Data Scientist

2 days ago

Pune, Maharashtra, India dentsu Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Job Description:Key Responsibilities
  • Identify high-impact business opportunities through deep data exploration, EDA, and model prototyping
  • Translate business problems into scientific formulations and design data science solutions accordingly
  • Discover and curate relevant datasets (structured & unstructured) aligned with business goals
  • Lead the extraction, transformation, and compilation of data across multiple sources using tools like SQL, R, and Python
  • Conduct rigorous statistical analysis and experimentation, driving hypothesis formulation and validation
  • Automate analytics and reporting processes to ensure scalability, reduce manual effort, and spot anomalies
  • Develop predictive models to support brand, creative, and audience strategies
  • Analyze and interpret data trends over time to deliver actionable business insights
  • Implement and fine-tune models in production, working closely with ML engineers and developers
  • Deploy, monitor, and optimize predictive and generative AI models at scale
  • Build agentic AI workflows that use contextual and real-time data to produce relevant and validated insights
  • Fine-tune foundation models (e.g., LLMs) using proprietary datasets from multiple sources
  • Integrate and orchestrate data flows across APIs and live feeds to centralize access and accelerate insights
  • Champion model governance and performance tracking over time
  • Collaborate with cross-functional teams (Strategy, Creative, Engineering, Marketing) to align on goals and deliverables
  • Mentor junior data scientists and contribute to knowledge sharing and best practices
Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field
  • 10 years of professional experience in data science, including 3–5 years in a lead or principal role
  • 2 years of domain experience in marketing, creative advertising, or media agency context (highly preferred)
  • Strong programming expertise in Python, with libraries such as pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, and Keras
  • Hands-on experience in machine learning and deep learning techniques (classification, regression, clustering, etc.)
  • Expertise in both Predictive AI (Machine Learning / Deep Learning) and Generative AI solutions
  • Experience with agentic AI workflows and reasoning models for insight generation
  • Proficiency with cloud-based platforms like Azure ML, AWS Sagemaker, Azure OpenAI, AWS Bedrock, etc.
  • Advanced SQL skills and experience working with structured and unstructured data
  • Strong communication and leadership skills, with a proven ability to lead data science projects end-to-end
Preferred Skills
  • Experience building production-ready APIs or data pipelines for ML models
  • Experience in NLP, LLM fine-tuning, and retrieval-augmented generation (RAG)
  • Familiarity with MLOps and CI/CD workflows for model deployment and lifecycle management
  • Strong stakeholder management and cross-functional collaboration skills

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