Fitbod
San Francisco
11-50 employees
The better fitness solution that utilizes data science to help you and your body get better with every workout.
Data Scientist
Data Scientist
This job is no longer open
The future of fitness lies in data, and we’re looking for a Data Scientist to help usher in the next phase of growth for Fitbod. Data analysis is a core competency at Fitbod, and you will work with a leadership team with broad experience in Data Science and a proven record of turning health and activity data into concrete fitness guidance.
Responsibilities
- Measuring and monitoring core business metrics such as active users, customer retention, subscriber acquisition costs, and customer lifetime value.
- Identifying North Star metrics for measuring the impact of product, marketing and business features/decisions, using data insights to propose next steps on the company roadmap
- Doing deep data dives into workout histories in order to derive insights into user behavior. Leveraging these insights to identify opportunities to optimize algorithm recommendations
- Influencing other teams (Product, Engineering, Customer Success, Marketing, etc) through presentations of data-centric reports, communicating the current and projected state of the business
- Analyzing results of A/B tests, communicate hypothesis testing’s conclusions to non-technical teams
- Building and maintaining dashboards that effectively communicate data insights
- Working primarily on GCP, with a data stack that includes: Airflow, Big Query, Python and Tableau
- Automating analyses, model predictions/forecasts, and dashboards via our ETL framework using Python and SQL
Minimum Qualifications
- Fluency in Python, including libraries such as Pandas and Numpy
- Fluency in SQL
- Cloud Computing: basic understanding of cloud computing platforms (AWS, GCP), including the ability to ssh into a vm and develop remotely.
- Solid understanding of statistical inference (e.g. hypothesis testing, regressions), experimental design, and analysis.
- Compose reports that apply statistical and econometric models on large datasets.
- 1+ years of experience with Python and/or PySpark conducting Supervised Learning, Regression Analysis and Time Series Analysis
- 1+ years of experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
- B.S or higher in Statistics, Computer Science, Business Analytics or related field
Preferred Qualifications
- Experience productionizing ML Models
- Experience with Spark and PySpark
- Experience with Airflow
- Experience with Flask
- Given that you will work across a variety of domains in this role, the ideal hire will have some experience in product analytics, marketing, and operations analytics.
- Fitness-minded, practicing strength-trainer, or possess knowledge about strength-training best practices.
Try our app for free! https://www.fitbod.me/
Positions are remote-only, with the option to work from our SF office when it is safe to do so.
We are looking for full-time teammates! Positions include a full benefits package including: Full Medical, Vision, Dental, Life & Disability Insurance, flexible time-off, Slavic 401(k) with a 4% company match, company-wide days off for wellness & social lunches (via Zoom of course), a stipend for the gym/fitness, and all employees are able to expense up to $2000USD/year for continuing their development while employed with Fitbod!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or Fitbod Applicant and Worker Privacy Notice.
By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
APPLY FOR THIS JOB
By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
This job is no longer open