ZipRecruiter

Log In

1

Weekend Data Science Jobs in Albany, NY (NOW HIRING)

Excelsior College

Sr Data Scientist

Albany, NY · On-site

$85 - $95/hr

The data science center leads the development and implementation of machine learning and AI solutions that improve university operations and student outcomes. This role will focus on building ...

Versant Health, Inc.

Senior Data Scientist

Troy, NY · On-site

$150 - $210/hr

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high ...

Brookfield

Sr P&C Data Scientist

Albany, NY

Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience

The Hertz Corporation

Sr Data Scientist

Albany, NY · On-site

$89.25 - $120.75/hr

Minimum of 5 years hands-on experience in a data science or data analytics role * Minimum 2 years of intensive experience with cloud-based Big Data, ML and Analytics technologies, preferably ...

Kayla's HR Co

Assistant Manager

Schenectady, NY · Remote

Senior Data Scientist - Machine Learning Specialist We are seeking a talented and innovative Senior Data Scientist to join our growing analytics team. In this impactful role, you will leverage your ...

next page

Showing results 1-20

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Albany, NY

Weekend Data Science information

See Albany, NY salary details

$37.2K

$121.9K

$195.1K

How much do weekend data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend data science in Albany, NY is $121,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 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 the most commonly searched types of Data Science jobs in Albany, NY?

The most popular types of Data Science jobs in Albany, NY are:

What are popular job titles related to Weekend Data Science jobs in Albany, NY?

For Weekend Data Science jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Albany, NY look for?

The top searched job categories for Weekend Data Science jobs in Albany, NY are:

What cities near Albany, NY are hiring for Weekend Data Science jobs?

Cities near Albany, NY with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Sr Data Scientist

Excelsior College

Albany, NY • On-site

$85 - $95/hr

Other

Medical, Retirement, PTO

Posted 5 days ago

Job description

The data science center leads the development and implementation of machine learning and AI solutions that improve university operations and student outcomes. This role will focus on building, deploying, and scaling predictive and generative AI capabilities—including large language model (LLM) applications—to support strategic initiatives across marketing, admission, student advising, and academic affairs. The ideal candidate combines deep technical expertise with strong business partnership skills and a passion for applying cutting‑edge AI technologies in a higher education environment.

Duties and Responsibilities:

  • Design, develop, validate, and deploy machine learning models to improve operational efficiency, decision‑making, and student success outcomes.
  • Build predictive models and intelligent decision‑support tools for use cases such as enrollment marketing, student advising, course engagement, persistence, and retention.
  • Develop and implement LLM‑powered solutions by leveraging popular LLM APIs for university stakeholders.
  • Evaluate emerging AI and machine learning technologies and recommend practical adoption strategies aligned with university goals, governance, and responsible AI principles.
  • Partner with leaders and subject‑matter experts across marketing, advising, academic affairs, teaching and learning, and student success to identify high‑impact opportunities for analytics and automation.
  • Translate complex business problems into data science solutions, including experimentation, feature engineering, model development, and performance monitoring.
  • Collaborate with IT teams to productionize models, integrate solutions into workflows, and maintain scalable, reliable data products.
  • Communicate insights, model results, and recommendations clearly to technical and non‑technical audiences through presentations, dashboards, and written documentation.

Qualifications:

  • Master’s degree in data science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
  • 2‑3 years experience as a data scientist or analyst.
  • Demonstrated experience developing and implementing machine learning models in production environments.
  • Strong proficiency in Python, SQL, and common machine learning frameworks and libraries.
  • Experience with end‑to‑end model lifecycle management, including data preparation, feature engineering, training, validation, deployment, and monitoring.
  • Hands‑on experience with LLMs, natural language processing, prompt design, evaluation, and/or generative AI applications.
  • Familiarity with cloud platforms and modern data science tooling for scalable model development and deployment.
  • Strong analytical, problem‑solving, and communication skills, with the ability to influence decisions through data‑driven insights.
  • Ability to work cross‑functionally and manage multiple priorities in a collaborative environment.

The hiring salary range for this position is $85,000 - $95,000. The hiring salary range above represents the University’s good faith estimate at the time of posting.

Excelsior University offers competitive compensation and a generous benefits package that includes paid time off, retirement, and excellent health insurance.

AA/EOE/ADA

Excelsior University is an equal opportunity employer committed to ensuring all qualified applicants receive consideration for employment without regard to any legally protected characteristic.

#J-18808-Ljbffr

Apply