Data Science Manager-E-Commerce Product Analytics (Multiple Positions)

Responsibilities

About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

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.
- 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.
- Audit quality of launch experiment results and guarantee correct measurement of product or technical changes' impact.
- Keep track of core metrics and attribute metrics changes to root causes.
- Drive the strategic planning and execution of long-term business plans through in-depth business analysis, industry studies, and the study of market trends.
- 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.
- Understand problem space, product, and related business processes and build a vision on how to improve such processes.
- Collaborate with cross-functional teams and influence leadership to continuously make impact, drive monetization strategy, and business evolvement.
- Visualize and synthesize analytics and statistical approaches into easy-to-consume storylines for the team to provide indicated actions for executive audiences.
- 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;
- 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;
- Building dashboards, including tables and graphs, to enable the monitoring of business performance metrics and conducting root-cause-analysis of metric movements; and
- Analyzing and visualizing complex data using Python and Tableau to gain insights for product strategies.

Domestic and international travel required up to 15%.

Type: Full time, 40 ho