Data Scientist

Rarevs Consulting Solutions; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Rarevs Consulting Solutions is seeking a Data Scientist focused on Marketing Analytics to turn complex marketing data into predictive ML and AI solutions. You will work on lead scoring, churn, CLV/LTV, MMM, MTA, and attribution, using advanced SQL and Databricks/Spark in a fast-growing US mortgage business.

You’ll collaborate with marketing and tech teams to translate insights into action. The role requires 3–6 years in data science, strong Python and ML skills, and experience with large

Qualifications

• Hands-on data science with marketing analytics focus.
• Experience turning marketing problems into predictive ML solutions.
• Strong statistical modeling and experimentation expertise.

Responsibilities

• Build, train, validate, and optimize ML models for lead scoring and conversion prediction.
• Apply regression, classification, clustering, and forecasting techniques.
• Analyze marketing channels, campaigns, and funnels to identify performance drivers.
• Design and analyze A/B tests and controlled experiments for impact assessment.

Skills

Python

Advanced SQL

Machine Learning

Predictive Modeling

EDA

A/B Testing

Big Data Analysis

Databricks

Apache Spark

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

NLP

MLOps

Education

Bachelor's or Master's in CS/DS/Statistics

Tools

Databricks / Apache Spark

Azure DevOps

Spark SQL

Job description

DESIGNATION: DATA SCIENTIST - Marketing

We are looking for a Data Scientist Marketing Analytics to join our fast-growing US Mortgage business. This is a hands-on, technology-driven Data Science role focused on applying Machine Learning, AI, statistical modeling, and advanced analytics to marketing and customer growth challenges.

This is NOT a traditional MIS, reporting, dashboarding, or Marketing Analyst role. We are looking for someone who can turn complex business problems into predictive, ML, and AI-driven solutions.

Key Responsibilities

Data Science, ML & Customer Analytics

• Build, train, validate, and optimize ML models for lead scoring, conversion prediction, propensity, segmentation, churn, retention, and CLV/LTV.
• Apply regression, classification, clustering, forecasting, feature engineering, statistical modeling, and other advanced analytical techniques.
• Explore large and complex datasets to identify customer behaviors, patterns, trends, and growth opportunities.
• Develop data-driven solutions to improve customer acquisition, engagement, conversion, and retention.

Marketing Analytics & Optimization

• Analyze marketing channels, campaigns, customer journeys, and acquisition funnels to identify performance drivers.
• Develop and improve Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), attribution, and incrementality approaches.
• Design and analyze A/B tests and controlled experiments to measure campaign and business impact.
• Translate analytical findings into actionable recommendations for marketing and business teams.

AI & Generative AI

• Identify opportunities to apply AI and Generative AI to marketing, customer intelligence, personalization, and automation.
• Develop solutions using LLMs, NLP, embeddings, RAG, personalization, and recommendation techniques.
• Work with structured and unstructured data,
• Build AI/ML proof-of-concepts and collaborate with technology teams to move successful solutions toward implementation.

Data & Technology

• Work with large datasets from CRM, marketing platforms, digital channels, mortgage systems, customer databases, and market sources. Use Advanced SQL and Databricks / Apache Spark for data extraction, transformation, analysis, and feature development.
• Develop scalable data science workflows using modern data and ML platforms.
• Communicate model results, insights, assumptions, and business impact clearly to technical and non-technical stakeholders.

REQUIRED SKILLS

Core Technical Skills

• Strong hands-on experience with Python and Advanced SQL
• Strong understanding of Machine Learning & Predictive Modeling
• Statistics & Statistical Modeling
• Model Development, Validation & Evaluation
• Exploratory Data Analysis (EDA) & Feature Engineering
• A/B Testing & Experimentation
• Experience working with large and complex datasets
• Hands-on experience with Databricks / Apache Spark Preferred
• Pandas, NumPy, Scikit-learn
• TensorFlow / PyTorch
• Generative AI, LLMs & NLP
• MLOps / Model Deployment
• Cloud-based data and ML platforms
• Experience with modern data engineering and ML workflows

Good to Have

• Azure DevOps experience
• Exposure to CI/CD and ML model deployment workflows
• Experience working within Azure-based data and AI environments.

WHAT WE'RE LOOKING FOR

The ideal candidate is a hands-on Data Scientist, not a reporting analyst, who can:

• Convert ambiguous marketing/business problems into Data Science, ML, or AI solutions.
• Work independently with large, raw, and complex datasets.
• Build and evaluate models rather than simply consume reports.
• Apply statistical thinking and experimentation to validate hypotheses. Understand customer acquisition, conversion, retention, segmentation, attribution, and LTV.
• Connect technical analysis with measurable business outcomes.
• Communicate effectively with both technical and business stakeholders.
• Thrive in a fast-paced, high-growth startup environment.

EXPERIENCE & EDUCATION

• 3-6 years of relevant experience in Data Science, Marketing Data Science, Customer Analytics, Machine Learning, Growth Analytics, or Advanced Analytics.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI, Economics, or a related quantitative field.
• Demonstrated experience delivering real-world ML, AI, predictive analytics, or advanced marketing analytics projects.

Location

3rd Floor, Sandeep Arcade, HSR Layout, Bangalore Landmark: Above AU Small financial bank

Working Conditions

US shift, Working Hours: IST 4:30PM to IST 1:30AM, 5 days a week Work from Office

Client

i Fund Cities, US https://ifundcities.com