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Weekend Data Science Jobs in New Market, MD (NOW HIRING)

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Data Scientist

Rockville, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

Data Scientist

Gaithersburg, MD · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and ...

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Data Scientist

Gaithersburg, MD · On-site

$92K - $115K/yr

Master's degree in computer science or related field (required) Experience : * At least one-year ... data science and machine learning, evidenced through Github or other open software repositories

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Showing results 1-20

Weekend Data Science information

See New Market, MD salary details

$35.6K

$116.5K

$186.5K

How much do weekend data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend data science in New Market, MD is $116,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

What are popular job titles related to Weekend Data Science jobs in New Market, MD?

For Weekend Data Science jobs in New Market, MD, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in New Market, MD look for?

The top searched job categories for Weekend Data Science jobs in New Market, MD are:

What cities near New Market, MD are hiring for Weekend Data Science jobs?

Cities near New Market, MD with the most Weekend Data Science job openings:

Infographic showing various Weekend Data Science job openings in New Market, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,487 per year, or $56 per hour.

Associate Director of Data Science

Blend360

Columbia, MD

$58K - $59K/yr

Full-time

Re-posted 22 days ago


Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.

  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.

  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.

  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.

  • Mentor and guide team members, fostering growth and knowledge sharing.

  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.

  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.

  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.

  • Hands-on programming experience with Python and SQL.

  • Demonstrated leadership and team management skills.

  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:

  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.

  • Project management experience and familiarity with Azure cloud infrastructure.

  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:

  • Opportunity to lead cutting-edge AI projects across diverse industries.

  • Work with a collaborative, high-performing team of data scientists and engineers.

  • Influence the strategic direction of AI initiatives within the organization.