We are seeking a highly experienced and strategic Data Scientist to drive impactful data science initiatives across our organization. This role will focus on solving complex business problems by leveraging predictive and generative AI, agentic AI workflows, and large-scale data analytics. The ideal candidate will have a strong background in both data science and engineering, along with hands-on experience in deploying AI solutions in production environments.
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
