Data Analysis: Lead the analysis of large, complex datasets to extract actionable insights.
Model Development: Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our clients, set performance guarantees, and drive improve Member experience
ML-Ops: Oversee the deployment and maintenance of machine learning models in production, ensuring robust and scalable solutions.
Collaboration: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.
Innovation: Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing processes and models.
Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.
Compliance: Ensure all data practices comply with industry regulations and company policies.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
Human Resources Request Form. The EEOC "Know Your Rights" Poster is available
here.
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https://insightglobal.com/workforce-privacy-policy/ .
Masters or PHD in Data Sci, Comp Sci, Stat, or related field
5yrs+ Experience in data science roles, with a focus on the health ins. industry and/or in forecasting methods
Proficiency in Python and BigQuery, strong experience with Google Cloud
Expertise in ML-Ops, including working with DAGs and following CI/CD pipelines
Advanced knowledge of Time Series forecasting techniques, and ML Methods including classics like SARIMA, exponential smoothing, time series regressions, and LSTM, XGBoost, etc
Understanding of and experience with casual inference methods (difference in differences, synthetic control, instrumental variables, etc) and experimental design
Problem solving skills and the ability to work with complex data sets
Strong communication and the ability to lead/mentor a team of data scientists
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.