Lead Data Scientist
Hyderabad, Telangana, India
Applications have closed
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
As a Lead Data Scientist, you will be at the forefront of AI/ML innovation, leading by example with a strong hands-on approach in Machine Learning, Generative AI, Python, and SQL, along with experience in cloud environments (GCP, Azure, or AWS). This role blends technical expertise with leadership, requiring you to mentor a high-performing team while actively contributing to end-to-end AI/ML project execution. You will work cross-functionally to develop cutting-edge AI solutions that solve complex business challenges. If you excel in a fast-paced environment and enjoy transforming business problems into scalable AI-driven solutions, this role is for you!
Requirements
Key Responsibilities:
AI/ML Development & Deployment:
- Develop and implement ML models, Generative AI solutions, and predictive analytics.
- Conduct data mining, feature engineering, and statistical analysis.
- Own project roadmaps, ensuring quality control and timely delivery.
- Work closely with Data Engineering teams to deploy and operationalize ML models.
- Automate and optimize ML workflows for efficiency.
AI/ML Strategy & Innovation:
- Drive the growth of the Data Science practice, building new AI/ML capabilities.
- Design industry-specific AI/ML solutions and contribute to thought leadership.
- Evaluate emerging AI technologies and trends, integrating them into business solutions.
- Lead research initiatives, exploring new AI innovations and applications.
Leadership & Team Development:
- Mentor and develop a high-performance Data Science team.
- Provide guidance on career growth and skill development.
- Collaborate with cross-functional teams to drive seamless execution of AI initiatives.
Required Skills & Qualifications:
- 8+ years of experience in Data Science & AI, with strong expertise in ML, Generative AI, Python, and SQL.
- In-depth knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
- Experience with end-to-end ML deployment, including Azure, AWS, GCP, or Databricks.
- Proven ability to solve complex business problems in industries such as Retail, CPG, BFSI, Healthcare, or eCommerce.
- Strong foundation in statistics, probability, stochastic processes, and causal inference.
- Excellent communication skills, with the ability to explain AI concepts to non-technical stakeholders.
- Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines.
- Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics.
- Bachelor's/Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, or a related field.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Causal inference Classification Computer Science Databricks Data Mining E-commerce Engineering Excel Feature engineering GCP Generative AI Hadoop LLMs Machine Learning Mathematics ML models NLP Pipelines PySpark Python Research SQL Statistics
Perks/benefits: Career development
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