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Data Science Jobs in Schenectady, NY (NOW HIRING)

Data Analyst

Albany, NY · On-site +1

$100K - $110K/yr

Collaborate with teams of data scientists to build pipelines for data engineering and machine learning. * Work with teams of software developers to build tools for data visualization and analysis.

We Are:The beginning of a new Data & AI decade that will reshape work and society has begun ... As an Artificial Intelligence and Machine Learning Computational Science professional, you will ...

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Master's in data science/computer science/Business Administration. #Request:apply only if you meet all requirements and can provide the requested documents (please don't ask for RTR without sharing ...

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. * Experience in AI/ML engineering or a related role. * Proficient in Python and familiar with ML ...

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Data Science information

See Schenectady, NY salary details

$36.3K

$118.8K

$190.1K

How much do data science jobs pay per year?

As of May 28, 2026, the average yearly pay for 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 Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

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 Data Science jobs in Schenectady, NY? For Data Science jobs in Schenectady, NY, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Schenectady, NY look for? The top searched job categories for Data Science jobs in Schenectady, NY are:
What cities near Schenectady, NY are hiring for Data Science jobs? Cities near Schenectady, NY with the most Data Science job openings:
Infographic showing various Data Science job openings in Schenectady, NY as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $118,753 per year, or $57.1 per hour.

Data Analyst

Cayuse Holdings

Albany, NY • On-site, Remote

$100K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Overview

The Data Analyst identifies and develops opportunities to leverage data from enterprise systems to support compliance activities, detect emerging trends in payment collections and taxpayer behaviors, and recommend systemic solutions. This role is responsible for designing and executing analytical approaches, documenting methodologies and results, and validating models to ensure they are robust, accurate, and ready for transition to appropriate organizational functions for operational use.

This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.

Responsibilities

  • Meet with clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.

  • Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business challenges.

  • Conduct exploratory data analysis using large-scale client data sources, and develop briefings and reports to communicate key findings to colleagues and clients.

  • Collaborate with teams of data scientists to build pipelines for data engineering and machine learning.

  • Work with teams of software developers to build tools for data visualization and analysis.

  • Develop recommendations based on completed research and analysis and present these recommendations to clients.

  • Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with both technical and non-technical backgrounds.

  • Take ownership of tasks and produce high-quality work products with minimal supervision.

  • Other duties as assigned.

Qualifications

  • Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline, or equivalent relevant experience.

  • A minimum of 5 years of professional experience

  • At least 5 years of experience with data structures, foundational statistical concepts, and analytical methodologies

  • At least 5 years of experience developing and presenting data-driven findings and recommendations.

  • Public Trust Clearance is required.

  • Due to the nature of work, U.S. Citizenship is required.

  • Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment

Minimum Skills:

  • Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)

  • Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)

  • Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required

  • Strong collaboration skills and ability to work well in a team environment

  • Excellent verbal and written communication skills

  • Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans

  • Strong client and team interaction skills

  • Critical thinker with excellent attention to detail

Our Commitment to you / overview of benefits

  • Medical, Dental and Vision Insurance; Wellness Program

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short-Term and Long-Term Disability options

  • Basic Life and AD&D Insurance (Company Provided)

  • Voluntary Life and AD&D options

  • 401(k) Retirement Savings Plan with matching after one year

  • Paid Time Off

Reports to: Program Manager

Working Conditions

  • Professional remote office environment.

  • Must be physically and mentally able to perform duties extended periods of time.

  • Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.

  • Must be able to establish a productive and professional workspace.

  • Must be able to sit for long periods of time looking at computer screen.

  • May be asked to work a flexible schedule which may include holidays.

  • May be asked to travel for business or professional development purposes.

  • May be asked to work hours outside of normal business hours.

  • Travel costs, per diem, and other related expenses must be pre-approved in compliance with State of Texas travel guidelines.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.

Pay Range

USD $100,000.00 - USD $110,000.00 /Yr.

Submit a Referral (https://careers-cayuseholdings.icims.com/jobs/3830/data-analyst/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834356743)

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Location US-

ID 104432

Category Information Technology

Position Type Full-Time Salary Exempt

Remote Yes

Clearance Required Public Trust