Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
The Role
Were hiring a Data Scientist to help us unlock growth through advanced analytics and machine
learning. This role sits at the intersection of marketing performance product optimization and
decision science.
Youll partner closely with Paid Media Product and Engineering to build models generate
insight and influence how we acquire retain and monetize users. From campaign ROI to user
segmentation and funnel optimization your work will directly shape how we grow.
This role is ideal for someone who thrives on business impact communicates clearly and
wants to build re-usable production-ready insights not just run one-off analyses.
What Youll Do
Marketing & Revenue Modelling
Own end-to-end modelling of LTV user segmentation retention and marketing
efficiency to inform media optimization and value attribution.
Collaborate with Paid Media and RevOps to optimize SEM performance predict high-
value cohorts and power strategic bidding and targeting.
Product & Growth Analytics
Work closely with Product Insights and General Managers (GMs) to define core metrics
KPIs and success frameworks for new launches and features.
Conduct deep-dive analysis of user behaviour funnel performance and product
engagement to uncover actionable insights.
Monitor and explain changes in key product metrics identifying root causes and
business impact.
Work closely with Data Engineering to design and maintain scalable data pipelines that
support machine learning workflows model retraining and real-time inference.
Predictive Modelling & Machine Learning
Build predictive models for conversion churn revenue and engagement using
regression classification or time-series approaches.
Identify opportunities for prescriptive analytics and automation in key product and
marketing workflows.
Support development of reusable ML pipelines for production-scale use cases in
product recommendation lead scoring and SEM planning.
Collaboration & Communication
Present insights and recommendations to a variety of stakeholders from ICs to
executives in a clear and compelling manner.
Translate business needs into data problems and complex findings into strategic action
plans.
Work cross-functionally with Engineering Product BI and Marketing to deliver and
deploy your work.
What Youll Bring
Minimum Qualifications
Bachelors degree in a quantitative field (Mathematics Statistics CS Engineering etc.).
4 years in data science growth analytics or decision science roles.
Strong SQL and Python skills (Pandas Scikit-learn NumPy).
Hands-on experience with Tableau Looker or similar BI tools.
Familiarity with LTV modelling retention curves cohort analysis and media attribution.
Experience with GA4 Google Ads Meta or other performance marketing platforms.
Clear communication skills and a track record of turning data into decisions.
Nice to Have
Experience with BigQuery and Google Cloud Platform (or equivalent).
Familiarity with affiliate or lead-gen business models.
Exposure to NLP LLMs embeddings or agent-based analytics.
Ability to contribute to model deployment workflows (e.g. using Vertex AI Airflow or
Composer).
Why Join Us
Remote-first and flexible work from anywhere in India with global exposure.
Monthly long weekends (every third Friday off).
Generous wellness stipends and parental leave.
A collaborative team where your voice is heard and your work drives real impact.
Opportunity to help shape the future of data science at one of the worlds most trusted
brands.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Analytics
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
