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Published 2023-10-06

E-commerce Data Scientist

Type of job: Remote
Country: United States
City: San Francisco
Company: Stingray Direct

Description of the offer

THE ROLE: E-commerce Data Scientist

Stingray Direct, a dynamic and fast-growing e-commerce company, is seeking a skilled Ecommerce Data Scientist to join our team. We aim to optimize the customer experience and drive business growth by leveraging data and advanced analytics. A successful candidate will have extensive experience in analyzing key ecommerce and subscription metrics, conducting A/B tests, data modeling, and machine learning. Proficiency with Excel, SQL, Python, and Google Analytics is a must.



  • Design, manage, and interpret comprehensive analyses related to the customer lifecycle, focusing on key subscription and e-commerce metrics.
  • Conduct A/B testing to optimize customer lifetime value (CLV) and reduce churn rate.
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve upon multiple real-time decision systems.
  • Utilize data modeling and machine learning to optimize marketing campaigns, improve customer experience, and increase operational efficiency.
  • Analyze large data sets using advanced Excel, SQL, and Python, identifying trends and informing business strategies.
  • Utilize Google Analytics to understand website traffic patterns, user behavior, and campaign performance.
  • Collaborate with cross-functional teams to understand their objectives and deliver data-driven solutions and recommendations.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Present data-driven insights to stakeholders in a clear, understandable, and actionable manner.
  • Must be located in California


  • Bachelor’s degree in Mathematics, Statistics, or a related field.
  • 3-5 years of experience in a similar role, preferably within the e-commerce sector.
  • Proven expertise in analyzing key e-commerce and subscription metrics, such as churn rate, CLV, average order value (AOV), customer acquisition cost (CAC), retention rate, subscription renewal rate, and purchase frequency.
  • Expert Excel skills
  • 3+ years experience with SQL, with a preference for those experienced in BigQuery.
  • 3+ years of experience using Python and/or R
  • 3+ years of experience with machine learning algorithms and predictive modeling.
  • Proven experience in analyzing data from Google Analytics.
  • Knowledge of Big Data frameworks and visualization tools is a plus.
  • Strong understanding of A/B testing principles and methodologies.
  • Proven ability to turn complex data into actionable business strategies.
  • Excellent communication skills with the ability to present complex data in a clear and concise manner.
  • Self-starter with strong problem-solving abilities and attention to detail.
  • Prior experience with PowerBI strongly preferred



What do you get for being so cool and joining our team?

  • Competitive Salary $110,000 – $130,000 (based on experience)
  • Fully remote working position, but must be located in California
  • Paid time off (PTO)
  • Paid annual company holidays
  • Your Birthday is a paid vacation day each year. Take the day to celebrate your awesomeness!
  • 100% Company paid Medical, Dental, and Vision Insurance
  • 100% Company paid Life Insurance and Short-Term Disability Coverage
  • Paid Maternity / Paternity leave
  • Employer matching 401K participation
  • We match your charitable contributions up to $2,500/yr
  • Work from home (WFH) stipend of $100/month
  • Free employee product samples and discounts
  • Fun company social gatherings

How to apply?

Click on the button to get the company email or employment application form.
Apply on home page

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