Data science serp_jobs.h1.location_city

At  Sunlighten , we're not just about infrared saunas, we’re on a mission to improve lives through innovative health and wellness solutions. As a global leader in infrared sauna therapy with a 25-year legacy of innovation, we’ve grown from our Kansas City roots to establish a global footprint. With the wellness market projected to reach $7 trillion by 2026, we’re proud to lead the way in light science and longevity. We’re rapidly expanding our BI, AI, and Automation team and are on the hunt for a curious, proactive, and methodical Data Scientist- Forecasting, Experimentation & Scoring to take us to the next level. Based in the Kansas City metro area, we offer the best of both worlds : the growth of a global company with the close-knit culture of a local business.

Sunlighten's Data Scientist will drive measurable impact across Sales, Marketing, CX, and Operations through analytics and ML. You’ll lead forecasting, lead / opportunity scoring, what‑if analysis, and rigorous experimentation so leaders can make confident decisions.

Duties / Responsibilities :

• Partner with stakeholders (e.g., CSO, Marketing) to shape analytical questions into testable plans; frame success metrics and hypotheses; deliver what‑if analysis, statistical testing, and clear recommendations.
• Design & run experiments (e.g., changing how we serve chat leads) : define treatment / control, power, guardrails; implement tracking (Salesforce / Service Cloud / Marketing Cloud / GA4), and build Power BI readouts.
• Own ML for BI priorities : improve Lead Score & Opp Score; demand planning; end‑to‑end forecasting; support website / product‑specific models.
• Define business and model metrics; build golden labels / holdouts; quantify ROI.
• Feature engineering from Salesforce / NetSuite / Five9 / Marketing Cloud / Shopify / telemetry; partner with DE to productionize in Fabric.
• Implement offline / online evaluation; drift monitoring; experiment tracking; reproducible notebooks; monthly goal snapshotting.
• Wear multiple hats :  when needed, take an analysis / ML project end‑to‑end and collaborate with devs to surface results in products or lightweight UIs.
• Other duties as discussed and assigned.
• This position is open only to candidates authorized to work in the U.S. without the need for current or future visa sponsorship. Additionally, this position is based in the Kansas City area, and we are only considering candidates who reside locally.
• 2–5 years of enterprise experience in applied data science / analytics
• 2–5 years of experience developing and shipping predictive models, and delivering stakeholder-facing analyses.
• Expertise in Python (pandas, scikit‑learn / lightgbm); SQL; forecasting (Prophet / ARIMA / XGB‑based); causal / AB testing (t‑tests, proportion tests, chi‑square), power analysis.
• Expertise with Power BI for experiment / forecast dashboards; Microsoft Fabric for data / feature pipelines; CI / CD with Git.
• Excellent communication skills : concise narratives, assumptions, and trade‑offs; clear documentation.
• Bachelor's or Masters Degree in Data Science / Computer Science / Stats / OR or equivalent experience portfolio / GitHub preferred
• Opportunity to work in a collaborative and innovative environment.
• Career growth opportunities in a market leading and rapidly growing wellness technology company.
• Competitive Paid Time Off Policy + Paid Holidays + Floating Holidays.
• Fully Equipped Fitness Center On-Site.
• Lunch Program featuring a James-Beard Award Winning Chef.
• Health (HSA & FSA Options), Dental, and Vision Insurance.
• 401(k) with company contributions.
• Profit Sharing.
• Life and Short-Term Disability Insurance.
• Professional Development and Tuition Reimbursement.
• Associate Discounts on Saunas, Spa Products and Day Spa Services.

Sunlighten provides equal employment opportunity. Discrimination of any type will not be tolerated. Sunlighten is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.