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

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

AI Data Engineer

Syracuse, NY ยท On-site

$89K - $95K/yr

Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, or related field, or equivalent combination of education and experience. * 4+ years of experience in data engineering, AI ...

Senior Analyst, Data

Syracuse, NY ยท On-site

$85K - $107K/yr

Today, Le Moyne has evolved into a nationally acclaimed college of liberal arts and sciences that ... Position Summary The Senior Data Analyst for the Institutional Research department will assist ...

Senior Analyst, Data

Syracuse, NY

$85K - $107K/yr

Today, Le Moyne has evolved into a nationally acclaimed college of liberal arts and sciences that ... Position Summary The Senior Data Analyst for the Institutional Research department will assist ...

The Data Solutions Analyst will partner cross functionally to understand underlying business issues ... Bachelor's Degree or higher in Business or Computer Science Experience: * Required: 3-5 or more ...

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Weekend Data Science information

See Syracuse, NY salary details

$37.1K

$121.3K

$194.1K

How much do weekend data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for weekend data science in Syracuse, NY is $121,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $134,400.00 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 Syracuse, NY?

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

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

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

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

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

Senior Data Analyst

Syracuse, NY โ€ข On-site

Association For Institutional Research
Non-Profitsย โ€ขย 11 - 50 employees

$70 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Duties

Position Summary

The Senior Data Analyst for Institutional Research will assist leadership in implementing self-service, routine reporting through the development of standardized data management, retrieval and reporting tools, and working with the Director will assist the senior administration with strategic reporting and analytics. In addition to supporting the Director in the development of strategy and tactics for the IR office, the incumbent will coordinate and complete mandatory, periodic, and ad-hoc institutional reporting to maintain compliance with accrediting bodies, government agencies, college guidebooks, and other internal and external requesters.

Principal Duties and Essential Functions

Job duties specific to this position:

Extract/collect, clean, analyze, and summarize data for internal use, external surveys (e.g. U.S. News and World Report, college guidebooks, rankings), government and agency mandated reporting (e.g. CDS, IPEDS, NYSED, NCAA), and continued accreditation (e.g. Middle States).

Administrate and analyze each survey: Senior survey, Alumni survey; campus climate survey. Work with the HEDS organization on use of other student surveys, etc.

Collaborate with the Director on market research for new and existing academic programs.

Coordinate college offices, Information Technology, and outside vendors to envision and transform the College's processes for data management, analysis, and reporting.

Collaborate across college offices including Financial Aid, Registrar, Finance and Administration, Enrollment Management, and Human Resources to collect and fulfill mandatory, periodic, and ad-hoc institutional reporting.

Create and clearly summarize information to support institutional policies and planning, institution-wide assessment, program evaluation, and retention studies.

Maintain the accuracy, integrity, and confidentiality of all College data and information.

Embody Le Moyne's mission-based competencies of communication, leadership, collaboration, integrity, diversity, and service.

Assist with course evaluations and analysis with the Provost office.

Job Qualifications

Qualifications

Bachelorโ€™s degree in statistics, economics, computer science, and/or business analytics/data analytics required, Masterโ€™s degree in an analytical discipline such as the social sciences, education research, public policy, or related field preferred.

5+ years' experience progressively responsible experience in institutional research, applied analytics, data science, program evaluation, or a related quantitative field; equivalent combinations of graduate education and professional experience will be considered.

A minimum of two years' experience in higher education or similar institutional setting.

A strong aptitude in using data bases, query tools, etc.

A strong understanding of research methodology in behavioral sciences or education measurement. In-depth knowledge of research methods in the social sciences and familiarity with intermediate to advanced multivariate statistical analysis techniques.

Demonstrated ability collect/extract, clean, analyze, and summarize data, including competency with analytical software such as SAS and SPSS, Informer, and data visualization software, such as Tableau. Experience with education ERPs such as Workday and Datatel/Colleague preferred.

Experience creating and clearly summarizing information for decision makers and other end users.

Understanding and applied knowledge of digital transformation processes related to business process and cultural/organizational change.

Demonstrated ability to work with less technically-savvy users to develop the scope of reporting, data requirements, and appropriate tools for extraction and reporting.

Strong management, interpersonal skills, including active listening, flexibility, and empathy to accurately obtain information from and provide information to client offices and senior leadership.

Institution Description

Le Moyne College, located in Syracuse, N.Y., is an independent college established by the Jesuits in 1946 to provide students with a values-based, comprehensive academic program designed to foster intellectual excellence and preparation for a life of leadership and service. Today, Le Moyne has evolved into a nationally acclaimed college of liberal arts and sciences that draws students from across the U.S. and abroad.

Our Mission:

Le Moyne College is a diverse learning community that strives for academic excellence in the Catholic and Jesuit tradition through its comprehensive programs rooted in the liberal arts and sciences. Its emphasis is on education of the whole person and on the search for meaning and value as integral parts of the intellectual life. Le Moyne College seeks to prepare its members for leadership and service in their personal and professional lives to promote a more just society.

Le Moyne College aims to advance the values of diversity and inclusiveness at the college. To do this, Le Moyne seeks scholars and professionals who bring innovation, creativity, and impact to the campus, and who bring greater depth, breadth, and diversity to our campus community.

403(b) Retirement contribution- (9.5% Employermatch)
Generous tuition coverage
Health insurance options- (Medical, Dental, Vision, Flexible Spending Accounts)
Health Savings Accounts- (Partially Employer funded)
Basic Life & AD&D Insurance- (Employerpaid)
Short and Long Term Disability Insurance (Employer paid)
Supplemental Life & AD&D Insurance
Voluntary benefits- (Legal, Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance etc.)
12 paid holidays
Generous time off package

Application Due Date: 2026-08-31

Job Start Date: 2026-09-15

State/Province/Region: NY

Reports To: Director, Institutional Research, Planning, and Effectiveness

Staff # Reporting to Position: 0

Reports In Office: Institutional Research

Search for openings in IR, effectiveness, assessment, planning, and related fields at higher education institutions in the U.S. and abroad.

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