Data Scientist

DESIGNATION: DATA SCIENTIST - Marketing

Job Summary: 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