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Data Science Assistant Jobs (NOW HIRING)

Granules

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

... * Assist in analytics tasks related to system implementations, process changes, or technology ... Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative ...

campus4tech

Data Scientist

Manhattan, NY · On-site

Leverage GenAI/Data Assist tools to accelerate data science workflows. * Collaborate with stakeholders to align models with business outcomes. * Build and refine machine learning models under ...

Equation Staffing

VP of Data Science

Manhattan, NY · On-site

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven ... assist with data-related technical issues and support their data infrastructure needs. · Manage ...

Socket.dev

Data Science & Analytics Specialist

Bath, OH · On-site

$90 - $130/hr

Responsibilities * Assist in developing and refining analytic workflows that operate on large ... Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field ...

New

Figma

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma ... Proven experience building or measuring AI products, ideally LLM-powered assistants, agents ...

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Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

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Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in the United States as of August 2026, with employment types broken down into 6% Internship, 79% Full Time, 9% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Data Science Associate

Granules Pharmaceuticals

Chantilly, VA • On-site

$65K - $68K/yr

Full-time

Posted 14 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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