Responsibilities

Provide insights to influence product development using advanced statistics, machine learning (ML), 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 our products that serve billions of people and millions of businesses. 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), Data Science, Analytics (any), Operations Research, 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), Operations Research, 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 languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing; 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; 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 and R. 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.