Manager - Data Science

Job Title: Manager – Data Science (Automotive Industry)

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About FrogData

Role Overview

Manager – Data Science

Key Responsibilities

• Manage, mentor, and grow a high-performing team of data scientists and ML engineers.
• Oversee the end-to-end lifecycle of data science projects—from problem definition and model design to deployment and performance monitoring.
• Set technical direction, review model architectures, and ensure model scalability, accuracy, and business relevance.
• Translate business challenges in areas such as sales forecasting, service optimization, and inventory management into analytical frameworks.
• Collaborate closely with product managers, data engineers, and business stakeholders to define objectives, timelines, and success criteria.
• Ensure effective utilization of large-scale datasets from automotive industry-standard sources to generate insights and actionable outcomes.
• Standardize best practices in experimentation, model governance, documentation, and MLOps.
• Present insights, roadmap updates, and solution impact to senior leadership, clients, and external stakeholders.
• Stay abreast of emerging tools, AI trends, and automotive data innovations to elevate FrogData’s product capabilities.
  

Qualifications

• Minimum of 10+ years of experience in data science, AI/ML, with at least 3-4 years in a team leadership or managerial role.
• Advanced degree (PhD or Master’s) in Computer Science, Data Science, Statistics, Mathematics, or related field.
• Deep expertise in machine learning, predictive modeling, and statistical techniques (e.g., deep learning, NLP, reinforcement learning).
• Strong proficiency in Python, R, SQL, and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Proven track record of delivering production-grade ML solutions and managing cross-functional projects.
• Familiarity with automotive datasets across sales, customer behavior, service operations, and inventory flows.
• Excellent stakeholder management, project planning, and communication skills.
• Strong leadership mindset with the ability to coach, influence, and inspire teams.
  

Preferred Qualifications

• Direct experience working with automotive data ecosystems.
• Previous success in deploying AI/ML solutions that drove measurable business impact.
• Exposure to data visualization and analytics storytelling using tools like Tableau or Power BI.
  

Why Join FrogData?

• Be part of a cutting-edge company at the intersection of AI and automotive transformation.
• Lead a data science team working on high-impact projects for global automotive brands.
• Opportunity to shape the roadmap of AI-driven automotive insights products.
• Competitive salary and benefits package.
• Strong career progression with leadership growth opportunities.