Senior Data Scientist, Analytics (Multiple Positions)

ne 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 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 cross-functional 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.
Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough.
Conduct experimentations to analyze user behavior and optimize for the best outcome regarding core metrics.
Improve data foundations and excel in product logic thinking using data-driven analysis and brings distinctive problem-solving skills and impeccable business judgment.
Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
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 or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Finance Analytics, Statistics, Mathematics, or a related field, and 2 years of related work and/or research experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science,
Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Finance Analytics, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work and/or research experience.

Of the required experience, must have 2 years of experience in each of the following:
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
Building, tuning, and validating statistical models for regression and classification problems in Python or R;
Conducting exploratory and predictive analysis using Python, R, or Scala programming languages;
Cleaning and processing data using relational databases;
Developing machine learning models in Python; and
Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, or business requirements.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $275850 - $329334 per year

To Apply, click the apply button below. Contact [email protected] if you have difficulty submitting resume through the website.

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

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $275850 - $329334 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.