Data Scientist Jobs in New York
Data Scientist jobs in New York are among the most active in the country, concentrated in financial services, technology, healthcare, and media, with openings at every level from entry-level analyst to principal scientist. New York City anchors the market, but Buffalo and Albany also show consistent hiring activity, particularly at large institutions. Well-known employers with lasting data science footprints here include JPMorgan Chase, IBM, and Memorial Sloan Kettering Cancer Center, with the strongest demand in machine learning engineering, NLP, and quantitative analytics. Find a role that fits below and apply directly.
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Data Scientist, Transparency & Observability - Trust and Safety
Location
:
New York
Employment Type
:
Regular
Job Code
:
A131083B
Responsibilities
TikTok's Trust & Safety team works to create a safe and trusted platform for billions of people around the world. We combine policy, technology, and operations to detect harmful content, protect users, and promote healthy online communities.
The Transparency & Observability Data Science team builds the data, metrics, and analytical capabilities that help us understand how our enforcement systems perform. Our work supports both internal decision-making and external transparency reporting, while improving the reliability, explainability, and quality of Trust & Safety data.
As a Data Scientist on this team, you will develop scalable metrics, monitoring systems, and analytical solutions that provide greater visibility into platform safety and help drive continuous improvements.
Responsibilities:
- Build Trust & Safety Metrics & Monitoring:
- Design and develop metrics that measure Trust & Safety enforcement across different products and content types.
- Build dashboards and monitoring solutions that provide actionable insights into platform safety.
- Develop automated anomaly detection and alerting to identify data or operational issues early.
- Improve Data Quality:
- Help ensure Trust & Safety data is accurate, reliable, and delivered on time.
- Investigate data issues, identify root causes, and improve data quality processes.
- Partner with engineering teams to strengthen data reliability and governance.
- Partner Across Teams:
- Work closely with Product, Engineering, Policy, Operations, and Data teams to build trusted measurement frameworks.
- Help create consistent and scalable approaches to transparency reporting and observability.
- Explore AI-powered solutions for monitoring model performance and understanding their impact on platform safety.
- Drive Business Impact:
- Turn complex data into clear insights that support strategic decisions.
- Identify emerging risks and opportunities through data analysis.
- Contribute to the long-term roadmap for Trust & Safety observability and measurement.
Minimum Qualification(s):
- 5+ years of experience in Data Science, Data Analytics, Data Engineering, or a related quantitative field.
- Strong SQL skills and experience working with large-scale data platforms (e.g. Hive, Spark).
- Proficiency in Python or R.
- Experience building data quality monitoring, reporting, or observability solutions.
- Experience designing metrics and developing dashboards or reporting tools.
- Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly.
- Bachelor's degree or above in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.
- Experience in Trust & Safety, content moderation, risk management, or regulatory reporting.
- Experience building end-to-end monitoring or observability platforms.
- Familiarity with transparency reporting requirements such as DSA or other regulatory frameworks.
- Experience with anomaly detection, experimentation, causal inference, or time-series analysis.
- Experience driving data quality initiatives at scale.
- Experience working with global cross-functional teams.
- Passion for using data to improve online safety.
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $353600 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.
Trust & Safety
Content that this role interacts with includes images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Hence, it is possible that this role will be exposed to harmful content on a daily basis.
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.
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
See All 181+ Data Scientist Jobs in New York
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Where New York roles are concentrated, by current openings.
Data Scientist Job Market in New York
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Who's Hiring



Top Industries Hiring
- Technology & Software32
- Banking & Financial Services8
- Science & Research7
- Fintech5
- Investment & Asset Management5
What New York Employers Look For
The qualifications that appear most often in data scientist jobs across New York.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and pipeline development
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to write complex SQL queries and work with large relational or cloud databases
- Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib
- Strong communication skills to present findings clearly to non-technical stakeholders
Data Scientist Jobs in New York: Frequently Asked Questions
How do you become a data scientist in New York?
Data scientist is not a licensed profession in New York, so no state board exam or registration is required. Most employers in New York expect a bachelor's degree at minimum, with a master's in statistics, computer science, applied mathematics, or a closely related field preferred for mid-level and senior roles. Building a portfolio of projects, earning credentials in cloud platforms used heavily in New York finance and healthcare, and gaining experience with the full modeling lifecycle gives candidates a concrete edge in this market.
How much do data scientists make in New York?
Data scientists in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in New York?
Employers hiring data scientists in New York right now include Amazon, Capital One, and Lyft, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, major hospital systems, and global media companies means data scientists here often work at the intersection of high-stakes decisions and large proprietary datasets.
Which New York cities have the most data scientist jobs?
New York, Manhattan, and Grand Island have the most data scientist openings in New York. New York City dominates because of its density of financial services firms, technology companies, and academic medical centers, while Buffalo and Albany draw hiring from healthcare networks, state government agencies, and growing regional tech employers that consistently post analytical roles.
Are there remote data scientist jobs in New York?
Yes, and more than most fields. About 68% of data scientist openings tied to New York are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-software nature of the work. Modeling, research, and pipeline development roles are the most likely to be fully remote, while positions that require close collaboration with trading floors or clinical operations teams tend to require at least partial on-site presence.
How can I get hired as a data scientist in New York with little or no experience?
The most realistic entry path is a junior data analyst or associate data scientist role, which large New York employers in finance and healthcare regularly post for candidates with a relevant degree but limited professional history. Banks like Citigroup and insurance firms operating in New York often run structured analyst development programs for new graduates. Contributing to open-source projects, completing a publicly visible Kaggle portfolio, or earning a cloud certification recognized in New York's finance and healthcare sectors can move an application past screening when direct experience is thin.
Where can I find and apply to data scientist jobs in New York?
You can find and apply to data scientist jobs in New York on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
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