CPT Data Science Analyst Jobs
Data Science Analyst CPT jobs let F-1 students apply machine learning, statistical modeling, and business intelligence skills in a work setting that directly supports their degree program. Your DSO must authorize each CPT position before you start, and the work must be an integral part of your curriculum, not just relevant to your field.
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About the Team
TikTok Live Data Science team is responsible for Live growth, ecosystem and revenue strategy analytical work. We work closely with Algorithm team and Product team. The goal of the team is to generate actionable insights from data, driving Live to create an environment that brings communities together in real time to create meaningful and interactive connections around the globe. Our main tasks include metrics defining, root cause analysis, experimentation methodology, strategy evaluation and exploratory analysis to find more opportunities. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities:
- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc.
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
- Research data science theories and methodology, improve analysis efficiency and data product tools.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Data Science or a related discipline.
- Expertise in SQL
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.
Preferred Qualifications
- Experience of LIVE related business.
- Knowledge of machine learning and recommendation systems.
- Experience programming with Python or R.
Job Information
【For Pay Transparency】Compensation Description (Hourly)
- Campus Intern The hourly rate range for this position in the selected city is $35 - $35. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. 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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
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
Responsibilities
About the Team
TikTok Live Data Science team is responsible for Live growth, ecosystem and revenue strategy analytical work. We work closely with Algorithm team and Product team. The goal of the team is to generate actionable insights from data, driving Live to create an environment that brings communities together in real time to create meaningful and interactive connections around the globe. Our main tasks include metrics defining, root cause analysis, experimentation methodology, strategy evaluation and exploratory analysis to find more opportunities. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities:
- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc.
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
- Research data science theories and methodology, improve analysis efficiency and data product tools.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Data Science or a related discipline.
- Expertise in SQL
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.
Preferred Qualifications
- Experience of LIVE related business.
- Knowledge of machine learning and recommendation systems.
- Experience programming with Python or R.
Job Information
【For Pay Transparency】Compensation Description (Hourly)
- Campus Intern The hourly rate range for this position in the selected city is $35 - $35. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. 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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
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
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Get Access To All JobsData Science Analyst CPT: Frequently Asked Questions
Does a Data Science Analyst CPT role qualify if my degree is in a related field like statistics or computer science?
Yes, CPT eligibility depends on whether the work is an integral part of your enrolled program, not whether your degree title exactly matches the job title. A statistics or computer science program with coursework in data modeling, machine learning, or business analytics can support a Data Science Analyst CPT authorization, provided your DSO agrees the position advances your academic objectives.
Can I do full-time CPT as a Data Science Analyst without affecting my OPT eligibility?
Full-time CPT for 12 months or more eliminates your OPT eligibility entirely, including the STEM OPT extension. Part-time CPT, regardless of duration, has no impact on OPT. Many F-1 students in data roles structure their CPT as part-time to preserve post-graduation work authorization options, especially if they plan to pursue H-1B visa sponsorship through STEM OPT.
What should I look for in an employer to support a smooth CPT-to-OPT transition in a data science role?
Prioritize employers enrolled in E-Verify, since STEM OPT requires it. Look for companies with a history of filing Labor Condition Applications for data-related occupations, which you can research on Migrate Mate. A company that has sponsored data analysts before is far more likely to understand the documentation requirements when your OPT begins or when H-1B season approaches.
Does the type of data science work I do on CPT affect my future visa sponsorship options?
It can. Data Science Analyst roles need to meet the specialty occupation standard for H-1B sponsorship, meaning the position requires at least a bachelor's degree in a directly related field. CPT experience that documents applied statistical modeling, machine learning deployment, or quantitative business analysis strengthens the specialty occupation argument when your employer later files an LCA and H-1B petition.
How specific does my CPT authorization need to be about the employer and job duties?
Very specific. Your updated I-20 must name the employer, list the start and end dates, and classify the work as either part-time or full-time. Your DSO typically requires a formal offer letter and sometimes a written description of how the role connects to your coursework. Vague duty descriptions like 'data work' are often insufficient; framing duties around your academic program's learning objectives improves approval speed.