Lead Data Scientist

About ISOCRATES
Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM).

iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them.

iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training.

About MADTECH.AI
MADTECH.AI
is your Marketing Decision Intelligence platform. Unify, transform, analyze, and visualize all your data in a single, cost-effective AI-powered hub. Gain speed to value by leaving data wrangling, model building, data visualization, and proactive problem solving to MADTECH.AI. Sharper insights, smarter decisions, faster.

MADTECH.AI
was spun out of well-established Inc. 5000 consultancy iSOCRATES which advises on, builds, manages, and owns mission-critical Marketing, Advertising and Data platforms, technologies and processes as the Global Leader in MADTECH Resource Planning and Execution serving marketers, agencies, publishers, and their data/tech suppliers.

Job Description
iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products.

Key Responsibilities

• Team Leadership & Management:
• Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns.
• Advanced Analytics & Data Science Expertise:
• Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes.
• Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods.
• Generative AI & NLP:
• Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes.
• Data Architecture & Management:
• Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns.
• Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem.
• Cross-Functional Collaboration:
• Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns.
• Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners.
• Predictive Modeling & Optimization:
• Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.).
• Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms.
• Data Collection & Quality Assurance:
• Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization.
• Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives.

Qualifications
Master's or Ph.D. in
Statistics, Computer Science, Engineering, or a related field
with a strong foundation in mathematics and statistics.

7–9 years of hands-on experience
in Data Science, Predictive Analytics, and Marketing Analytics.

Proven Expertise In

• Supervised & Unsupervised Learning (regression, classification, clustering, dimensionality reduction).
• Ensemble Methods (Random Forest, Gradient Boosting, XGBoost).
• Marketing Mix Modeling, Multi-Touch Attribution, and other marketing science models.
• NLP techniques (sentiment analysis, topic modeling, text classification).
• Generative AI for Marketing Applications.
• Experimentation frameworks (A/B testing, significance testing).
• Cloud platforms (AWS, GCP) for deployment and monitoring.
• Strong analytical skills and business acumen, particularly in marketing performance optimization.
• Excellent communication and presentation skills to explain technical insights to non-technical stakeholders.
• Ability to thrive in a fast-paced, dynamic environment and collaborate across global, distributed teams.
• Willingness to relocate to Mysuru or Bengaluru.