Data Scientist (PhD in Statistics / AI)

Greetings from TCS!!!!

Data Scientist (PhD in Statistics / AI)

Experience – 10+ years

Location - PAN India

Mode of Interview - Berribot

Job Requirements*

< · 10+ years of experience

. 3+ years of experience (post-PhD or during PhD/postdoc) developing production-grade ML/applied mathematics/Statistics/relevant field

. Strong knowledge of statistical analysis, machine learning, and deep learning

. Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs)

. Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.

. Implementing MLOps, LLMOps, AgentOps practices for model or agent deployment, monitoring, and management.

. Conduct applied research in areas such as NLP, time-series, reinforcement learning, computer vision, or multimodal learning.

. Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).

. Proficiency in production implementation of AI models in NLP, Vision, Forecasting streams.

. Experience in developing and deploying AI/Gen AI based systems in production.

. Knowledge of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit

. Publish articles/blogs in internal and external forums

· Mentoring junior data scientists and providing technical guidance.>

Key Responsibilities*

< - Data Collection and Preparation

- Exploratory Data Analysis (EDA)

- Model Development and Predictive Analytics

- Deployment and MLOps Integration

- Communication and Collaboration >

Job Qualifications & Skills

- Banking, Financial Services, and Insurance (BFSI)

- Communication, Media, and Information Services (CMI)

- Life Sciences and Healthcare (LSHC)

- Manufacturing

- Energy, Resources, and Utilities (ERU)

- Public Services

- Technology Software Services (Tech SS)

Soft Skills

- Communication & Data Storytelling

- Collaboration & Teamwork

- Critical Thinking & Problem-Solving

- Adaptability & Continuous Learning

- Business Acumen & Ethical Awareness

- Time Management & Professionalism

Education Requirements

PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, Statistics, Data Science, Analytics, or a related field.

Certifications

AWS Certified Machine Learning – Specialty

AWS Certified Solutions Architect – Associate

Microsoft Certified: Azure Data Scientist Associate

Microsoft Certified: Azure AI Engineer Associate

Google Cloud Professional Machine Learning Engineer