What are the responsibilities and job description for the Sr. AI Data Scientist position at Mitchell Martin?
Title : Sr. AI Data Scientist
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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