Responsibilities

Perform analysis including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Research applied data science questions in the ads system to improve prediction accuracy, develop data-driven to-to-market strategies, and drive advertiser value. Utilize quantitative analysis and data mining to determine how users interact with ads products, analyzing current performance, and identifying opportunities to improve the system. Develop data structures and metrics, advocating for changes for product development, and mine large amounts of data and extract useful product insights. Define KPIs and develop analytic framework to evaluate on-platform assets engagement and drive continuous UI/UX iterations via A/B testing. Define core metrics, build essential data tracking dashboard, and identify opportunities from the company's database and convert the insights into real changes and new features. Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Mentor junior- and mid-level data scientists.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Applied Data Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience; or a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Applied Data Analytics, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 3 years of experience in each of the following: Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support and influence business decisions; Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification; Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques; Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, or business requirements; and Developing and maintaining tables, views, indexes, datasets, or data pipelines to extract, clean, transform, load and maintain data across multiple databases. Travel Requirement: International travel required up to 20%. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $374400 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 $275850 - $374400 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.