- Salary
- ₹3000k – ₹4000k
- Location
- Mumbai, India
- Workplace
- Remote
- Department
- IT
- Experience
- 10+ years
- Education
- PhD
- Source
- Keka
Description
Job Overview
We are seeking an experienced Head of Data Science to lead our data-driven decision-making and innovation initiatives. This role requires a highly skilled leader who can drive advanced analytics, AI/ML models, and data-driven strategies to optimize business performance. The ideal candidate should have 10+ years of experience in data science, strong leadership capabilities, and a proven track record in building and deploying AI/ML models at scale.
As the Head of Data Science, you will play a crucial role in shaping our data strategy, mentoring a high-performing team, and leveraging cutting-edge technologies to drive business impact.
Key Responsibilities
- Define and execute the data science strategy to support business growth and innovation.
- Lead and manage a team of data scientists, machine learning engineers, and analysts to develop scalable AI/ML models.
- Design and implement predictive modeling, NLP, deep learning, and AI-driven automation for various business applications.
- Oversee end-to-end model development, from data acquisition to deployment in production.
- Work closely with stakeholders across engineering, product, and business teams to translate complex data insights into actionable business decisions.
- Optimize big data processing pipelines and cloud-based data infrastructure for real-time analytics.
- Stay ahead of industry trends, emerging AI technologies, and best practices in data science.
- Ensure compliance with data privacy, security, and governance regulations.
Required Skills & Qualifications
- 10+ years of experience in data science, AI/ML, or quantitative analytics with at least 3+ years in a leadership role.
- Proficiency in Python, R, SQL, and distributed computing frameworks (Spark, Hadoop, Dask).
- Hands-on experience with deep learning (TensorFlow, PyTorch), NLP, computer vision, and reinforcement learning.
- Strong understanding of MLOps, model deployment (Docker, Kubernetes), and cloud platforms (Google Cloud, AWS, Azure).
- Ability to align data science initiatives with business goals and KPIs.
- Experience in data-driven decision-making across finance, marketing, operations, or product management.
- Proven track record of leading and scaling data science teams.
- Strong ability to present complex findings to senior executives and stakeholders.
- Master’s/PhD in Computer Science, Data Science, AI, Mathematics, or a related field.
- Experience in financial markets, algorithmic trading, or fintech is a plus.
Skills
PythonAWSAzureDockerKubernetesSQLMachine LearningDeep LearningNLPComputer VisionTensorFlowPyTorchSparkHadoopData ScienceComplianceR