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Weekend Data Science Jobs in New York (NOW HIRING)

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Data Science Advisor - Hybrid

Morris Plains, NJ ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Vice President, Data Science

New York, NY ยท On-site

$177K - $350K/yr

  • Medical

  • Retirement

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Vice President, Data Science

New York, NY ยท On-site

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Vice President, Data Science

New York, NY ยท On-site

$177K - $350K/yr

  • Medical

  • Retirement

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Associate Director, Data Science

New York, NY ยท On-site

$64K - $65K/yr

Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media ...

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

Vice President, Data Science

New York, NY

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Vice President, Data Science

New York, NY

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Vice President, Data Science

Manhattan, NY ยท On-site

$177K - $350K/yr

  • Medical

  • Retirement

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

Showing results 21-40

Weekend Data Science information

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 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 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Vice President, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY โ€ข On-site

$163K - $261K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Groupe Solutions is an accelerant at the center of the Groupe. Made up of audience
strategists, data scientists, and analytics practitioners, Groupe Solutions will partner with
Groupe leaders to win or retain strategic accounts, and serve as business owners of CoreAI.
Overview
The VP, Data Scientist at Alpha Labs will collaborate with audience strategist and marketing
technologists to identify and activate data driven applications across a connected
consumer journey. This role will operate at the leading edge of new business pursuits and
strategic innovation-uncovering white space opportunities and architecting breakthrough,
data-driven audience solutions that differentiate Publicis Groupe in the market.
The VP, Data Scientist will partner across the broader company to spearhead
groundbreaking AI-driven advertising solutions. This includes contributing thinking on new
business pitches and key client engagements to innovate never-been-done-before
solutions. Collaborating with Groupe Solutions leads and business development teams to
employ Publicis AI products and exclusive data tools.
Responsibilities
The ideal candidate will:
  • Partner with Audience Strategy leads to identify and model audience whitespace
  • opportunities using first- and third-party data, syndicated research, and behavioral
    signals.
  • Design and deploy predictive segmentation, targeting, and measurement models to
    fuel innovative campaign strategies and new business pursuits.
  • Build Python-based data science solutions and deploy to Databricks, AWS and Azure
    environments to scale strategic audience solutions.
  • Translate complex datasets into compelling visualizations, frameworks, and
    narratives that differentiate Publicis Groupe in competitive pitch environments.
  • Collaborate with creative, media, and technology partners to embed data science
    outputs into end-to-end communication planning.
  • Evolve and co-develop proprietary audience intelligence tools in collaboration with
    CoreAI, enhancing Groupe-level product innovation.
  • Actively contribute to strategic responses in RFPs and pursuits-applying data
    science to unlock bold, bespoke audience experiences.

Your Impact:
  • Strategic Edge in New Business: Use machine learning and advanced modeling to
    drive white space identification and predictive audience planning that wins pitches.
  • Innovation Engine: Help architect new solutions that blend AI, insight, and data
    storytelling into a differentiating market position.
  • Collaboration Catalyst: Act as a bridge between technical development and
    strategic application-making complex models understandable and actionable for
    stakeholders.
  • Product Builder: Shape the future of Publicis' audience intelligence and data science
    products alongside product and business development teams.

Qualifications
  • 7-10 years of experience in Python programming and data analysis (Pandas, NumPy,
    Scikit-learn), ideally within a media, marketing, or tech context.
  • Advanced skills in regression, predictive modeling, statistical inference, and
    experimental design.
  • Familiarity with Marketing Mix Models, attribution techniques, and consumer
    behavior datasets.
  • Experience visualizing insights for C-level or new business audiences; ability to
    translate data into decision-making tools.
  • Proven experience deploying applications and models into cloud environments,
    Databricks experience a plus.
  • Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments (e.g., pitch rooms, RFP war rooms).

Additional Information
Our Publicis Groupe motto "Viva La Diffรฉrence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $163,210 - $261,660 Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be September 10th, 2025.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-RM3
#DNI
Compensation Range: USD $ - . This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/14/2025.