Data Science Associate

Granules Pharmaceuticals, Inc.; Chantilly (VA); On-site; USD 65,000 - 68,000; Full time

Job summary

Granules Pharmaceuticals Inc. (GPI) in Chantilly, VA seeks a data analytics professional to conduct exploratory data analysis, clean data, build predictive models, and create dashboards for business stakeholders.

You will collaborate with cross-functional teams to enable analytics across operations and support system implementations. The role emphasizes applying ML basics, SQL, and cloud platforms to interpret data within business processes and KPIs, contributing to operational efficiency and

Qualifications

• Master’s degree preferred in a quantitative field.
• Bachelor’s degree in STEM with strong analytics coursework required.
• Coursework or projects in ML, statistics, data eng, optimization, or ops analytics.
• Exposure to cloud computing, databases, or biz analytics is a plus.
• Capstone, thesis, or applied research with hands-on data work preferred.

Responsibilities

• Perform exploratory data analysis to identify trends and opportunities.
• Data cleaning and preprocessing for modeling and reporting.
• Build and evaluate predictive models to support decisions.
• Create dashboards and reports to communicate insights to stakeholders.
• Collaborate with cross-functional teams on data pipelines and analytics enablement.
• Provide data-driven recommendations to improve operations and outcomes.
• Assist analytics tasks related to system implementations or upgrades.

Skills

Curiosity & Learning Mindset

Communication

Analytical Thinking

Machine Learning Fundamentals

Database Concepts

Cloud & Modern Data Platforms

Business & Operational Understanding

Education

Master’s Degree in Data Science, Analytics, Statistics, Computer Science, or related field

Bachelor’s Degree in STEM with strong analytical coursework

Tools

SQL

Python

R

AWS

Azure

GCP

Job description

Job Type

Full-time

Granules Pharmaceuticals Inc., (GPI)

is a subsidiary of Granules India LTD. Over the past 34 years, we have worked towards strengthening our core and we are currently the 10th fastest growing generic pharma company in the US!With our sites in Chantilly and Manassas, Virginia, we have R&D through manufacturing and packaging of our medicines including pulsatile drug release in tablet and capsule dosage form, orally disintegrating modified release tablets (XR, MR, ER), modified release suspension and controlled substances capabilities in an abuse deterrent technology platform.We are dedicated to excellence in manufacturing, quality, and commercialization of generic drugs to give customers reliable and affordable options. The Facility Maintenance Technician is responsible for carrying out necessary equipment, buildings and ground repairs (i.e., Boilers, chillers, compressors) including facility PMs, and utility operations associated with our facilities. Ensure the continued efficient operation of Granules Pharmaceuticals Inc. by providing service and support to all equipment, and all manufacturing areas in order to keep our facilities in compliance with GMP standards.

Responsibilities Include But Not Limited To

• Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities.
• Perform data cleaning and preprocessing to prepare datasets for modeling and reporting.
• Build and evaluate predictive models to support decision-making across operations.
• Create dashboards and reports for data storytelling to communicate insights to business stakeholders.
• Collaborate with cross-functional teams on data pipeline integration and analytics enablement.
• Provide data-driven recommendations that improve operational efficiency, accuracy, and business outcomes.
• Assist in analytics tasks related to system implementations, process changes, or technology upgrades.

Requirements

Required Experience & Education

• Master’s Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred
• Bachelor’s Degree in a STEM discipline with strong analytical coursework (required)
• Coursework or academic projects in machine learning, statistics, data engineering, optimization, or operations analytics.
• Exposure to cloud computing, database systems, or business analytics is a plus.
• Capstone, thesis, or applied research demonstrating hands-on data work is strongly preferred.

Required Knowledge & Skills

• Curiosity & Learning Mindset - eagerness to explore new tools, methods, and business domains.
• Communication - explaining technical concepts to non-technical stakeholders.
• Analytical Thinking - ability to break down complex problems into structured analytical steps.
• Machine Learning Fundamentals - regression, classification, clustering, model evaluation, and basic time-series concepts.
• Database Concepts - relational databases, SQL querying, joins, indexing, and basic data modelling.
• Cloud & Modern Data Platforms - familiarity with AWS, Azure, or GCP services for analytics
• Business & Operational Understanding - ability to interpret data in the context of business processes, KPIs, and operational goals.

Salary Description

$65K-$68K