Data Scientist, Digital Products

USP Brand; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Healthcare options

Retirement savings

Company-paid time off

Job summary

USP is seeking a Data Scientist for the Digital Product Engineering team to lead AI/ML initiatives, including Generative AI, LLMs, and RAG. You will work with data engineers to prepare large datasets, perform advanced modeling, and drive data-driven decisions across stakeholders.

Ideal candidates have 1–3 years in data science, strong Python/PySpark skills, and hands-on experience with AI/ML libraries, cloud platforms, and data visualization tools.

Qualifications

• 1–3 years of data science experience with a strong AI/ML/DL/RL focus.
• Hands-on Generative AI experience including LLMs, RAG, prompt engineering, and vector databases.
• Proficient in Python and PySpark; working knowledge of ML libraries (scikit-learn, TensorFlow, PyTorch, Transformers).
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience with data visualization tools (Power BI, Tableau, Plotly).
• Understanding of model evaluation, interpretability, and production deployment.
• Familiarity with cloud platforms (Azure, AWS, GCP) for AI/ML workloads.
• Ability to translate business needs into data science solutions with stakeholders.

Responsibilities

• Design, develop, and deploy AI/ML models, with emphasis on Generative AI applications.
• Collaborate with data engineers to access, clean, and prepare large-scale datasets for modeling.
• Conduct EDA, hypothesis tests, and feature engineering to support model development.
• Evaluate model performance and iterate for accuracy, robustness, and fairness.
• Translate complex analytical findings into actionable insights for product, engineering, and business teams.

Skills

AI

ML

Deep Learning

Reinforcement Learning

Generative AI

LLMs

RAG

Prompt engineering

Vector databases

Python

PySpark

scikit-learn

TensorFlow

PyTorch

Hugging Face Transformers

SQL

Data visualization

Power BI

Tableau

Plotly

Azure

AWS

GCP

Education

Bachelor’s degree in Engineering/Analytics/Data Science/CS/Statistics

Tools

FAISS

Pinecone

MLflow

Kubeflow

Azure ML

Job description

Who is USP?

The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,100 talented professionals across five global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.

Brief Job Overview

The Digital Product Engineering team at USP is seeking a Data Scientist with expertise in artificial intelligence (AI), machine learning (ML), and Generative AI (GenAI) to drive innovation and data-driven decision-making. This role is critical to supporting projects that align with our mission to protect patient safety and improve the health of people around the world.

We are looking for a professional who understands the power of data and enjoys uncovering insights through advanced modeling, experimentation, and the application of cutting-edge AI techniques. The ideal candidate will be passionate about solving complex problems using data, developing intelligent systems, and leveraging GenAI approaches such as Retrieval-Augmented Generation (RAG), prompt engineering, and large language models (LLMs) to deliver impactful solutions across the organization.

How will YOU create impact here at USP?

The position's purpose should provide a high-level overview of why the position exists and briefly identify the most critical priorities of the position. This is an opportunity to highlight any features or duties of the role related explicitly to the Diversity, Equity, Inclusion & Belonging work of the Department.

• Design, develop, and deploy AI/ML models to solve business and scientific problems, with a focus onGenerative AIapplications.
• Collaborate with data engineers to access, clean, and prepare large-scale datasets for modeling and experimentation.
• Conduct exploratory data analysis (EDA), hypothesis testing, and feature engineering to support model development.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy, robustness, and fairness.
• Translate complex analytical findings into clear, actionable insights for stakeholders across product, engineering, and business teams.

Who USP is Looking For?

The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience:

Education

Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience.

Experience

• 1-3 years of experience in data science, with a strong focus onArtificial Intelligence (AI), includingMachine Learning (ML),Deep Learning, andReinforcement Learning.
• Hands-on experience withGenerative AI, includingLLMs,RAG,prompt engineering, andvector databases(e.g., FAISS, Pinecone).
• Strong programming skills in Python, PySpark. Proficiency inML libraries such asscikit-learn,TensorFlow,PyTorch,Hugging Face Transformers, etc.
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience withdata visualizationtools (e.g., Power BI, Tableau, Plotly) to communicate insights effectively.
• Strong understanding of model evaluation, interpretability, and deployment in production environments.
• Familiarity with cloud platforms such asAzure,AWS, orGCP for AI/ML workloads.
• Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented data science solutions.

Additional Desired Preferences

• Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences
• Experience with pharmaceutical datasets and nomenclature
• Experience withMLOpstools and practices (e.g., MLflow, Kubeflow, Azure ML)
• Strong communication skills required: Verbal, written, and interpersonal

Supervisory Responsibilities:

No

Benefits

USP provides you with the benefits you need to protect yourself and your family today and tomorrow. From company-paid time off, comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial wellbeing is protected.