Lead Data Scientist – Predictive Analytics & Computer Vision

Job Type: Full Time, (WFO)
Years of Experience: 8–12 Years

Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions.

The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact.

Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.
• Translate complex business challenges into scalable data science solutions.
• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.
• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.
• Ensure strong MLOps, model governance, and data quality practices.
• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models.
  • Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.
  • Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.
  • Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.
  • Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.
  • Visualization: Strong data storytelling abilities using Power BI or Tableau.
  • Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.
  • Proven ability to deliver end-to-end AI projects in complex environments.
  • Strong communication and stakeholder management capabilities.
  • Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.
  • Experience in predictive analytics, consumer insights, or computer vision projects.
  • Exposure to marketing mix modeling, A/B testing, and campaign optimization.
  • Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.