Data Science Manager

Job Title: Data Science Manager

Location: Pune, India

Experience: 8-10 Years

Job Description:

We are seeking an experienced and highly motivated Data Science Manager to lead our data analytics team in Pune. The ideal candidate will have a strong background in data science with a proven track record of managing and mentoring a team of data scientists. He/She should have a deep understanding in the field of machine learning, natural language processing, deep learning, language chains, and generative AI.

Key Responsibilities:

1. Manage and guide a team of data scientists to design and implement advanced statistical testing for scalable predictive models. 2. Lead the development and execution of machine learning algorithms using supervised and unsupervised learning. 3. Utilize SQL, Python, and PySpark for data extraction, manipulation, and analysis. 4. Improve the efficiency of our existing machine learning models and update them as per the latest technological advancements. 5. Work on deep learning and natural language processing projects, including but not limited to transformer models, language chain models, and generative AI models. 6. Leverage large language models (LLM) to enhance the capabilities of our AI platform. 7. Collaborate with cross-functional teams, including engineering, product management, and marketing, for the effective deployment of machine learning models. 8. Understand business problems, translate them into a data context, and provide insights and solutions. 9. Work with GPUs and hardware accelerations to optimize the performance of machine learning models. 10. Use evaluation frameworks to measure the performance of the models and make necessary adjustments.

Skills and Qualifications:

1. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. 2. 8-10 years of experience in Data Science, with a minimum of 3 years of experience in a managerial role. 3. Strong proficiency in SQL, Python, and PySpark. 4. Extensive knowledge in supervised and unsupervised machine learning, deep learning, and natural language processing. 5. Experience with language chains, generative AI, and large language models (LLM). 6. Familiarity with GPUs and hardware accelerations for the optimization of machine learning models. 7. Excellent leadership and team management skills. 8. Strong communication and problem-solving skills.

Data Science, Generative Ai, LLM, Langchain, RAG