Lead Data Scientist - Python

• 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)