Data Scientist
Forbes AdvisorIndia6 days ago
Full-timeRemote FriendlyProduction
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Company Description
About Forbes Advisor
Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated
to helping consumers make confident, informed decisions about their money, health, careers,
and everyday life.
We do this by combining data-driven content, rigorous product comparisons, and user-first
design — all built on top of a modern, scalable platform. Our global teams bring deep expertise
across journalism, product, performance marketing, data, and analytics.
Job Description
The Role
We’re 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.
You’ll 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 You’ll Do
Marketing & Revenue Modelling
Product & Growth Analytics
Predictive Modelling & Machine Learning
Collaboration & Communication
What You’ll Bring
Minimum Qualifications
Why Join Us?
About Forbes Advisor
Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated
to helping consumers make confident, informed decisions about their money, health, careers,
and everyday life.
We do this by combining data-driven content, rigorous product comparisons, and user-first
design — all built on top of a modern, scalable platform. Our global teams bring deep expertise
across journalism, product, performance marketing, data, and analytics.
Job Description
The Role
We’re 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.
You’ll 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 You’ll Do
Marketing & Revenue Modelling
- Own end-to-end modelling of LTV, user segmentation, retention, and marketing
- Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-
Product & Growth Analytics
- Work closely with Product Insights and General Managers (GMs) to define core metrics,
- Conduct deep-dive analysis of user behaviour, funnel performance, and product
- Monitor and explain changes in key product metrics, identifying root causes and
- Work closely with Data Engineering to design and maintain scalable data pipelines that
Predictive Modelling & Machine Learning
- Build predictive models for conversion, churn, revenue, and engagement using
- Identify opportunities for prescriptive analytics and automation in key product and
- Support development of reusable ML pipelines for production-scale use cases in
Collaboration & Communication
- Present insights and recommendations to a variety of stakeholders — from ICs to
- Translate business needs into data problems, and complex findings into strategic action
- Work cross-functionally with Engineering, Product, BI, and Marketing to deliver and
What You’ll Bring
Minimum Qualifications
- Bachelor’s 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.
- 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
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 world’s most trusted
Key Skills
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