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Weekend Remote Data Scientist Jobs in Reston, VA

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification efforts across federal job series. The incumbent will apply advanced data analysis, statistical modeling ...

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data ...

The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use of data and analytical modeling in critical company decision-making. This role is responsible for ...

As a Data Scientist, you will partner with college and university stakeholders to turn business ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and ...

We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT ... Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ...

We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT ... Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ...

Data Scientist

Washington, DC · On-site +1

$143.91K - $187.09K/yr

Summary This position serves as a Data Scientist in the Justice Management Division, Budget Staff, Budget Operations Group (BOG) located in Washington, DC. The purpose of this position is to serve as ...

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Contributions We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are ...

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Apply strong technical skills and a missionfocused mindset to understand client needs ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ...

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Showing results 1-20

Weekend Remote Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do weekend remote data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend remote data scientist in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Remote Data Scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.

What are Weekend Remote Data Scientists?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

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

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

What are popular job titles related to Weekend Remote Data Scientist jobs in Reston, VA? For Weekend Remote Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Weekend Remote Data Scientist jobs? Cities near Reston, VA with the most Weekend Remote Data Scientist job openings:
Infographic showing various Weekend Remote Data Scientist job openings in Reston, VA as of May 2026, with employment types broken down into 8% Locum Tenens, 15% As Needed, 31% Full Time, 8% Temporary, 30% Contract, and 8% Nights. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $127,692 per year, or $61.4 per hour.
Data Scientist

Data Scientist

Deltek, Inc.

Herndon, VA • On-site, Remote

$76K - $134K/yr

Other

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

08-Apr-2026

Sr Data Engineer

US (Remote)

10786BR

Company Summary

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities

Job Summary

As a Sr Data Engineer, you will design and implement robust data architectures for enterprise platforms, including data lakes, warehouses, and lakehouse solutions. You will build scalable data pipelines, ensure data quality and reliability, and drive modernization initiatives. Collaborating closely with data science and analytics teams, you will deliver advanced data solutions while supporting compliance and governance requirements. This role offers opportunities to mentor junior engineers, evaluate emerging technologies, and contribute to technical excellence across the organization.


Key Responsibilities

  • Design and implement data architecture for enterprise data platforms (data lakes, warehouses, lakehouse architectures).

  • Build scalable data pipelines using modern ETL/ELT frameworks (e.g., Airflow, DBT); ensure data quality, reliability, and performance.

  • Implement Change Data Capture (CDC) and real-time streaming solutions using technologies such as Kafka and Spark Streaming.

  • Optimize data infrastructure for performance and cost, including partitioning, compression, and caching strategies.

  • Establish data governance practices: data lineage, quality monitoring, schema management, and access controls.

  • Lead technical initiatives for data platform modernization; evaluate and adopt new technologies and tools.

  • Mentor junior data engineers, conduct code reviews, and establish best practices.

  • Collaborate with data science and analytics teams to deliver data solutions for advanced analytics.

  • Support compliance requirements for data security, privacy, and regulatory needs (e.g., GDPR, SOC2).

Qualifications

Required Qualifications

  • 5+ years of data engineering experience building large-scale data platforms on cloud infrastructure.

  • Extensive experience with cloud data platforms: AWS (Redshift, Glue, EMR, S3), Azure (Synapse, Data Factory, ADLS), or GCP (BigQuery, Dataflow, GCS).

  • Expertise in SQL; proficiency in Python or Scala; experience with Spark for distributed data processing.

  • Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or similar).

  • Experience with streaming platforms (Kafka, Kinesis, Pub/Sub) and event-driven architectures.

  • Deep knowledge of relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB).

  • Strong skills in dimensional modeling, data normalization, and schema design.

  • Experience with Infrastructure as Code tools (Terraform, CloudFormation, or similar).

  • Bachelor's degree in Computer Science, Engineering, or related field.

  • This position requires US Citizenship


Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or related field.

  • Experience with data compliance requirements (FedRAMP, ITAR, HIPAA).

  • Experience with lakehouse platforms (Databricks, Delta Lake).

  • Experience with CDC tools (GoldenGate, Debezium).

  • Oracle Cloud experience.

Career Interests

Engineering

Compensation Info

The U.S. salary range for this position is $76,000.00-$134,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.
Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.

Position Type

FT

Travel Requirements

No

Compliance Requirements

Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.

EEO Statement

Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

E-Verify Statement

Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security.

Applicant Privacy Notice

Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Job Expires

17-Mar-2027