Responsibilities

Provide insights to influence product development using advanced statistics, machine learning, and programming. Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference. Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities. Build classification and clustering machine learning models to understand data characteristics. Visualize and synthesize analytics and statistical approaches into easy to consume storylines for the team to provide indicated actions for executive audiences. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed. Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for the company's products. Interact cross-functionally, making business recommendations with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Mentor junior and intern Data Scientists.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business Analytics, 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, Business 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 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Using SQL or Spark to query, explore, and manipulate data from Apache Hive and relational database management system including MySQL, Microsoft SQL Server, or PostgreSQL; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and Building, tuning, and validating statistical models for regression and classification problems in Python or R. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $196914 - $277970 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 $196914 - $277970 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.