Sr. Data Scientist
3 weeks ago
We are seeking a Sr. Data Scientist to support our Fortune 100 client, a global provider of healthcare and retail pharmacy services, in developing innovative member outreach campaigns to improve our members’ health, analyze patient behavior to optimize results, and build models to drive business value. In parallel, our engineers and developers build a platform around scalable core capabilities that enable highly targeted and effective member outreaches for our pharmacists across campaigns.
The Details:
Location: Fully remote
Duration: 6-month consulting role with potential for extension or conversion to hire
Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on
What you’ll do:
This senior-level individual contributor role within our client’s Retail Health Services Analytics team is tasked with developing scalable, data-driven insights and products to improve health outcomes. Examples include building prioritization, forecasting and uplift models, identifying and investigating trends and anomalies in data, and delivering solutions that optimize compute and drive automation.
Design, develop, and implement predictive models using advanced data science concepts (e.g., regression modeling, time series forecasting, classification, data clustering, deep learning).
Utilize data mining techniques to extract insights from internal data sources to interpret model impact and goals.
Analyze patient outreach and journey data to help develop benchmarks, optimization strategies and develop analytics solutions.
Develop and participate in presentations and consultations to existing and prospective constituents within the business, technology and operational counterparts on new insights and analytics results.
Collaborate with large teams on code development, including developer-friendly Python packages to make data science-oriented functionalities accessible to the organization.
Develop scalable source code, write tests, and participate in overall architecture discussions to create scalable products and functionalities.
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