Responsibilities

• Develop comprehensive analytics framework and product metrics to proactively track, attribute, and identify opportunities to improve the business and user product.
• Identify key trends, patterns, and opportunities to drive e-commerce business growth and optimize business and user product offerings.
• Monitor key performance indicators and develop metrics framework to help measure XFN efforts in a quantitative way.
• Conduct A/B testing and experimentation and provide actionable insights to stakeholders for improving or iterating product features.
• Partner closely with key stakeholders to optimize overall product adoption and performance-driven growth.

• Design and implement reporting dashboards and the associated data pipeline to deliver insights and improve the workflows of internal teams.

   

Qualifications

Must have a Master's degree in Computer Science, Engineering (any), Information Systems, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Business Administration, Management, Marketing, Finance, or a related field, and 3 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Systems, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Business Administration, Management, Marketing, Finance, or a related 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:

• Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and/or 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.

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Type: Full time, 40 hours/week

Location: Bellevue, WA

Salary Range: $183581 - $312867 per year

To apply, and for information on benefits offered, visit: https://jobs.bytedance.com/en/{rel="nofollow"} and type Job ID A38027 in search bar. Contact lpresumes@bytedance.com if you have difficulty applying through our website.