• Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics • Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting • Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact • Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks • Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models • Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI • Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team

• End-to-End Project Scoping: Take ownership of data science projects from initial problem definition and hypothesis building to final, actionable deliverable. • Product Generalization: Take one-off customer insights and solutions and build them back into the broader, deployable suite of Shift5 core products. • Cross-Functional Collaboration: Partner with embedded analysts, deployment strategists, and forward-deployed engineers to translate complex analyses into immediate customer value. • Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends, and break new ground in leveraging operational data for diagnosis and prediction. • System Optimization: Work closely with programmers, engineers, and leadership to identify process improvements, propose system modifications, and devise long-term data strategies.

• Identifying and evaluating opportunities for 10x to develop new offerings and businesses enabled by the intersection of 10x-generated data and the rapidly evolving landscape of AI and analysis tools • Translating opportunities into investable proposals that fully leverage 10x’s business, channels, capabilities and roadmap, and specifying external capabilities necessary to obtain through partnerships or M&A • Working in a cross-disciplinary manner to develop sound executional plans, including identifying novel capabilities necessary to execute against selected proposals • Championing the vision and plan with senior leadership and the Board to lead to alignment and investment in the right proposals • Leading the execution of new opportunities

• Data skills made easy • 100% online, practice-oriented and flexible — ideal for a career restart or your next career step • In 6, 8, or 12 months you will learn everything you need to get started — with a recognized IHK certification and practical skills in Excel, SQL, Power BI, and Python