Senior Data Scientist

This role is onsite 5 days a week in Fremont, CA

About the role

We're looking for a Sr. Data Scientist with a passion for working with merchandising, pricing/promotion finance/accounting, and user behavioral data to help define strategy, guide operations, and KPIs and impact how we build experiences and products.

Responsibilities:

• Build dashboards, self-service tools including LLM agents, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making
• Work closely with the pricing team to test and measure different pricing/promotion strategies, identify issues, trends, user behavior changes.
• Conduct end-to-end analyses, including data gathering from large and complex data sets, processing, and analysis employing advanced statistical and ML methods, with ongoing deliverables to improve user experience
• Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating metrics and results to stakeholders.
• Partner with Data Engineering to craft our data infrastructure investments in support of BI needs and ensure the proper tracking and quality of the data

Qualifications

• MS in Math, Statistics, or another closely-related quantitative field
• 4 years of Data Analysis experience in preferably e-commerce or customer-facing business
• Expert in data analysis, visualization, and communication, with prior full-time work experience, strongly preferred
• Experience creating dashboards/visualizations using, e.g., Tableau (or similar)
• Expertise in SQL, and comfort with Python
• Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision. Cross-functional and can wear different hats at the same time
• Be a self-starter, detail-oriented, eager to learn, and motivated by a passion for developing the best possible solutions to problems
• Strong communication skills, and ability to work with multiple stakeholders.

Preferred Qualifications

• Experience managing data pipelines
• Experience with Retail/Ecommerce; especially merchandising/operation analytics
• Experience with Finance/Accounting Analytics
• Experience with building systematic solutions

Benefits

• Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages
• 401k, 4% company match
• Equity and Bonus
• Vacation, sick and holiday time off
• Monthly mobile stipend
• Monthly Weee! Points credits

Compensation Range

• The US base salary range for this full-time position is $115,000 - $165,000
• This role may be eligible to discretionary bonus, incentives and benefits
• Our salary ranges are determined by role, level, and location

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com.

For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers