Member of Technical Staff, Data Science
Quick facts
- Pay
- $140,000 to $260,000
- Type
- Full-time
- Location
- San Francisco, CA
- Skills
- Python, SQL, Figma
- Industry
- Information Technology — 671 open jobs
- Apply
- Free to apply — never pay anyone for a job offer or visa sponsorship
Job description
Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.
Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.
As a Data Scientist, you will map every human and AI interaction to help brands turn AIs into their strongest advocates. You will build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search, such as ChatGPT and Perplexity. Your work will directly impact how businesses shape their presence in the generative AI era.
What You’ll Do
- Develop and refine predictive models to analyze and forecast AI-driven search behavior
- Design sampling and data classification techniques to improve AI-driven brand insights
- Leverage LLMs and NLP to extract meaningful insights from unstructured text data
- Work with large datasets, ensuring efficiency in querying, cleaning, and classification
- Design and conduct A/B tests or other experimentation frameworks to measure impact
- Collaborate with the founding team to turn complex data insights into actionable business strategies
Who You Are
- 3 or more years of advanced analytics experience in technology, marketing, or advertising
- Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets
- Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation
- Strong background in predictive modeling and applying machine learning techniques to estimate event frequency
- Deep understanding of large language models, their limitations, and real-world applications
- Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements
- Comfortable in a fast-moving, high-performance startup environment
Location
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Visa sponsorship record: Profound Platform, Inc .
Sponsors occasionally| Fiscal year | H-1B LCAs | USCIS approvals | USCIS denials | PERM |
|---|---|---|---|---|
| FY2025 | 1 | 2 | 0 | 1 |
| FY2024 | 1 | — | — | — |
This exact kind of role (Data Scientists) isn't among the roles Profound Platform, Inc . sponsored most often.
Roles they sponsor most
- engineering manager1 LCA · median $200k
- head of engineering1 LCA · median $250k
Which visas can work for this job
Occupation: Data Scientists (SOC 15-2051).
- H-1B cap-exempt employer
Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).
- TN (citizens of Canada and Mexico)
This kind of role may fit the USMCA profession “Mathematician / Statistician” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.
- E-3 (Australia) and H-1B1 (Chile, Singapore)
Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.
- O-1 (extraordinary ability)
For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.
- STEM OPT extension (F-1 students)
Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.
- Green card (EB-2 / EB-3 via PERM)
Filed 1 PERM labor certification: they have a track record of sponsoring permanent residence.
Salary vs prevailing wage
Level I (entry)Data Scientists · San Francisco-Oakland-Fremont, CA. Annual prevailing wages set by the Department of Labor (OFLC).
| Level | Prevailing wage | H-1B lottery odds* |
|---|---|---|
| Level I | $110,386 | ~15% |
| Level II | $142,438 | ~31% |
| Level III | $174,512 | ~46% |
| Level IV | $206,565 | ~61% |
This job pays $140,000–$260,000 a year — that's Level I (entry). In the wage-weighted H-1B lottery a Level I registration gets 1 entry; estimated selection chance about 15% — below average.
* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.
Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.