Lead Data Scientist (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
Develop long-range business forecast models and run scenario analysis to understand the implications of a variety of business decisions on key metrics and share the insights with crossfunctional team to influence strategic decisions.
Develop analytic framework in partnership with internal teams to quantify business impact, diagnose issues, and to bring insights using internal and external data.
Define core metrics, build essential data tracking dashboard, and identify opportunities from our database and convert the insights into real changes/new features.
Translate complex data insights into actionable business recommendations, fostering strong collaborations with cross-functional teams and stakeholders at all organizational levels.
Conduct experimentations to analyze user behavior and optimize for the best outcome regarding core metrics.
Manage multiple data science projects from ideation to execution, ensuring timely delivery within budget constraints and alignment with business objectives.
Maintain an advanced understanding of data science methodologies and tools, continually integrating cutting-edge technologies and practices to enhance team capabilities and project outcomes.
Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.

Qualifications

Qualifications
Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 3 years of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 6 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 3 years of experience in each of the following:
Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tools Tableau and Excel;
Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, and causal inference experiments;
Analyzing and visualizing complex data using Python and Tableau to gain insights for product strategies;
Conducting exploratory and predictive analysis using Python, R, and Scala programming languages;
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.

TRAVEL REQUIREMENT: Domestic travel up to 20% required.

Type: Full time, 40 hours/week
Location: Bellevue, WA
Salary Range: $190950 - $375516 per year

To Apply, click the apply button below. Contact lpresumes@bytedance.com if you have difficulty submitting resume through the website.

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