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Data Science Associate Jobs in Hyattsville, MD (NOW HIRING)

Granules

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

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 ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

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All JobsData Science Associate JobsData Science Associate Jobs in Hyattsville, MD

Data Science Associate information

See Hyattsville, MD salary details

$57.6K

$68.2K

$129.3K

How much do data science associate jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science associate in Hyattsville, MD is $68,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $59,600.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Hyattsville, MD?

The most popular types of Data Science jobs in Hyattsville, MD are:

What job categories do people searching Data Science Associate jobs in Hyattsville, MD look for?

The top searched job categories for Data Science Associate jobs in Hyattsville, MD are:

What cities near Hyattsville, MD are hiring for Data Science Associate jobs?

Cities near Hyattsville, MD with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Hyattsville, MD as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,196 per year, or $32.8 per hour.

Data Science Associate

Granules Pharmaceuticals

Chantilly, VA

$65K - $68K/yr

Full-time

Posted 6 days ago

Job description

Description

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.

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