Data Scientist

About iSOCRATES

• Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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:

• 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

  .