E-commerce Data Scientist

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.

KEY E-COMMERCE DATA SCIENTIST RESPONSIBILITIES:

• 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

E-COMMERCE DATA SCIENTIST CAPABILITIES + SKILLS REQUIRED

• 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