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Sr. AI Data Scientist
4 weeks ago
Location: Remote (Nationwide)
Employment Type: Full-Time/Perm
Description:
• The Senior Data Scientist plays a pivotal role in analyzing complex datasets to provide actionable insights and innovative solutions.
• This position leverages mathematical, statistical, and technological expertise to develop predictive models, reports, and strategies that align with business goals.
• With significant autonomy, the role involves interpreting data, creating advanced analytics, and contributing to strategic decision-making.
Responsibilities:
• Develop and validate machine learning and statistical models to support business strategy.
• Gather, manage, and analyze structured and unstructured data for reporting and analytics.
• Research and apply innovative analytical methodologies and techniques.
• Collaborate with cross-functional teams to define objectives and develop actionable insights.
• Interpret and present analytical results to both technical and non-technical stakeholders.
• Create comprehensive reports, projections, and visual presentations.
• Adhere to established guidelines and contribute to strategic discussions.
Required Skills:
• Master's Degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, or related discipline).
• 3+ years of experience in advanced data analytics and model development.
• Proficiency in tools and programming languages such as Python, R, SQL, or similar.
• Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis.
• Strong skills in handling structured and unstructured datasets for reporting and modeling.
• Excellent communication skills with the ability to simplify complex concepts for diverse audiences.
• Proven ability to work independently and exercise sound judgment on technical approaches.
Desired Skills:
• PhD in a quantitative field (e.g., Data Science, Mathematics, or Statistics).
• Experience in healthcare analytics or managed care environments.
• Familiarity with Natural Language Processing (NLP) and large language models.
• Proficiency in visualization tools like Tableau or Power BI.
• Experience with cloud platforms such as Azure or AWS and big data tools like PySpark.
• Knowledge of cost trend analysis, health economics, and experimental design.
• Background in actuarial methods or deep learning techniques.
Compensation:
Pay Range: Market Rate
Benefits:
A comprehensive benefits package is offered. Reach out to your Mitchell Martin Recruiter Nadine Ghabrial, nghabrial@itmmi.com to find out more.
EEO Statement:
Learn more about our EEO policy here (https://www.mitchellmartin.com/eoe-statement).
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