
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.
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
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 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.
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 world’s most trusted
brands.

About Forbes Advisor
About
Forbes Advisor is a global consumer-finance platform under the Forbes brand, dedicated to simplifying decisions around money, insurance, loans, banking, real estate and more. Its mission is “Smart Financial Decisions Made Simple.”
The site publishes deep research-backed reviews, product comparisons, advice and guides — all of which help people make confident financial choices.
Headquartered in Jersey City, New Jersey (US) at 499 Washington Blvd
Tech stack
Candid answers by the company
It produces expert-written content, guides and product reviews across consumer finance topics (credit cards, loans, savings, insurance, investing, mortgages). It also powers comparison-tools and helps users make smarter financial choices.
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Job Description: NutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer's business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.
Mandatory Skills: -
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Good To Have:
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Why Join Us?
We offer Innovative work in AI & Data Engineering Space, with a unique, diverse workplace environment having a Continuous learning and development opportunities. These are just some of the reasons we're consistently being recognized as one of the best companies to work for, and why our people choose to grow careers at NutaNXT. We also offer a highly flexible, self-driven, remote work culture which fosters the best of innovation, creativity and work-life balance, market industry-leading compensation which we believe help us consistently deliver to our clients and grow in the highly competitive, fast evolving Digital Engineering space with a strong focus on building advanced software products for clients in the US, Europe and APAC regions.
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Full Stack Engineer Role
🏘 Why Propacity?
In a country like India where every Indian aspires to have a home which provides both emotional & financial stability. Typically, real estate brokers are responsible for closing transaction for buyers, and sellers. In fact, the data suggests > 90% transactions occur via 1.5 million real estate brokers.
Unfortunately, real estate brokers are having a painful time managing their business on their own. This is leading to awful customer experience for buyers, and sellers.
Propacity is creating a platform which empowers real estate brokers to create trustworthy experience for Indians customers looking to invest their life savings.
🏚 What does Propacity Platform do?
- Solve for lead generation, lead management, market insights, growth opportunities, and more
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💛 Team Propacity
Started in 2020, we are of one of India's fastest-growing PropTech startup. We are a team of startup heroes, technology enthusiasts, product makers and business operators who want to create trustworthy real estate experience for Indians investing their lifesavings in the real estate.
Currently, working with over 200+ real estate brokers in 20+ Indian Cities.
Our team is super passionate, customer obsessed and extremely supportive of each other.
🚀 Why join us?
As a Full Stack Founding Engineer, you will be responsible for the technical implementation of Propacity Platform with other A+ Engineers
We are redefining the real estate industry. It will be hard and there are a ton of challenges facing us. However, with the right mindset, strategy, and the world-class team that we’re building, we know we can push the world forward, and build the biggest business imaginable.
👩🏽💻👨💻 YOUR ROLE
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🤙 OUR HIRING PROCESS
Yes, we make sure every candidate who joins Propacity brings in the right DNA, has growth mindset, maximises peer-to-peer learning, ownership oriented and enjoys building tech products.
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Step 4: Evaluation of your Technical Expertise
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Step 6: Job offer rollout
Step 7: Join the Team Propacity & start building
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✍️ Investing in Your Growth
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- Working Directly with the Founders
- Shared Learning with Super Smart Team Members
- Ownership to build products and teams
💰 Financial Success
- Company ESOPS
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