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Weekend Data Science Jobs in New York (NOW HIRING)

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished ...

Title :- Data Science / ML Location: Morris Plains, NJ Must have: * 2-4 years' experience ideally in Healthcare ( Mid-level Data Science) * Proficiency Python or R * Cloud based technology experience

Title :- Data Science / ML Location: Morris Plains, NJ Must have: * 2-4 years' experience ideally in Healthcare ( Mid-level Data Science) * Proficiency Python or R * Cloud based technology experience

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

Associate, Data Science

New York, NY

$64K - $65K/yr

Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a ...

New

About The Role You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and real ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

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Weekend Data Science information

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 New York?

The most popular types of Data Science jobs in New York are:

What cities in New York are hiring for Weekend Data Science jobs?

Cities in New York with the most Weekend Data Science job openings:

Infographic showing various Weekend Data Science job openings in New York as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 85% In-person, and 15% Remote job distribution.

Director, Data Science

Optimize Partners

New York, NY • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Optimize Partners provides IT staffing solutions to tech startups and Fortune 500 companies in the New York metro area, and beyond. One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects.


Responsibilities:

  • As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of complex data projects, and also work externally with bank and other financial services partners.
  • Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed
  • Establish Data Science role models and best practices in the organization
  • Communicating data driven insights to business audiences through simple visualization
  • Make data driven recommendations to improve operational efficiencies in underwriting, marketing, and sales


Qualifications:

  • 4-year degree; advanced degree or post-doctoral preferred.
  • At least 3 years of experience in managing a team of Data Scientists.
  • Overall 10+ years of experience with data science, credit risk management experience is a definite plus
  • 2-4 years of credit risk modeling experience
  • 2+ years of experience with Python programming
  • Extensive, hands-on experience with relevant methodologies in classical statistics, big data, supervised and unsupervised learning models with emphasis on communicating the analysis to business audiences through visual and other methods.
  • Prior experience to creating and allocating relevant individual workstreams to data science team members and be able to synthesize team efforts and prepare succinct presentations to C-level and to the Credit Risk Committee.
  • Ability to interact effectively and independently with other functional units, such as underwriting, marketing, sales, and software developers to address their analytical needs in a time-sensitive environment.
  • Strong conceptual thinking skills, highly motivated, outcome-focused, dynamic, and capable of guiding and inspiring their team to perform at a high level.


What to Expect, If Hired

  • Health, Vision and Dental Insurance
  • 401(k) retirement savings plan, with Employer match
  • Unlimited Paid Time Off
  • Hybrid work location