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

Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics, Operations Management, or a related field preferred. * Equivalent combinations of education and relevant ...

Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics, Operations Management, or a related field preferred. * Equivalent combinations of education and relevant ...

Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics, Operations Management, or a related field preferred. * Equivalent combinations of education and relevant ...

Data Analyst

Rensselaer, NY · On-site

$80K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics, Operations Management, or a related field preferred. * Equivalent combinations of education and relevant ...

Mandatory Qualifications: • This position requires at least a bachelor's degree in Data Engineering, Computer Science, MIS or equivalent from an accredited institution. A copy of the degree must be ...

Data Engineer

Albany, NY · 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 Engineer

Albany, NY · 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 ...

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 Aug 7, 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.

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 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:

Data Scientist - Recruitment #26

GreyCell Labs, Inc

Albany, NY • On-site

Other

Posted 22 days ago


Job description

Job Title: ON-SITE - Data Scientist - Recruitment #26 

Location: Albany, NY 

Duration: 12 Months 

Job Description:  

  • This position requires at least a bachelor’s degree in Engineering, Computer Science, MIS or equivalent from an accredited institution. A copy of the degree must be submitted with the Candidate Proposal Response. 

  • 6 year’s experience with development in medium to large-scale technical projects and assuring deliverables and project scope are met and well documented 

  • 6 year’s experience  with data analytics including processing, reporting, transformation, visualization. 

  • 6 year’s experience with Python based data analytics projects 

  • 6 year’s experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc) containing large amounts of data (greater than 10 million rows  

  • 6 year’s experience with developing and maintaining data processing and ETL pipelines 

  • 6 year’s experience with developing cloud native and hybrid applications using serverless platforms. 

  • 6 year’s experience in designing and implementing data visualizations with large datasets (1 million+ records) on analytics platforms such as Tableau 

_______________________________________________________________________ 

Agency: HRI 

Project: PHIG A3 DMA 

Note: Sorry we do not Sponsor  Visa 

Max: SEVEN 32.800.2838 

Aryan: - SEVEN 32.800.2373