Data Science Engineer

Data Science & AI Lead

About Our Client:

Location: Bengaluru

Qualification: B.Tech/M.Tech or equivalent in CS, Data Science, or related domain

About the role:

Responsibilities:

• Develop and manage the strategic data science and AI roadmap in alignment with the company's goals and objectives.
• Lead a team of data scientists, machine learning engineers, and AI/ML specialists.
• Oversee the design, development, and deployment of data science and AI/ML models and applications.
• Collaborate with cross-functional teams (business, IT, product) to identify and prioritize data-driven initiatives.
• Define and implement robust data governance, quality, and security practices.
• Ensure the scalability, reliability, and performance of data science and AI/ML solutions.
• Analyze and interpret complex data to uncover insights and recommend data-driven strategies.
• Communicate findings, insights, and recommendations to stakeholders at all levels.
• Stay informed about the latest trends, technologies, and best practices in data science and AI.
• Mentor and develop the data science and AI/ML team members.
• Continuously improve data science and AI/ML processes and methodologies.

Requirements:

• 7+ years of experience in data science, machine learning, or artificial intelligence, with at least 3 years in a leadership role.
• Proven track record of successfully delivering data-driven projects and solutions.
• Proficient in statistical analysis, data mining, and machine learning techniques.
• Hands-on experience with programming languages (e.g., Python, R, SQL) and data science/AI tools (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of cloud computing, data engineering, and software development lifecycles.
• Excellent problem-solving, critical thinking, and decision-making skills.
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
• Industry certifications in data science, machine learning, or AI/GenAI (e.g., AWS Certified Data Scientist, Google Cloud Professional Data Engineer).
• Familiarity with natural language processing (NLP), computer vision, or other specialized AI domains.
• Experience in product development, project management, or business consulting.

About Hireginie: