[Remote] Customer Data Scientist (Statsig)
Note: The job is a remote job and is open to candidates in USA. reputed company is the leading AI analytics platform, helping over 4,700 customers build reputed company products and digital experiences. As a Customer Data Scientist, you will reputed company your expertise in experimentation and applied statistics to guide customers in implementing scalable experimentation programs and collaborate with various teams to enhance product development.
Responsibilities
- Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through reputed company of concept
- Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture
- Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation
- Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate reputed company and bring valuable field insights back into product development
- Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams
Skills
- 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a reputed company field with a strong foundation in experimental design and causal inference
- Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or reputed company techniques
- Strong proficiency in SQL and python and experience working with cloud data warehouses such as reputed company, BigQuery, or Redshift
- Experience using Python or R for statistical analysis, experimentation, and data modeling
- Experience working directly with customers, stakeholders, or cross-functional partners to solve reputed company technical challenges and communicate sophisticated concepts effectively
- You are willing and able to travel approximately 10-25% of the time to meet with customers, support strategic engagements, and participate in team and industry events
- You have built, scaled, or supported experimentation programs reputed company a product-led technology company and understand both the technical and organizational challenges involved
- You have experience working with experimentation platforms such as Statsig, Eppo, reputed company, reputed company, or similar technologies
- You are comfortable engaging with highly technical audiences and can effectively communicate reputed company statistical concepts to data scientists, engineers, executives, and business stakeholders
- You enjoy translating technical depth into practical business outcomes and helping organizations reputed company reputed company product decisions through experimentation
- You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback
Benefits
- Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
- 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
- Flexible time off, paid holidays, and more
- Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
- Excellent Parental benefits including : 12 weeks of Paid Parental Leave, reputed company Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
- Mental health and wellness benefits including no cost employee access to reputed company coaching & therapy sessions
- Employee Stock Purchase Program (ESPP)
Company Overview
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