Enable job alerts via email!

Data Scientist - AIGC Application

TikTok

San Jose (CA)

On-site

USD 114,000 - 200,000

Full time

7 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a forward-thinking company dedicated to inspiring creativity and joy through innovative mobile video solutions. As a key player in the Data Cycling Center Team, you will lead advanced project management, ensuring seamless execution across diverse teams. Your analytical skills will shine as you build insightful dashboards and reports that drive impactful decisions. Collaborate with talented professionals to explore new opportunities and foster a culture of creativity and innovation. This is your chance to make a meaningful impact in a rapidly growing tech environment, where challenges are embraced and learning is constant.

Benefits

Medical, Dental, and Vision Insurance
401(k) Savings Plan with Company Match
Paid Parental Leave
Short-term and Long-term Disability Coverage
Life Insurance
Wellbeing Benefits
10 Paid Holidays
10 Paid Sick Days
17 Days of Paid Personal Time

Qualifications

  • 2-3 years of experience with SQL and dashboard building.
  • Intermediate-to-advanced skills in Python programming.
  • Strong statistical background for business analysis.

Responsibilities

  • Direct and coordinate projects across interdisciplinary teams.
  • Build dashboards and deliver analytical reports.
  • Document experiment results and address stakeholder inquiries.

Skills

SQL
Python
Statistical Analysis
Project Management
Interpersonal Skills

Education

Bachelor's/Master's degree in Computer Science

Tools

Dashboarding Tools

Job description

Responsibilities
About the team
TikTok's Data Cycling Center Team focuses on building content, understanding, and data-driven solutions for both internal stakeholders and tools for external users. We focus on both delivering human understanding and direct content understanding helping solve large impact problems from that understanding.

Responsibilities
- Advanced Project Management: Direct and coordinate projects, orchestrating efforts across a large, interdisciplinary team of policy, product managers, and data labelers, ensuring timely and efficient execution of tasks.
- Clarification and Simplification of Product Requirements: Diligently comprehend product needs, drive clear communication, and decompose technical tasks into more manageable units, ensuring a smooth execution path.
- Provide Clear and Strong Data Insights: Responsible for building dashboards and delivering analytical reports to identify improvement opportunities across Policy, Modeling, and Product Management teams. Be the owner of action items to drive concrete impact from analytical results.
- Collaborative Experimentation and Documentation: Work in tandem with various teams to formulate meticulous experiment plans, documenting results with utmost precision, and patiently addressing inquiries from both technical and non-technical stakeholders.

Qualifications
Minimum Qualifications
-Bachelor's/Master's degree in Computer Science, Computer Engineering, or other relevant majors.
-2-3 years of experience working with SQL, Dashboarding, and Analytical Expertise: Demonstrates intermediate-to-advanced proficiency in SQL and dashboard building, ensuring structured, efficient, and scalable data management, and leveraging data to inform strategic decision-making.
-2-3 years of experience working with Python: Possesses intermediate-to-advanced skills in Python programming, showcasing the ability to develop and implement robust data science solutions.
- Statistical Knowledge: Demonstrates strong statistical background and can leverage statistical knowledge in solving business analytical requirements. A deep understanding of concepts includes but is not limited to: Hypothesis Testing, Confidence Interval, Statistical Significance, Margin of Error, A/B testing techniques, and measurement.
- Strategic Interpersonal Skills: Displays formidable interpersonal skills, embodying an ability to seize new opportunities, be able to set product directions strategically, ignite innovative ideas, and marshal support to bring products from conceptualization to realization.
- Knowledge of Machine Learning: Demonstrated fundamental knowledge of the end-of-end machine learning model development process. Understand how data plays a crucial role in terms of model quality and model iteration.

Preferred Qualifications
-Creative thinking and a passion for innovation.
-Knowledge of the AIGC modeling process: Demonstrate a basic understanding of transformer architecture and MLLM models (T2I and T2V).
-Understand the data curation process and model evaluation criteria when developing AIGC models.

About TikTok
TikTok 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 Us
Inspiring 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.

Diversity & Inclusion
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 Accommodation
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


Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $114000 - $200000 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.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Social Networking Platforms

Referrals increase your chances of interviewing at TikTok by 2x

Sign in to set job alerts for “Data Scientist” roles.
Data Scientist (L5) - Product Promotion & Algorithm Performance

Menlo Park, CA $46.63-$134,000.00 2 weeks ago

Fremont, CA $145,000.00-$204,000.00 2 weeks ago

Sunnyvale, CA $46.63-$134,000.00 2 weeks ago

Menlo Park, CA $114,000.00-$171,000.00 2 weeks ago

Menlo Park, CA $114,000.00-$171,000.00 2 weeks ago

Sunnyvale, CA $114,000.00-$171,000.00 2 weeks ago

Fremont, CA $145,000.00-$204,000.00 2 weeks ago

Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago

Data Scientist III, Product, Operations Data Science

Menlo Park, CA $173,000.00-$242,000.00 2 weeks ago

Mountain View, CA $158,000.00-$200,000.00 2 weeks ago

Sunnyvale, CA $145,000.00-$204,000.00 2 weeks ago

Redwood City, CA $123,000.00-$185,000.00 5 months ago

Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago

Machine Learning Engineer (Weather / Climate / AI)
Data Scientist, Customer Analytics & VoC

Sunnyvale, CA $173,000.00-$242,000.00 2 weeks ago

Palo Alto, CA $150,000.00-$225,000.00 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.