Data Scientist

Overland Park, Kansas, United States

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Sunlighten

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Sunlighten is looking for a Data Scientist to join our growing IT department. This person will be instrumental in using statistical analysis and predictive modeling techniques to ensure our business analytics team functions as a top team within Sunlighten. This Data Scientist will use and apply their knowledge of different data science techniques to assist in defining and implementing processes and tools that will enable Sunlighten to grow and continue to be successful.


Sunlighten has the lofty yet simple promise to help people feel better and do more of what they love. It’s what drives us every day. For over 20 years, Sunlighten has been the leader in infrared saunas, which have been shown through clinical trials to help people feel better and achieve their health and wellness goals. Because the health and wellness industry is on pace to generate over 4 trillion dollars globally this year, Sunlighten continues to grow rapidly. We are expanding in new markets globally and our teams are constantly improving and developing our product line.


Duties/Responsibilities:

  • Use statistical analysis and predictive modeling techniques as a member of a business analytics team
  • Work with, and present measurements, results, and reports to departmental teams company-wide
  • Define and implement processes and tools to enable, model, and deploy data science
  • Apply data science techniques including machine learning, statistical modeling, data mining, and AI using state-of-the-art methods
  • Extend datasets using third-party sources
  • Enhance data collection procedures to include information relevant for further developing analytics systems
  • Process, cleanse, and verify the integrity of data used for analysis
  • Create automated anomaly detection systems and track the performance of those systems
  • Responsible for Data Warehousing and ETL tasks, as needed
  • Responsible for predictive analytics and forecasting of key performance indicators for each department, while identifying opportunities that can optimize business performance and improve customer experiences

Requirements

  • At least 2 years of experience applying data science techniques in a business, or similar organizational context. The experience should include:
    • Statistical programming and applied programming experience
    • Experience with data mining, quantitative analysis, or statistical modeling including predictive performance and algorithm optimization


Location and Education Requirements:

  • Must be located in or willing to relocate to the Overland Park, KS area to work from our HQ daily
  • Masters in Statistics, Data Science, Computer Science, Machine Learning, Operations Research, or related field

Benefits

  • Medical, Dental and Vision Insurance
  • Life and Short-Term Disability Insurance
  • Four Flexible Spending Account Options
  • 401(k), with Company Match
  • Profit Sharing
  • Paid Time Off
  • Professional Development and Tuition Reimbursement
  • Private, Fully Equipped Fitness Center on site
  • Associate Discounts on Saunas, Day Spa Services, and Related Products
  • Lunch Program (featuring James Beard award-winning Chef that cooks lunch four times a week)


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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Analytics Computer Science Data Mining Data Warehousing ETL Machine Learning Predictive modeling Research Statistical modeling Statistics

Perks/benefits: 401(k) matching Career development Fitness / gym Flexible spending account Flex vacation Health care Insurance Wellness

Region: North America
Country: United States
Job stats:  45  16  0
Category: Data Science Jobs

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