Lead Data Scientist

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.

*__Experience & Educational Qualifications:__*

· Minimum of 6+ years of experience solving complex machine learning problems.

· At least 3+ years of hands-on experience in each of the chosen Core Excellence Areas.

· Minimum of 2 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).

*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 - (5 years of experience)

· Experience developing APIs using Flask or Fast API frameworks – (3 years of experience)

· Integration knowledge with front-end applications – (3 year of experience)

· Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - (4 years of experience)

· Familiarity with task management tools (e.g., Jira, Azure DevOps) - (3 years of experience)

· Proficiency in databases, including SQL, NoSQL and vector databases – (3+ years of experience)

· Working knowledge of ML pipelines and CI/CD.

· Experience with at least one of the cloud platforms (Azure, AWS, GCP) - (3+ 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):

NLP

Generative AI (NLP)

Computer Vision

Time Series Forecasting

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.