Role Summary We are looking for a Senior Data Scientist with strong hands-on experience in machine learning, deep learning, predictive modeling, and customer intelligence models such as affinity, propensity, and lookalike models. The ideal candidate should be comfortable working with large-scale datasets, building production-ready models, and collaborating with business, product, engineering, and marketing teams to drive measurable impact. The role also requires exposure to Agentic AI, including AI agents, LLM-based workflows, tool-using agents, and automation frameworks.

Key Responsibilities ● Build, validate, and deploy machine learning and deep learning models for business use cases.● Develop affinity, propensity, recommendation, segmentation, churn, and lookalike models to improve targeting, personalization, and conversion.● Work on end-to-end data science projects, including problem framing, data exploration, feature engineering, model development, evaluation, and deployment support.● Analyze customer behavior, transaction patterns, content consumption, campaign responses, and digital engagement signals.● Collaborate with product, marketing, business, and engineering teams to translate business problems into scalable data science solutions.● Design experiments, A/B tests, uplift models, and measurement frameworks to assess model and campaign impact.● Build scalable data pipelines and reusable modeling frameworks in partnership with data engineering teams.● Apply deep learning techniques where relevant, including neural networks, embeddings, sequence models, NLP,



or transformer-based models.● Explore Agentic AI use cases such as AI assistants, workflow automation, autonomous task execution, and LLM-powered decision support.● Present insights, model outcomes, and recommendations to technical and non-technical stakeholders.● Mentor junior data scientists and help improve data science best practices.

Required Skills and Experience ● 5+ years of experience in data science, machine learning, or applied AI roles.● Strong hands-on experience with ML algorithms such as regression, classification, clustering, random forests, gradient boosting, XGBoost, Light GBM, Cat Boost, and ensemble methods.● Experience building propensity models, affinity models, lookalike models, segmentation models, and recommendation systems.● Good understanding of deep learning concepts and practical exposure to Tensor Flow, Py Torch, Keras, or similar frameworks.● Strong programming skills in Python and robust SQL skills for working with large datasets.● Experience with data science libraries such as pandas, Num Py, scikit-learn, statsmodels, XGBoost, and Light GBM.● Experience with model evaluation metrics such as AUC, precision, recall, F1-score, lift, gain, KS, RMSE, MAE, and business KPIs.● Understanding of feature engineering, feature selection,



model interpretability, and model monitoring.● Exposure to cloud platforms such as AWS, GCP, or Azure is preferred.● Exposure to Agentic AI, LLMs, prompt engineering, RAG, Lang Chain, Lang Graph, Crew AI, Auto Gen, Open AI APIs, or similar frameworks.● Ability to communicate complex analytical concepts clearly to business stakeholders.

Preferred Qualifications ● Experience in digital, media, e-commerce, subscription, advertising, fintech, or consumer-tech domains.● Experience with personalization, audience intelligence, marketing analytics, campaign optimization, or customer lifecycle modeling.● Exposure to MLOps tools such as MLflow, Airflow, Docker, Kubernetes, Kubeflow, Git, and CI/CD pipelines.● Experience with vector databases, embeddings, RAG pipelines, or LLM-based applications.● Understanding of data privacy, responsible AI, model governance, and ethical AI practices.

Educational

Qualification ● Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related field.● Advanced degree or relevant certifications in AI/ML will be an advantage. Key Competencies ● Strong analytical and problem-solving mindset.● Business-first approach to data science.● Ability to work independently and manage multiple projects.● Strong stakeholder management and communication skills.● Curiosity to explore emerging AI technologies, especially Agentic AI and LLM-based systems.● Ability to mentor and guide junior team members.

📌 Data Scientist (Delhi)
🏢 HT Digital Streams
📍 Delhi