Data Scientist, Digital Products

US Pharmacopeia; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Company-paid time off

Comprehensive healthcare options

Retirement savings

Job summary

US Pharmacopeia is hiring a full-time Data Scientist in Hyderabad to drive innovation in AI and machine learning. This role involves designing and deploying AI/ML models to solve business and scientific challenges, collaborating on large datasets, and translating complex insights for stakeholders. Candidates should possess a relevant Bachelor’s degree and 0-3 years of experience with Generative AI, Python, and SQL. Benefits include comprehensive healthcare and company paid time off.

Qualifications

• 0–3 years in data science with a focus on AI.
• Hands-on experience with Generative AI and LLMs.
• Strong programming skills in Python and PySpark.

Responsibilities

• Design and deploy AI/ML models for business problems.
• Collaborate with data engineers to prepare datasets.
• Conduct exploratory data analysis and feature engineering.

Skills

AI/ML

Python

SQL

Data Visualization

Generative AI

Deep Learning

Cloud Platforms

Stakeholder Collaboration

Education

Bachelor’s degree in engineering, analytics, data science, computer science, or statistics

Tools

TensorFlow

PyTorch

scikit-learn

Power BI

Tableau

MLflow

Kubeflow

Hugging Face Transformers

Job description

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 equals excellence is reflected in our core value of Passion for Quality and in the work of more than 1,100 professionals across five global locations who strengthen the supply of safe, quality medicines and supplements worldwide.

Brief Job Overview

The Digital Product Engineering team at USP seeks a Data Scientist with expertise in AI, ML, and Generative AI to drive innovation and data‑driven decision‑making. This role supports projects that protect patient safety and improve health worldwide.

Responsibilities

• Design, develop, and deploy AI/ML models to solve business and scientific problems, with a focus on Generative AI applications.
• Collaborate with data engineers to access, clean, and prepare large‑scale datasets for modeling and experimentation.
• Conduct exploratory data analysis, 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.

Qualifications

Education

Bachelor’s degree in engineering, analytics, data science, computer science, statistics, or equivalent experience.

Experience

• 0–3 years in data science, with a strong focus on AI, including ML, deep learning, and reinforcement learning.
• Hands‑on experience with Generative AI, including LLMs, RAG, prompt engineering, and vector databases such as FAISS or Pinecone.
• Strong programming skills in Python and PySpark; proficiency in scikit‑learn, TensorFlow, PyTorch, and Hugging Face Transformers.
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience with data visualization tools such as Power BI, Tableau, or Plotly to communicate insights.
• Knowledge of model evaluation, interpretability, and deployment in production environments.
• Familiarity with cloud platforms such as Azure, AWS, or GCP for AI/ML workloads.
• Collaborated with various stakeholders, including business owners, product and program managers, architects, and engineering leads, to translate business needs into well‑documented data science solutions.

Additional Desired Preferences

• Experience with scientific chemistry nomenclature or prior work in life sciences, chemistry, or hard sciences.
• Experience with pharmaceutical datasets and nomenclature.
• Experience with MLOps tools and practices such as MLflow, Kubeflow, or Azure ML.
• Strong communication skills: verbal, written, and interpersonal.

Supervisory Responsibilities

No.

Benefits

USP provides company‑paid time off, comprehensive healthcare options, and retirement savings, supporting both personal and financial wellbeing.

Job Category

Information Technology

Job Type

Full‑Time