Senior Data Scientist
Summary
Senior Data Scientist in Pune owning end-to-end delivery of machine learning, deep learning, and NLP/text analytics solutions, including text generation, RAG pipelines, and multi-agentic AI, while mentoring junior team members. Core stack: Python, TensorFlow/PyTorch, Hugging Face Transformers, and cloud platforms.
Role - Sr. Data Scientist
Role Summary
We are seeking a Senior Data Scientist with 4-6 years of
hands-on experience in developing machine learning and deep learning models,
with a strong focus on text analytics and Natural Language Processing (NLP).
The ideal candidate will be responsible for end-to-end
ownership - from understanding requirements to designing, developing, and
delivering scalable AI solutions. You'll work on cutting-edge projects
involving NLP, text analytics, and text generation, while mentoring junior team
members and contributing to the innovation culture at ChiStats.
Requirements
Key Responsibilities:
- Collaborate with cross-functional stakeholders to gather
and translate business requirements into technical solutions.
- Design and implement innovative machine learning and deep
learning solutions, particularly in NLP and text analytics.
- Build, train, and validate models for text analytics, NLP,
and text generation tasks.
- Perform exploratory data analysis, feature engineering,
and statistical modeling.
- Evaluate model performance and conduct experiments for
optimization and fine-tuning.
- Communicate findings, insights, and technical concepts
clearly to both technical and non-technical audiences.
- Stay current with advancements in machine learning, NLP,
and GenAI technologies.
- Mentor and guide junior team members, promoting a culture
of technical excellence and collaboration.
Required Skill Set :
- Strong analytical and problem-solving skills.
- Bachelor's or Master's degree in Data Science, Statistics,
Mathematics, Computer Science, or related fields.
- Proven expertise in text analytics, NLP, machine learning,
and deep learning.
- Proficient in Python and associated libraries (NumPy,
Pandas, Scikit-learn, NLTK, spaCy).
- Hands-on experience with deep learning frameworks such as
TensorFlow or PyTorch.
- Experience using Hugging Face Transformers for training,
fine-tuning, and validation.
- Strong understanding and practical experience with models
like BERT, T5, BART, or FLAN-T5.
- Experience in hyperparameter tuning and model optimization
in at least one real-world project.
- Experience designing RAG pipelines and multi-agentic AI
solutions.
- Exposure to cloud platforms (AWS, Azure, or GCP) for model
deployment.
Good-to-Have Skill Set :
- In-depth understanding of transformer architectures and
advanced NLP techniques.
- Experience working with generative models (e.g., GANs,
VAEs, GPT).
- Familiarity with LangChain, LlamaIndex, or related GenAI
development frameworks.