or apply directly on Emergent Labs 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days Emergent Labs 's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Emergent Labs 's roles list one
- Ghost-job risk at Emergent Labs
- high 25 stale, 4 reposted of 36 open
- Hiring momentum
- 51 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Emergent Labs 's own greenhouse board since 2026-08-03. Full hiring picture for Emergent Labs .
About this role
As a Data Scientist at Emergent, you will analyze a vast array of data, including unstructured signals from user interactions and agent trajectories, to derive actionable insights that drive product and growth strategies. Your responsibilities include building predictive models, conducting rigorous A/B tests, and developing analytics frameworks that inform marketing and product decisions. You will work closely with cross-functional teams to enhance user experience and optimize conversion rates.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Emergent Labs as an employer.
What you need
- 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behavior
- Strong SQL and real comfort working with large, event-level behavioral data at scale
- Solid classical ML foundations, including clustering, embeddings and vector similarity, dimensionality reduction, and classification
- Genuine skill at deriving insight from unstructured natural-language data and turning it into predictive, queryable signal
- Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy)
- Data engineering competence to design and ship ETL and data models
Nice to have
- Marketing Mix Modeling (MMM), media attribution, or incrementality and geo-testing experience
- Experience at a PLG company with a self-serve funnel and freemium or usage-based pricing
- Familiarity with modern data stack and product analytics platforms
- Knowledge of causal inference methods
- Experience in fraud, trust and safety, or abuse analytics
What you get
- Daily Meals: Lunch and Dinner provided
- Family Insurance: 5 Lakhs worth of coverage for you and your family
- Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
- Flexible Working Hours: Work arrangements that fit your life and commitments
Worth weighing
- No salary listed
- Role involves dealing with large volumes of unstructured data, which may require advanced analytical skills
- Focus on ownership and speed may imply a fast-paced work environment
- Expectations for deep analytical rigor and quick turnaround times may be demanding
Summarised from Emergent Labs 's posting. Read the full original.
Listed by Emergent Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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