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Weekend Data Science Jobs in Garfield, NJ (NOW HIRING)

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize ...

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 ...

Associate Director, Data Science

New York, NY · 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 ...

Associate Director, Data Science

New York, NY · Hybrid

$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 ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

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 · On-site

$177K - $350K/yr

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 · On-site

$177K - $350K/yr

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.

Senior Expert Data Science

East Hanover, NJ · Hybrid

$138K - $257K/yr

As a Senior Expert Data Science within the Data and Statistical Sciences team, you will partner with development scientists, process engineers and cross-functional teams to strengthen process and ...

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Showing results 21-40

Weekend Data Science information

See Garfield, NJ salary details

$38.6K

$126.4K

$202.4K

How much do weekend data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data science in Garfield, NJ is $126,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,100.00 per year, depending on experience, location, and employer.

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 popular job titles related to Weekend Data Science jobs in Garfield, NJ?

For Weekend Data Science jobs in Garfield, NJ, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Garfield, NJ look for?

The top searched job categories for Weekend Data Science jobs in Garfield, NJ are:

What cities near Garfield, NJ are hiring for Weekend Data Science jobs?

Cities near Garfield, NJ with the most Weekend Data Science job openings:

Vice President, Data Science

Burson

New York, NY

Full-time

Posted 8 days ago


Job description

More about the role:

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding, predictive modeling, and AI-powered initiatives that help clients solve complex business, communications, reputation, and stakeholder challenges.

This is an opportunity to operate at the intersection of data, technology, AI, and communications, leading high-impact programs that transform complex datasets into actionable insights, predictive intelligence, and measurable business outcomes. You will serve as a senior advisor to clients and internal stakeholders, delivering scalable analytics solutions that influence decision-making, communications strategy, audience targeting, impact measurement, and broader business objectives.

The ideal candidate combines deep technical expertise with strong consulting and client leadership skills. They are equally comfortable architecting sophisticated data solutions, guiding executive-level conversations, mentoring technical teams, and identifying opportunities to expand Burson's analytics and AI capabilities.

What you'll do:
  • Lead end-to-end delivery of advanced data science, predictive analytics, and data engineering engagements, overseeing scope, timelines, budgets, and client expectations.
  • Serve as a senior client counselor and strategic advisor, translating complex technical findings into clear, actionable business recommendations for executive stakeholders.
  • Design, develop, and deploy predictive models, including forecasting, time-series analysis, marketing mix modeling (MMM), machine learning, and AI-driven solutions.
  • Architect scalable data pipelines, cloud-based data environments, AI-enabled infrastructure, and production-ready analytics solutions.
  • Develop analytics frameworks that connect communications, marketing, reputation, and business performance data to measurable outcomes.
  • Integrate predictive outputs, machine learning capabilities, and advanced analytics into client-facing dashboards, reporting environments, and decision-support tools.
  • Lead the development of innovative AI and analytics applications that improve efficiency, uncover new insights, and create competitive advantages for clients.
  • Ensure analytical rigor, data governance, quality assurance, security, and compliance across all projects and deliverables.
  • Oversee and mentor data scientists, engineers, analysts, and technical specialists while promoting best practices in coding, modeling, and solution architecture.
  • Guide the development of executive-level presentations, strategic recommendations, dashboards, and data-driven storytelling initiatives.
  • Contribute to the growth of the practice by identifying new opportunities, strengthening client relationships, supporting business development efforts, and expanding Burson's data science and AI capabilities.
  • Champion the responsible, ethical, and effective use of AI across analytics workflows and client engagements.
Experience that contributes to success:
  • 8+ years of experience in data science, analytics, data engineering, machine learning, predictive modeling, or a related field, with experience leading teams and complex client engagements.
  • Demonstrated experience leading large-scale analytics, AI, and data science initiatives in agency, consulting, communications, marketing, technology, or related client-service environments.
  • Proven ability to manage senior client relationships and communicate complex technical concepts to executive and non-technical audiences.
  • Deep expertise in predictive modeling, statistical analysis, machine learning, forecasting, and advanced analytics methodologies.
  • Strong experience designing and managing cloud-based data platforms, scalable ETL/ELT processes, and modern data architectures.
  • Advanced proficiency in Python, SQL, R, and other relevant analytics and data science technologies.
  • Experience developing and deploying production-ready analytics solutions, AI applications, and predictive models.
  • Dashboarding and data visualization expertise using platforms such as Tableau, Power BI, Looker, or similar technologies.
  • Experience integrating data from multiple sources to create holistic measurement frameworks and business intelligence solutions.
  • Strong communication and presentation skills, with the ability to translate complex datasets into compelling insights and strategic recommendations.
  • Proven ability to manage multiple workstreams simultaneously while maintaining exceptional attention to detail and quality.
  • Experience mentoring and developing technical talent while fostering a collaborative, high-performance culture.
  • Familiarity with emerging AI, generative AI, and large language model (LLM) technologies and their practical business applications.
  • Collaborative, proactive, and solutions-oriented mindset with a strong sense of ownership and accountability.

Bonus Qualifications

  • Experience applying advanced analytics and AI solutions within communications, public relations, marketing, media, customer intelligence, or reputation management environments.
  • Expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with MLOps, model deployment, data governance, and enterprise-scale analytics infrastructure.
  • Familiarity with AI-enabled research tools, generative AI applications, and emerging technologies shaping the future of analytics and insights.
  • Experience contributing to business development, solution innovation, thought leadership, and practice growth initiatives.

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Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.Â