Lead Data Scientist

Job Description

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.