Lead Data Scientist - Python

Job Description

• Proficiency with Python (Pandas, NumPy), SQL, and Java.
• Experience with LLMs, LangChain, and Generative AI technologies.
• Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
• Microservices, CI CD, ML
• Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
• Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
• Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
• Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
• Work in a team / Independently.
• Excellent Written & Verbal Communication Skills
• Solid critical thinking and questioning skills.
• High degree of flexibility - willing to fill in the gaps rather than relying on others
• Strong communication skills, especially in presenting data insights.
• Flexibility, problem-solving, and a proactive approach in a fast-paced environment

(ref : hirist.tech)

Skills Required

Java, Machine Learning, Segmentation, Bi Tools, Api Development, Kafka, Sql, Microservices, Tensorflow, Personalization, Numpy, Nlp, Pytorch, Pandas, Spark, Etl Tools, Recommender Systems, Python