Mitchell Martin
Sr. AI Data Scientist
Mitchell Martin, Los Angeles, California, United States, 90079
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).
#LI-NG1
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).
#LI-NG1