Lead Data Scientist - E-Commerce Recommendation (Multiple Positions)

TikTok; Seattle (WA); On-site; USD 208,000 - 336,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

Paid parental leave

Paid holidays

Job summary

TikTok is hiring a Lead Data Scientist for an E-Commerce Recommendation team in Seattle. You will lead data-driven strategies, build predictive models, and provide actionable insights to improve product recommendations at scale.

The role requires advanced analytics expertise, experience with SQL/Hadoop, and proficiency in forecasting and experiment analysis, with opportunities to influence key business decisions across the platform.

Qualifications

• Master’s degree or foreign equivalent in Data Science, Analytics, CS, Engineering, Statistics, Mathematics, or related field with 3 years’ experience; OR Bachelor’s degree and 5 years’ progressive experience.
• Experience in data gathering, processing, and analysis to influence business decisions.
• Proficiency in forecasting, experimentation, and communication of insights via visualizations.

Skills

Data science

Forecasting

Experiment analysis

SQL

Hadoop

ML models

Education

Master's degree or foreign equivalent

Bachelor's degree or foreign equivalent

Tools

Tableau

Excel

Job description

Lead Data Scientist - E-Commerce Recommendation (Multiple Positions)

Location:

Seattle

Employment Type:

Regular

Job Code:

A196644A

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Responsibilities

About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible.Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.When we create and grow together, the possibilities are limitless.Join us.About the TeamOur 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!

Qualifications

QualificationsMust have a Master’s degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Data Science, Business Analytics, Computer Science, Engineering (any), Statistics, Mathematics, or a related quantitative 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:Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations that support and influence key business decisions;Conducting forecasting and experiment analysis, and communicating quantitative insights through clear visualizations using Tableau or Excel;Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, and causal inference experiments;Cleaning, processing, and analyzing large-scale datasets using relational databases or Hadoop systems; andBuilding and validating machine learning models including clustering, classification, and other predictive models to solve business problems.Travel Requirement: International travel required up to 20%.Type: Full time, 40 hours/weekLocation: Bellevue, WASalary Range: $208050 - $335920 per year TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request#IND-DNI

Job Information

The base salary range for this position in the selected city is $208050 - $335920 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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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