Job Information
BYTEDANCE INC. Data Science Manager-E-Commerce Product Analytics (Multiple Positions) in Bellevue, Washington
Responsibilities
- Lead and manage a team of Data Scientists in building machine learning models to optimize marketing campaign return on investment (ROI), conducting product analysis, and performing a/b testing experimentation design and analysis of our consumer application product experience.
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``` - Own large-scale quantitative analysis projects from start to finish, including developing metrics, creating analytical frameworks, and distilling complex results into clear and concise insights to facilitate intricate decision-making.
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``` - Audit quality of launch experiment results and guarantee correct measurement of product or technical changes' impact.
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``` - Keep track of core metrics and attribute metrics changes to root causes.
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``` - Drive the strategic planning and execution of long-term business plans through in-depth business analysis, industry studies, and the study of market trends.
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``` - Lead and collaborate with cross-functional teams through communication of data supported insights to make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
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``` - Understand problem space, product, and related business processes and build a vision on how to improve such processes.
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``` - Collaborate with cross-functional teams and influence leadership to continuously make impact, drive monetization strategy, and business evolvement.
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``` - Visualize and synthesize analytics and statistical approaches into easy-to-consume storylines for the team to provide indicated actions for executive audiences.
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``` - Grow, guide, and inspire a strong Data Science team, with a high-impact and ambitious data roadmap.
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 5 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 7 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.
Of the required experience, must have 5 years of experience in leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support and influence business decisions.
Of the required experience, must have 2 years of experience in each of the following:
- Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, and causal inference experiments;
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``` - Designing and analyzing A/B testing and providing business and supporting product launch decisions based on data;
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;