ZipRecruiter

Log In

1

Weekend Data Science R Jobs in Bowie, MD (NOW HIRING)

PotomacWave

Data Scientist

Washington, DC · On-site

This role will lead the development and implementation of advanced data science algorithms, machine ... Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS ...

TAD PGS, Inc.

Data Scientist

Washington, DC

$52.88 - $57.69/hr

... science tools such as scripting (SQL, R, Python, etc.) into existing and new services to ... Works on data collection for regular and ad-hoc data calls for internal and external customers ...

TAD PGS, Inc

Data Scientist

Washington, DC

$52.88 - $57.69/hr

... science tools such as scripting (SQL, R, Python, etc.) into existing and new services to ... Works on data collection for regular and ad-hoc data calls for internal and external customers ...

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

This role will lead the development and implementation of advanced data science algorithms, machine ... Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS ...

AnaVation LLC

Data Scientist

Washington, DC · On-site

... hands-on data science or analytics experience • Minimum active Secret clearance with TS/SCI strongly preferred • Advanced experience using Excel, Python, R, and Tableau to ingest, clean ...

Encore Vet Group

Data Scientist III

College Park, MD · On-site

... in data science, you will provide technical literacy on Department of War technology areas to ... Contribute to safeguarding the nation's Research & Engineering (R&E) technology ecosystem. Identify ...

Noblis

Data Scientist (Multiple Levels)

Washington, DC · On-site

Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI). * Strong understanding of data pipelines, data governance ...

Advent Services LLC

Data Scientist

Washington, DC · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master's preferred). Strong proficiency in programming languages such as Python or R.

Advent Services

Data Scientist

Washington, DC · Remote

Bachelors degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Masters preferred). Strong proficiency in programming languages such as Python or R.

next page

Showing results 1-20

People also search for

All JobsWeekend Data Science R JobsWeekend Data Science R Jobs in Bowie, MD

Weekend Data Science R information

See Bowie, MD salary details

$36.2K

$118.5K

$189.7K

How much do weekend data science r jobs pay per year?

As of May 31, 2026, the average yearly pay for weekend data science r in Bowie, MD is $118,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.
Weekend Data Science R jobs near you
Data Scientist

Data Scientist

PotomacWave

Washington, DC • On-site

Full-time

Posted 17 days ago

Job description

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes.
Responsibilities:
  • Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.
  • Design and implement advanced data collection, mining, clustering analysis, pattern recognition, and trends analysis techniques to develop actionable intelligence and inform strategic decisions.
  • Collaborate closely with analysts to build robust prototypes, prove complex concepts, and facilitate the widespread adoption of cutting-edge data science technologies and methodologies within the office.
  • Champion enterprise innovation, significantly increasing data awareness, and demonstrate the transformative value of advanced analytics and data visualization.
  • Stay abreast of bleeding-edge technology standards, industry trends, emerging technologies, and software development best practices, incorporating them into actionable strategies.
  • Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS, and Spark to analyze high volumes of data, reveal hidden patterns, and create compelling data narratives.
  • Lead the design and build of complex algorithms and machine learning models throughout the entire development lifecycle, ensuring scalability and operational effectiveness.
  • Evaluate and recommend advanced training opportunities, fostering a culture of continuous learning and skill development within the team.
  • Develop and codify structured processes for data-driven decision-making, leading initiatives to improve readership, feedback mechanisms, and overall analytic throughput.
  • Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements.
  • Partner with cross-functional teams to meticulously document complex requirements, strategically leverage existing capabilities, and deliver high-impact products to customers.
  • Combine rigorous scientific method, advanced mathematics, statistics, specialized programming, and compelling storytelling to uncover deeply actionable insights and communicate them effectively.
  • Review mission needs, leading the evaluation of policy and program effectiveness through a data-centric lens.
  • Lead participation in enterprise-wide data science projects involving highly innovative approaches where precedents may not exist, setting new standards for the organization.
Qualifications:
  • A bachelor’s degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master’s degree is preferred.
  • A professional certification in data science is required.
  • A minimum of four (4) years of experience in a data science related field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $125,000 - $155,000
 

Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

Powered by JazzHR

SySDcwP3mc