Talantix.io
WHOOP•05.03.26
AI SCORE 8.5

Business Data Scientist II - Remote Position at WHOOP

$125K–$175K/year
RemoteHealthTechRelocation
Python•SQL•Machine Learning•Statistical Modeling•A/B Testing•Data Analysis

About the Role

We are seeking a Business Data Scientist II to join our Lifecycle Marketing team at WHOOP. This remote position focuses on building statistical and machine learning models that drive member acquisition, engagement, retention, and upselling. As a Business Data Scientist II remote, you will tackle ambiguous marketing problems and design MVP models to quickly test and refine them, contributing to WHOOP's mission of unlocking human performance and healthspan.

What You'll Do

  • Identify and scope opportunities where data science can drive member acquisition, engagement, retention, and upsell.
  • Build, validate, and iterate on statistical and machine learning models to solve core marketing problems.
  • Drive novel model ideation and development, rapidly prototyping MVPs locally for testing and iteration.
  • Collaborate with Software Engineers and ML Ops to deploy robust inference models into production.
  • Design, implement, and evaluate experiments that inform product and business strategy.
  • Stay updated with emerging technologies in AI, machine learning, and experimentation.
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

  • 2–4 years of experience in a data science role, ideally in consumer tech, e-commerce, or subscription-based businesses.
  • Strong statistical modeling and machine learning background.
  • Proficiency in Python and SQL for data analysis and modeling.
  • Experience with experimentation frameworks such as A/B testing and multi-armed bandits.
  • Strong business acumen and ability to translate business problems into data science approaches.
  • Excellent communication and collaboration skills.

Nice to Have

  • Experience in a startup environment.
  • Familiarity with cloud platforms (AWS, GCP).
  • Knowledge of data visualization tools.

What We Offer

  • Competitive base salary ranging from $125,000 to $175,000.
  • Generous equity package that aligns employees with the company's long-term success.
  • Comprehensive benefits package including health, wellness, and retirement plans.
  • Opportunities for professional growth and development.
  • A diverse and inclusive work environment.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Business Data Scientist II remote role at WHOOP offers a competitive salary and the opportunity to work on impactful marketing strategies in a dynamic environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and SQL, with hands-on experience in building machine learning models using libraries like scikit-learn and TensorFlow to solve real-world marketing challenges.

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Self-motivated and comfortable working in a fully remote environment, demonstrating strong time management skills and the ability to thrive in asynchronous communication settings.

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Analytical mindset with a strong foundation in statistical modeling and A/B testing methodologies, capable of translating complex data insights into actionable marketing strategies.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→SQL for Data Sciencecourse
→Statistical Modeling in Pythonarticle

Career Path

Business Data Scientist II(Now)→Senior Data Scientist(2-4 years)→Lead Data Scientist or Data Science Manager(4-6 years)

Market Overview

Market Size 2024
$15.5B
Annual Growth
12.3%
AI Adoption
75%
Investment
+150%
Labour Demand
+18%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
TensorFlowData Visualization (e.g., Tableau)Natural Language Processing (NLP)
Declining
RSAS

Domain Trends

Rise of Automated Machine Learning (AutoML)
The adoption of AutoML tools is increasing, with 40% of organizations expected to implement these solutions by 2025, streamlining the data science workflow.
Increased Focus on Ethical AI
Around 60% of companies are prioritizing ethical AI practices, leading to a surge in demand for data scientists who can address bias and fairness in algorithms.
Integration of Data Science in Business Strategy
70% of businesses are integrating data science into their core strategies, emphasizing the need for data scientists who can translate data insights into business value.

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