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Lead Data Scientist – Automotive Industry

2 months ago

Mysore, India frogdata Full time
About FrogData:
FrogData is an innovative data analytics and AI-driven platform dedicated to transforming the automotive industry. Our mission is to empower auto dealerships, OEMs, and industry stakeholders by providing them with actionable insights derived from large-scale data analysis. Using state-of-the-art machine learning and AI technologies, we tackle complex challenges across various business areas such as sales optimization, service efficiency, inventory management, and customer retention. By integrating data from industry-standard sources and applying advanced analytics, FrogData delivers unparalleled solutions that drive growth, streamline operations, and enhance decision-making processes for automotive businesses worldwide.
Job Title: Lead Data Scientist – Automotive Industry
Location: Bangalore, India
Employment Type: Full-time
Experience: Minimum 10+ years in Data Science/AI/ML
Job Description:
FrogData is seeking a highly skilled Lead Data Scientist to lead and innovate our data science initiatives, focusing on solving critical business challenges in the automotive sector. You will leverage advanced analytics, machine learning models, and AI to deliver predictive insights and optimize key processes for our clients. The ideal candidate will have deep technical expertise, strong leadership qualities, and a passion for driving data-driven solutions that have a tangible impact on the business.
Key Responsibilities:
Lead the design, development, and deployment of machine learning models and algorithms to address business challenges such as sales forecasting, service optimization, and inventory management in the automotive industry.
Collaborate with cross-functional teams, including product managers, data engineers, and business analysts, to define project goals and ensure successful execution.
Work with large datasets sourced from industry-standard platforms and data repositories to generate valuable insights and business recommendations.
Guide the team in applying advanced statistical methods and machine learning techniques, ensuring high model accuracy and scalability in production environments.
Present complex findings and insights to both internal and external stakeholders in a clear, actionable format.
Stay ahead of industry trends, tools, and best practices to continually enhance FrogData’s product offerings.
Qualifications:
Minimum of 10+ years of experience in data science, with a proven track record of leading successful projects and teams.
Advanced degree (PhD or Master’s) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Expertise in machine learning algorithms, statistical modeling, and AI technologies (e.g., natural language processing, deep learning, reinforcement learning).
Proficiency in programming languages and tools such as Python, R, SQL, and experience with libraries like TensorFlow, PyTorch, and scikit-learn.
Familiarity with big data tools and cloud computing platforms (e.g., AWS, GCP, Azure).
Extensive experience working with data from industry-standard sources (e.g., automotive sales, customer behavior, inventory management, service data).
Knowledge of data visualization techniques and tools (e.g., Tableau, Power BI) to effectively communicate data insights.
Strong leadership and project management skills with the ability to work with cross-functional teams and manage stakeholders.
Preferred Qualifications:
Hands-on experience with data in the automotive industry.
Familiarity with automotive industry data sources, such as sales, service, and inventory management platforms.
Proven success in driving measurable impact using data science solutions in a business context.
Why Join FrogData?
Be part of a cutting-edge company at the intersection of AI and automotive innovation.
Work on challenging, high-impact projects with some of the largest and most influential companies in the automotive industry.
Opportunities for professional development and career growth.
Competitive salary and benefits package.