Full Job Description
Responsibilities
- Analyze large, complex datasets to support ads product quality, and drive monetization and sustainable revenue growth for the platform. - Apply advanced statistical methods, including multivariate regression, stochastic modeling, sampling techniques, and variance estimation, to solve non-routine ads product analysis problems. - Build and prototype analytics pipelines iteratively to automate feature engineering, model training, and recurring analytical deliverables. - Create scalable analytical models to quantify drivers of advertiser ROI, auction dynamics, and conversion performance across segments and placements. - Present data insights and strategy recommendations to internal, cross-functional stakeholders using data visualization techniques. - Mentor junior-level team members
Qualifications
Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (Any), Finance, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (Any), Finance, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 1 year of experience in each of the following: - Statistical data analysis, including linear models, multivariate analysis, stochastic models, and sampling methods; - Causal inference with experimentation; and leveraging observational data, including contextual bandit or matching algorithms, to develop business insights; - Architecting and building data models that integrate disparate data sources, using dbt, Apache, or Snowflake; - Constructing advanced queries using SQL and database table design, including writing structured and efficient queries on large data sets; and - Conducting exploratory and predictive analysis using Python, R, or Scala. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $179200 - $277200 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $277200 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
