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Data Science Jobs in Poughkeepsie, NY (NOW HIRING)

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$37K

$121.3K

$194.1K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Poughkeepsie, NY is $121,264.00, 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 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 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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Poughkeepsie, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,264 per year, or $58.3 per hour.

Manager - Data Governance

Central Hudson Gas & Electric Corp.

Poughkeepsie, NY • On-site

$126K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Benefits:
  • Competitive compensation
  • Medical, dental, and vision insurance
  • 401(k) retirement savings plan with substantial company match
  • Life and travel insurance
  • Tuition assistance
  • Wellness reimbursement program
  • Paid holidays and vacation

What is a Manager - Data Governance?
The Manager - Data Governance leads the design, implementation, and operationalization of the enterprise data and AI governance program. This role establishes governance frameworks that define how data is created, managed, protected, and trusted across the organization. Responsibilities include data quality, lifecycle management, cataloging, inventory management, data dictionary development, owner and steward enablement, and governance controls that ensure data integrity across systems and integrations. The Manager partners closely with Business, Application Services, Analytics, and Cyber teams to align, standardize, and govern enterprise data assets.
What does a Manager - Data Governance do?
  • Designs and builds the enterprise data governance framework, including operating models, policies, standards, and processes
  • Establishes and maintains the enterprise data catalog, data dictionary, and data inventory as authoritative sources for data asset definitions
  • Defines governance processes for the creation, classification, management, protection, and lifecycle of data assets
  • Identifies, onboards, and enables data owners and stewards through training, accountability frameworks, and governance best practices
  • Assesses application integrations for governance gaps and enforces data integrity, consistency, and standardization across systems
  • Develops data quality controls, metrics, and dashboards to measure, monitor, and improve data health across business domains
  • Partners with Business, Application Services, Analytics, and Cyber teams to prioritize governance initiatives based on risk and business value
  • Supports Analytics with governed, trusted, and fit-for-purpose data for reporting, insights, and decision-making
  • Defines and enforces enterprise-wide data standards, naming conventions, and governance policies
  • Establish AI governance - sanctioned model/ tool registry, AI use-case intake and acceptable-use policy with Cyber and Enterprise Architecture
  • Builds and manages the data and AI governance roadmap, including milestones, quick wins, and long-term maturity objectives
  • Provides support for storm restoration efforts

What does it take to be a Manager - Data Governance?
Required:
  • Bachelor's degree in Information Management, Computer Science, Data Science, or a closely related field, and 5+ years of experience designing and implementing data governance programs, frameworks, and operating models.
  • Experience with data governance and data catalog platforms such as Microsoft Purview, Collibra, or Alation
  • Experience with data quality principles, metrics, controls, and governance tooling
  • Experience establishing and supporting data owner and data steward accountability models
  • Strong understanding of data lifecycle management, metadata management, and data governance best practices
  • Ability to translate governance concepts for both technical and non-technical audiences
  • Ability to build cross-functional alignment and influence stakeholders across multiple business areas
  • Strong analytical, organizational, documentation, and communication skills
  • Detail-oriented self-starter with the ability to operate independently in a greenfield environment
  • Valid driver's license

Preferred:
  • Data governance or data management certification (CDMP, DAMA-DMBOK)
  • Familiarity with AI governance and responsible-AI frameworks
  • Experience working in the utility industry or other highly regulated environments

Pay range: $126,500 - $196,100
Please go to https://www.cenhud.com/employment. Click the "Search Career Opportunities" button. Follow the directions to submit an application and upload your resume for the desired position.
Applications sent via e-mail and US Mail will not be accepted. No phone calls or agencies, please. All replies will be held in strict confidence.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, ethnicity, arrest or conviction record, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, citizenship, genetic information, familial status, marital status, pregnancy-related condition, domestic violence victim status, veteran or military status, or any other characteristic protected by federal, state or local laws. Central Hudson Gas & Electric Corporation takes affirmative action in support of its policy to employ and advance employment in individuals who are protected veterans and individuals with disabilities.
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