraction - Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns [May result in a change in the way the data is organized but that's ok] Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior. + Data Monetization and Data Science - Familiarity with data monetization strategies and techniques, such as data commercialization, data marketplaces, and data value realization. + Natural Language Processing - Proficiency in analyzing and extracting insights from unstructured text data, including sentiment analysis, topic modeling, and language understanding. + Problem-Solving and Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions. + Reporting and Dashboarding - The ability to access information from databases, forms, and other sources, and prepare reports according to requirements. + Statistical Analysis - Statistical Analysis is used in support of decision-making and includes fundamental principles such as data collection and sampling, random variable types and probability distributions, sampling, and population distributions, making estimations from samples, hypothesis testing, and statistical process control. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: San Antonio, Texas Job Requisition ID: 00012975 Pay Min/Max: $101,800.00 - $175,400.00 Salary Grade: 11 - 12 Location Address: 19100 Ridgewood Pkwy Additional locations: Denver CO, Findlay, Ohio Education: Bachelors: Information Technology (Required) Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here (*********************************************************************************************************************************** . If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at *************************************** . Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role. About Marathon Petroleum Corporation Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation's largest refining system. MPC's marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.

We are seeking a highly skilled and experienced Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, with a keen eye for detail and the ability to interpret complex data sets. The Data Analyst will be responsible for collecting, organizing, and analyzing large sets of data to provide insights and recommendations to support business decisions. Key Responsibilities: - Collect, organize, and analyze large sets of data from various sources - Develop and implement data collection systems and strategies - Identify patterns and trends in data sets and provide insights and recommendations to support business decisions - Create and maintain databases and data systems - Develop and implement data quality control procedures - Collaborate with cross-functional teams to identify and address data-related issues - Present findings and recommendations to stakeholders in a clear and concise manner - Stay up-to-date with industry trends and best practices in data analysis and reporting Qualifications: - Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field - Proven experience as a Data Analyst or in a similar role - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Proficient in SQL and data visualization tools such as Tableau or Power BI - Experience with statistical analysis and data mining techniques - Knowledge of programming languages such as Python or R is a plus - Excellent communication and presentation skills - Ability to work independently and in a team environment - Strong problem-solving and critical thinking skills - High level of proficiency in Microsoft Excel and other data analysis tools We offer a competitive salary and benefits package, as well as opportunities for growth and development within the company. If you have a passion for data and a desire to make a significant impact on business decisions, we encourage you to apply for this exciting opportunity.

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 (***************************************************************************************************************************

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Roles and Responsibilities: * Design, develop, and deploy machine learning models and algorithms * Understand business problems and identify opportunities to implement data science solutions. * Develop, verify, and validate analytics to address customer needs and opportunities. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). * Ensure efficient data retrieval and augmentation processes to support LLM training and inference. * Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. * Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: * Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience * 3 years of proficiency in Python (mandatory). * 2 years' experience with machine learning frameworks and deploying models into production environments * Note: Military experience is equivalent to professional experience Eligibility Requirement: * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: * Strong analytical and problem-solving skills. * Excellent communication and collaboration abilities. * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. * Experience with handling unstructured data, including images, videos, and text. * Understanding of computer vision techniques and tools * Ability to work in a fast-paced, dynamic environment. * Experience with data preprocessing and augmentation tools. * Demonstrated expertise in critical thinking and problem-solving methods * Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services * Demonstrated skill in defining and delivering customer value. * Demonstrated expertise working in team settings in various roles * Demonstrated expertise in presentation and communications skills. * Experience with deep learning and neural networks. * Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

To us, CoServe means that “we're in it together” with our business partners. Your priorities are our priorities, and we are vested in your success. This core perspective drives everything we do. We've found that working together is what creates long-term value and profitability. Our mission is to serve you first, and in serving you, we win together. Our vision is to help discover the very best talent on the planet. And then help those people find their ideal work opportunity. CoServe's specific focus is IT and Telecommunication. As serving others has always been our M.O., we have built deep, lasting relationships over the last few decades. These relationships are what make the difference in finding the exact right person at exactly the right time. Job Description PRINCIPAL OBJECTIVE: Maintain the Technical integrity of all Data (WANs/LANs/MANs, and Low speed data), voice (PBX, voice Mail, conference bridges, radio network - PTP, MAS, VHF, & UHF) networks, Video Conferencing, and IXC, LEC and CLEC problem resolution. Has a high degree of technical expertise in most area of infrastructure. Technical integrity will include installation, scheduled maintenance, and problem resolution of all telecommunications equipment and networks within a given geographical area. Position will act as lead person for various activities. Position will serve as a direct customer and interface for the IT process. ESSENTIAL FUNCTIONS: • Installs, maintains, repairs and operates infrastructure within the network, such as but not limited to: • Local Area Network equipment • Wide Area Networking equipment & circuits • Telephone systems; PBX, hybrid key systems and non-KSU systems • Voice processing and Computerized telephone technology • Microwave radio equipment • VHF/UHF radio equipment, Mobile Cellular Phones, and paging infrastructure • Video teleconferencing equipment • Fiber Optic cable systems • UPS systems/AC and DC systems • Other company electronic equipment as needed and/or when requested • Functions as PBX and phone mail administrator • Works closely with telephone company and other company personnel to install and repair telephone circuits • Works with coordinator for telecommunications capital projects • Assures that company microwave and radio system operates within the guidelines set forth by the Federal Communications Commission • Providing first level client PC support • Provides electronic technical support for company engineering and other departments • Assists in the operation and repair of company SCADA and electronic measurement systems • Work with Central Network personnel configuring routers, hubs, and channel banks • Building infrastructure cabling systems, both fiber and metallic mediums. Qualifications Cisco and Avaya Certifications Understand OSI seven Layer model Understand various network protocols Possess basic computer skills and familiar with Microsoft Professional Office Suite products Understands and complies with all OSHA and company safety regulations Additional Information This is an immediate opportunity! Please contact us so we can help you get that first interview!