1

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

Data Engineer

Albany, NY ยท Hybrid

$100K - $110K/yr

The Data Engineer is an integral part of the Information Technology Services department (ITS ... Bachelor's degree in computer science, information technology, systems engineering, database ...

Data Analyst Trainee 1: Bachelor's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field. Data Analyst Trainee 2: Bachelor's degree in data or ...

Data Engineer

Albany, NY ยท On-site

$100K - $110K/yr

The Data Engineer is an integral part of the Information Technology Services department (ITS ... Bachelor's degree in computer science, information technology, systems engineering, database ...

Data Analyst 1

Albany, NY ยท On-site

$66K - $85K/yr

A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may ...

May require after-hours, weekend, or on-call support based on operational needs. Travel may be ... Associate degree in Information Technology, Computer Science, or related discipline preferred. * 4 ...

New

May require after-hours, weekend, or on-call support based on operational needs. * Travel may be ... Associate degree in Information Technology, Computer Science, or related discipline preferred. * 4 ...

Data Analyst 3, (SG- 27) Item #00755

Albany, NY ยท On-site

$111K - $137K/yr

A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may ...

Showing results 21-40

Weekend Data Science information

See Schenectady, NY salary details

$36.3K

$118.8K

$190.1K

How much do weekend data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend data science in Schenectady, NY is $118,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 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 Schenectady, NY?

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

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

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

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

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

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

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

Research Scientist 3/4 (Biostatistics / Health Informatics / Health Economics) - 87036

StateJobsNY

Albany, NY โ€ข On-site

$96K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Duties Description The Research Scientist 3/4 will be assigned to the Office of Health Services Quality and Analytics and will assist in a broad range of research, analysis, reporting, and evaluation activities. The Research Scientist 3/4 will work for the Bureau of Healthcare Outcomes and Program Evaluation to help the Office meet its expanding responsibilities to promote health care quality and patient safety through a variety of data-driven means. Responsibilities will include health care services research and analysis, quality metrics, development of public data sets, program evaluation, and ad hoc projects; contribute to research, analysis, reporting, and evaluation activities relating to the New York Patient Centered Medical Home.
In addition, this position will support the development of public data sets, Tableau visualizations and dashboards using Statewide Planning and Research Cooperative System (SPARCS), Medicaid Data Warehouse (MDW), All Payer Claims Data (APD), Patient Centered Medical Home (PCMH), and other data; develop and validate data integration from large data systems for research activities; develop processes and methodologies to evaluate data utility and quality; apply quality metrics for evaluation of care, outcomes, costs across payers, service types, facilities, and geography; conduct analyses on primary care and other emerging health priorities; develop statistical briefs, peer-reviewed manuscripts, and technical documentation; and supervise research staff.
If appointed as a Research Scientist 3, the incumbent will participate in all phases of research under the general supervision of a senior Research Scientist; if appointed as a Research Scientist 4, the incumbent will be responsible for all phases of research projects.
Minimum Qualifications Research Scientist 3 (Biostatistics/Health Informatics/Health Economics), SG25:
A bachelor's degree in analytics, bioinformatics, biostatistics, business administration, computer science, data analytics, econometrics, economics, engineering, epidemiology, epidemiology, finance, genetics, government analytics, health economics, health informatics, mathematics, mathematics, physics, public administration, public health, public health, social sciences, statistics, or a related degree and four years of professional research experience** in an appropriate field.
Research Scientist 4 (Biostatistics/Health Informatics/Health Economics), SG27:
A bachelor's degree in analytics, bioinformatics, biostatistics, business administration, computer science, data analytics, econometrics, economics, engineering, epidemiology, epidemiology, finance, genetics, government analytics, health economics, health informatics, mathematics, mathematics, physics, public administration, public health, public health, social sciences, statistics, or a related degree and five years of professional research experience** in an appropriate field.
**Substitutions: a master's degree in an appropriate field may substitute for one year of experience, and Ph.D. in an appropriate field may substitute for an additional year of experience.
Preferred Qualifications:
Strong statistical and data management skills. Demonstrated experience in data analysis, management, and validation. Proven experience developing statistical programs in SAS, SQL, or R to compose research and reporting databases for the application of higher order analysis. Knowledge of statistical methods and their application for predictive and prescriptive analytics and anomaly detection. Knowledge of various healthcare quality measures. Experience developing and applying algorithms to link health care data across multiple data sources. Experience with large relational database management. Proven experience analyzing health care claims data or other administrative data sources. Experience with visualization software such as Tableau is a plus. Excellent communication, organization, and program management skills. Ability to work independently and in a fast-paced team environment.
Additional Comments Work hours and telecommuting availability (50% maximum) for this position will be discussed during the interview process, and are subject to operational needs and the telecommuting application process. Any non-telecommuting days are required to be in-person in the Corning Tower in downtown Albany, NY.
When reviewing qualifications, omissions and vagueness cannot be interpreted in the candidate's favor. Candidates are responsible for providing accurate and clear descriptions of their experience demonstrating how they meet the minimum qualifications.
We offer a work-life balance and a generous benefits package, worth 65% of salary, including:
โ€ข Holiday & Paid Time Off
โ€ข Public Service Loan Forgiveness (PSLF)
โ€ข Pension from New York State Employees' Retirement System
โ€ข Shift & Geographic pay differentials
โ€ข Affordable Health Care options
โ€ข Family dental and vision benefits at no additional cost
โ€ข NYS Deferred Compensation plan
โ€ข Access to NY 529 and NY ABLE College Savings Programs, and U.S. Savings Bonds
โ€ข And many more...
The NYS Department of Health is committed to making New York a safer, healthier, and more equitable place to live. Understanding health equity, social determinants of health and health disparities is critical to accomplish our goal of eliminating health disparities. For more information on the NYS Department of Health's Mission, Vision, Values and Strategic Plan, please visit: https://health.ny.gov/commissioner/index.htm
If you require reasonable accommodation to complete a job application, a job interview or to otherwise participate in the hiring process, please contact by phone 518-486-1812 or email doh.sm.Reasonable.Accommodation@health.ny.gov to make a request.
The NYS Department of Health does not participate in E-Verify and does not sponsor visa applications.
For new State employees appointed to graded positions, the annual salary is the hiring rate of the position (beginning of the salary range). Promotion salaries are calculated by the NYS Office of the State Comptroller in accordance with NYS Civil Service Law, OSC Payroll rules and regulations, and negotiated union contracts.
Some positions may require additional credentials or a background check to verify your identity.
Name Human Resources Management Group, PC/RS4/87036
Telephone 518-486-1812
Fax 518-473-3336
Email Address resume@health.ny.gov
Address
Street Corning Tower, Empire State Plaza, Room 2217
City Albany
State NY
Zip Code 12237
Notes on Applying Please submit your resume and cover letter as one (1) document, preferably in PDF format, by email to resume@health.ny.gov, with Reference PC/RS4/87036 included in the subject line or by mail to Human Resources Management Group, PC/RS4/87036, Rm 2217, Corning Tower Building, Empire State Plaza, Albany, NY 12237-0012, or by fax to (518) 473-3395. Failure to include the required information may result in your resume not being considered for this position.