Senior Data Scientist, Content E-commerce

Responsibilities

About the team:
Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

Content E-commerce is a global team responsible for building up the content ecosystem for E-commerce. We provide more highly qualified E-commerce content to customers to help them find good products at affordable prices. We attract more creators to land on the E-commerce platform, create more E-commerce related content and get benefits from their content. Also, we help merchants to find suitable creators to sell their products. Our mission is to build up an ecosystem which both customers and creators and merchants will benefit from.

Responsibilities:
- Build out reporting to track product performance using data visualization tools
- Bring strong desire to learn in a fast paced environment while collaborating with business stakeholders and technical leads
- Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success
- Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they're performing at their goals

Qualifications

Minimum Qualifications:
- Bachelor's degree or above in computer science, statistics, math, internet security or other relevant majors
- 5 years of work experience in data analytics/science or other relevant fields
- Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python

Preferred Qualifications:
- Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies. Bonus given to proficiency in data mining skills e.g. modern machine applications
- Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $176356 - $329334 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: