Data Scientist

Sunlighten; Leawood (KS); On-site; USD 80,000 - 100,000; Full time

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

1 month ago Be among the first 25 applicants

Please Note: 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.

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.

Requirements

• 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.

Benefits

• 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

Industries

IT Services and IT Consulting

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.