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Weekend Data Science Jobs in Ashburn, VA (NOW HIRING)

TULK llc.

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago Requisition ID: 1763 Salary Range: $115,000.00 To $157,938.00 Annually Data Science SME Mid TULK supports ...

New

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

Booz Allen Hamilton

Data Science Engineer, Lead

Mclean, VA · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Science Engineer, Lead As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Socket.dev

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

Responsible for applying data science techniques for cybersecurity solutions. * May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

The role involves applying data science techniques, particularly in cybersecurity solutions, to analyze data, create visualizations, and support data management efforts. Responsibilities : • A Data ...

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Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Ashburn, VA

Weekend Data Science information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

How much do weekend data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend data science in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Ashburn, VA?

The most popular types of Data Science jobs in Ashburn, VA are:

What are popular job titles related to Weekend Data Science jobs in Ashburn, VA?

For Weekend Data Science jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Ashburn, VA look for?

The top searched job categories for Weekend Data Science jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Weekend Data Science jobs?

Cities near Ashburn, VA with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Data Science Associate

Granules Pharmaceuticals

Chantilly, VA • On-site

$65K - $68K/yr

Full-time

Posted 12 days ago

Job description

Job Type
Full-time
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.

Salary Description
$65K-$68K

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