Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios
Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment
Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams
Mentor junior team members by providing guidance on best practices in data science
Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value

Requirements

PhD with 1 years of related professional experience OR Master’s degree and 3 years of related professional experience OR bachelor’s degree and 5 years of related professional experience
Must have deep foundational knowledge of statistical modeling and machine learning concepts
Must have expertise with Python (at least 4 years)
Must have proficiency with data transformation using SQL or similar data querying language
Must have experience using version software control (e.g. git) with a team of collaborators
Must have experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark
Fluency in translating business problems into questions that can be answered via analytic methods
Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modelingmachine learningPythonSQLdata transformationversion controlAWSAzureDataBricksSpark

Soft Skills

collaborationcommunicationmentoringguidancerelationship managementproblem translationinnovation

Certifications

PhDMaster's degreeBachelor's degree