Data Science Lead

Job Summary:

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings.

Mandatory Technical Skills:

Strong statistical and machine learning intuition to address new and unique challenges.

Ability to design, develop and deploy end-to-end data science solutions, POC s and production-grade applications.

Strong proficiency in Python with OOP principles - (4 years of experience)

Experience developing APIs using Flask or Fast API frameworks - (2 years of experience)

Integration knowledge with front-end applications - (1 year of experience)

Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - (3 years of experience)

Familiarity with task management tools (e.g., Jira, Azure DevOps) - (2 years of experience)

Proficiency in databases, including SQL, NoSQL and vector databases - (2+ years of experience)

Working knowledge of ML pipelines and CI/CD.

Experience with at least one of the cloud platforms (Azure, AWS, GCP) - (2+ years of experience)

Core Excellence Areas (CEA):

Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying):

1. NLP
2. Generative AI (NLP)
3. Computer Vision
4. Time Series Forecasting
5. Recommendation Systems and Optimization

Roles Responsibilities:

Advanced AI/ML/Gen AI Implementation:

o Leverage advanced AI and machine learning techniques to address complex business challenges.

o Design, develop, and deliver innovative data science solutions.

Architectural Design:

o Develop end-to-end generative AI solutions.

o Build scalable architectures for AI/ML models and applications.

Team Leadership:

o Lead and mentor a team of data scientists, fostering professional growth and technical excellence.

o Provide strategic and technical guidance to ensure the team delivers high-quality projects.

Cross-functional Collaboration:

o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions.

Client Engagement:

o Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships.

Innovation:

o Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology.

Nice to have Skills:

Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing.

Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau)

Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).

Experience with cloud platforms and MLOps practices.

Project management skills to lead initiatives effectively.

Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases.

Experience Educational Qualifications:

Minimum of 5+ years of experience solving complex machine learning problems.

At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas.

Minimum of 1 year leading and managing ML projects end-to-end.

Bachelor s degree in computer science, Data Science, or related field (Master s/PG in AI/ML/DS preferred).