Data Scientist – Forecasting, Scoring & Experimentation
Sunlighten
Leawood (KS)
On-site
USD 80,000 - 100,000
Full time
14 days+
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Benefits offered by this job
Competitive Paid Time Off Policy
Fully Equipped Fitness Center On‑Site
Health, Dental, and Vision Insurance
401(k) with company contributions
Professional Development and Tuition Reimbursement
Job summary
A leading wellness technology company in Kansas City seeks a Data Scientist to innovate analytics across various departments. The role focuses on forecasting, experimentation, and scoring using ML techniques. Candidates should have 2-5 years of data science experience, expertise in Python and SQL, and a strong understanding of statistical methods. The position offers a collaborative environment, career growth, and comprehensive benefits including health insurance and a fitness center onsite.
Qualifications
2-5 years of enterprise experience in applied data science/analytics.
Expertise in developing and shipping predictive models.
Strong understanding of statistical testing and power analysis.
Responsibilities
Partner with stakeholders to shape analytical questions into testable plans.
Design and run experiments, implementing tracking and building reports.
Own ML for BI priorities, improving lead and opportunity scoring.
Skills
Python (pandas, scikit‑learn/lightgbm)
SQL
Forecasting (Prophet/ARIMA/XGB‑based)
Causal/AB testing
Power BI
Excellent communication skills
Education
Bachelor's or Masters Degree in Data Science/Computer Science/Stats
Tools
Microsoft Fabric
Git
Job description
A leading wellness technology company in Kansas City seeks a Data Scientist to innovate analytics across various departments. The role focuses on forecasting, experimentation, and scoring using ML techniques. Candidates should have 2-5 years of data science experience, expertise in Python and SQL, and a strong understanding of statistical methods. The position offers a collaborative environment, career growth, and comprehensive benefits including health insurance and a fitness center onsite.