Design, build, and refine predictive models using large‑scale structured datasets
Develop feature pipelines, evaluate model performance, and ensure production‑level reliability
Partner with engineering to deploy, monitor, and iterate on ML systems in the cloud
Translate complex analytical findings into clear, actionable insights for internal and client stakeholders
Contribute to shaping new data‑driven features and product capabilities

Requirements

Master’s degree or higher in a quantitative field (PhD preferred)
5+ years of experience in data science or applied ML
Strong proficiency in Python, SQL, and modern ML frameworks
Experience deploying models into production cloud environments
Solid statistical foundation and familiarity with advanced ML techniques
Ability to collaborate across technical and non‑technical teams in a fast‑paced environment
Experience building APIs or lightweight web interfaces (required)
Experience working with large, complex datasets (preferred)
Understanding of cloud‑based ML infrastructure (preferred)
Background in risk modeling, financial analytics, or health‑related data (preferred)

Benefits

Medical, dental, vision, life insurance, disability insurance
Paid Time Off (PTO)
Leave of absences, such as parental and military leave
401(k) plan with company match (up to 4%)
Company-funded pension plan
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.

Applicant Tracking System Keywords

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

Hard Skills & Tools

predictive modelingfeature pipelinesmodel performance evaluationproduction-level reliabilityPythonSQLmachine learning frameworksAPI developmentweb interfacesstatistical analysis

Soft Skills

collaborationcommunicationanalytical thinkingactionable insightscross-functional teamworkadaptabilityproblem-solvingstakeholder engagementfast-paced environmentinterpersonal skills

Certifications

Master’s degreePhD in quantitative field