Designation: Data Scientist II

Office Location: Gurgaon & Bangalore

Position Description:

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders.

Primary Responsibilities:

Collaborate with business stakeholders to understand and translate their goals into data science initiatives, taking a leadership role in project definition.
Lead the development and implementation of advanced machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently, ensuring scalability and robustness.
Develop and implement comprehensive strategies to optimize budget allocation in scenarios with high cardinality and uncertainty, driving significant business impact.
Conduct in-depth exploratory data analysis to discover complex data sets patterns, trends, and insights, providing strategic recommendations.
Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders, including senior leadership, influencing strategic decisions.
Stay abreast of the latest advancements in data science, machine learning, and relevant technologies, driving adoption of best practices within the team.
Lead the development and training of sophisticated ML/DL models for forecasting/classification, optimizing for performance and interpretability.
Design and build robust AI agents & RAG-based systems, overseeing their deployment and maintenance.
Leverage data-driven insights and predictive modeling to build high-impact PoCs and transition them into production-ready solutions.
Design and implement advanced recommendation systems to improve campaign performance, and work on optimization techniques for these recommendation systems.
Architect and implement orchestration workflows using LangChain, LangGraph, or similar, ensuring efficient and scalable data pipelines.
Utilize advanced SQL for complex data analysis, feature engineering, and reporting, driving critical business intelligence.
Mentor and guide junior data scientists, fostering their professional growth and technical skills.

Required Skills:

Bachelor's or Master's in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics.
Exceptional problem-solving skills with a proven track record of tackling complex, ambiguous problems.
Strong coding skills in Python, with experience in developing and deploying production-grade code.
4+ years of relevant work experience in data science and machine learning, with a focus on leading projects.
Solid background in advanced statistical analysis, hypothesis testing, experimental design, and causal inference.
Expert proficiency in Python and SQL, with experience in optimizing queries and data processing.
Preferred experience with GCP Platform, including expertise in relevant services like BigQuery, AI Platform, and Vertex AI.
Exposure to RAG, LLMs, and agentic workflows - including advanced techniques in Finetuning & Evaluation, and prompt engineering.
Deep familiarity and practical experience with LangChain, LangGraph, or similar orchestration toolkits, for building complex AI applications.
Plus points if you have a strong background in the AdTech space, particularly in optimization and bidding strategies.
Excellent communication and presentation skills with the ability to convey highly technical concepts to diverse audiences, including executive leadership.

Work Environment Details:

About Affle:

Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer engagement, acquisitions, and transactions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. While Affle's Consumer platform is used by online & offline companies for measurable mobile advertising, its Enterprise platform helps offline companies to go online through platform-based app development, enablement of O2O commerce and through its customer data platform.

Affle India successfully completed its IPO in India on 08. Aug.2019 and now trades on the stock exchanges (BSE: 542752 & NSE:AFFLE). Affl e Holdings is the Singapore based promoter for Affl e India and its investors include Microsoft, Bennett Coleman &Company (BCCL) amongst others.

For more details: www.affle.com

About BU (Ultra)

Ultra Prism is a cutting-edge AI-powered platform designed to empower performance marketers on walled garden platforms like Meta and Google. With a focus on precision targeting, the platform streamlines the creative process, delivering state-of-the-art assets while providing actionable insights and recommendations for campaign optimization. By transforming guesswork into strategy and enabling smarter, data-driven decisions, Ultra Prism helps marketers unlock unmatched ROI and achieve extraordinary results with confidence and ease.

For more details: https://www.ultraplatform.io/

Data Scientist II , Ultra