Data Scientist (Multiple Positions)

Responsibilities

Responsible for data analysis of TikTok e-commerce's US logistics operations. Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference. Provide ongoing reports to maintain and improve operation of performance index, and to assist senior management to monitor operation performance. 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 products and to improve roll-out product 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 intern Data Scientists.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology Management, Information Systems, Database Technologies, Analytics, Statistics, Mathematics, or a related field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology Management, Information Systems, Database Technologies, Analytics, Statistics, Mathematics, or a related field, and 3 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing; Developing graphical and visual representations of data using Excel or Tableau; Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server; Building, tuning, and validating statistical models for regression and classification problems in Python or R; and Designing and modeling data warehouse to support data analytics, reporting, and data applications. Travel Requirement: Domestic travel required up to 10%. Employer: TT Commerce & Global Services LLC Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $129960 - $250000 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 $129960 - $250000 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.