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Data Science Jobs in Manchester, VT (NOW HIRING)

Mack Molding

Plastics Design Engineer

Arlington, VT · On-site

Analyzes engineering proposals, process requirements, and related technical data relating to ... Ability to read, analyze, and interpret common scientific and technical journals, general business ...

Mack Molding

Plastics Design Engineer

Arlington, VT · On-site

$75K - $95K/yr

Analyzes engineering proposals, process requirements, and related technical data relating to ... Ability to read, analyze, and interpret common scientific and technical journals, general business ...

Mack Molding

Plastics Design Engineer

Arlington, VT · On-site

Analyzes engineering proposals, process requirements, and related technical data relating to ... Ability to read, analyze, and interpret common scientific and technical journals, general business ...

Saratoga Hospital

Registered Nurse

Saratoga Springs, NY · On-site

$37 - $56.67/hr

Analyzes relevant data. Integrates assessment results in care planning, goals and outcomes ... Bachelor of Science in Nursing. Candidates with AAS in Nursing who will complete BSN within four ...

Saratoga Hospital

Registered Nurse

Saratoga Springs, NY · On-site

$37 - $57.61/hr

Analyzes relevant data. Integrates assessment results in care planning, goals and outcomes ... Bachelor of Science in Nursing. Candidates with AAS in Nursing who will complete BSN within five ...

Evonik

Lab Technician

Saratoga Springs, NY · On-site

$40/hr

Technical: run experiments, analyze, and data entry to support technical projects, special tests ... Bachelor of Science degree in Chemistry preferred * Mathematics, communication and organizational ...

Evonik Industries

Lab Technician

Saratoga Springs, NY · On-site

$40/hr

Technical: run experiments, analyze, and data entry to support technical projects, special tests ... Bachelor of Science degree in Chemistry preferred * Mathematics, communication and organizational ...

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All JobsData Science JobsData Science Jobs in Manchester, VT

Data Science information

See Manchester, VT salary details

$36.9K

$120.7K

$193.3K

How much do data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data science in Manchester, VT is $120,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,800.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What cities near Manchester, VT are hiring for Data Science jobs? Cities near Manchester, VT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Manchester, VT as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,717 per year, or $58 per hour.
IT Manager, Application and Business Intelligence

IT Manager, Application and Business Intelligence

cb20 Inc

Saratoga Springs, NY • On-site

Full-time

Posted 11 days ago

Job description

cb20 is a technology solutions provider of choice for organizations that value IT and Managed Services expertise and category-leading customer service.We partner with the world's leading hardware and software companies to deliver end-to-end consulting, implementation and managed services across the U.S. With world-class engineering talent and 30+ years of experience cb20 delivers confidence, security, a true sense of control and the highest- quality, end-to-end customer experience in the business.


The IT Manager, Application and Business Intelligence is responsible for leading the support, development, integration, and optimization of business applications and reporting solutions across the organization. This role partners closely with business leaders, operations, finance, supply chain, manufacturing, and IT teams to ensure systems and data solutions support business goals, improve decision-making, and drive operational efficiency.

The position oversees application management, business intelligence tools, data reporting, system enhancements, vendor coordination, and team leadership. The ideal candidate combines strong technical knowledge with business acumen, project management skills, and the ability to translate business needs into scalable technology solutions.

RESPONSIBILITIES:

Application Management

  • Manage and support core business applications, including ERP, MES, reporting, and departmental systems.
  • Oversee application configuration, upgrades, integrations, testing, documentation, and user support.
  • Partner with business teams to identify system improvements and process automation opportunities.
  • Ensure application reliability, performance, security, and compliance with company standards.
  • Manage relationships with software vendors, consultants, and implementation partners.


Business Intelligence and Reporting

  • Lead the development and maintenance of business intelligence dashboards, reports, and analytics solutions.
  • Work with stakeholders to define reporting requirements, key performance indicators, and data needs.
  • Ensure data accuracy, consistency, and integrity across reporting platforms.
  • Support data-driven decision-making through effective visualization, analysis, and reporting tools.
  • Promote best practices for data governance, reporting standards, and self-service analytics.


Leadership and Project Management

  • Lead, coach, and develop application support and business intelligence team members.
  • Manage project priorities, timelines, resources, and deliverables.
  • Coordinate cross-functional projects involving IT systems, process improvements, and data initiatives.
  • Communicate project status, risks, and recommendations to leadership and stakeholders.
  • Establish and monitor service levels, support procedures, and continuous improvement practices.


Business Partnership

  • Serve as a trusted technology partner to business departments.
  • Translate business requirements into technical specifications and practical solutions.
  • Evaluate current processes and recommend system or reporting improvements.
  • Provide training, documentation, and user guidance for supported applications and BI tools.
  • Support management efforts related to new systems, upgrades, and process changes.

Required Qualifications

  • Bachelor's degree in Information Technology, Computer Science, Business, Data Analytics, or a related field; equivalent experience may be considered.
  • 5+ years of experience supporting business applications, ERP/MES systems, business intelligence platforms, or enterprise reporting solutions.
  • 2+ years of supervisory, team lead, or project leadership experience.
  • Experience with business intelligence tools such as Power BI, SQL Server Reporting Services, or similar platforms.
  • Strong understanding of databases, data structures, reporting, integrations, and application support processes.
  • Experience gathering business requirements and translating them into system or reporting solutions.
  • Strong project management, problem-solving, communication, and organizational skills.
  • Ability to work effectively with both technical and non-technical stakeholders.


Preferred Qualifications

  • Experience in manufacturing, paper, packaging, distribution, or process-industry environments.
  • Experience with Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) systems or similar platforms.
  • Knowledge of SQL, data warehousing, ETL processes, APIs, or application integrations.
  • Experience with ITIL, change management, cybersecurity standards, or data governance practices.
  • Project management certification or experience managing system implementation projects.


Physical and Work Environment Requirements

  • Primarily office-based with routine travel to manufacturing and company locations as needed.
  • After-hours support for system upgrades, outages, or critical business needs.
  • Ability to work in a manufacturing or industrial environment when visiting operational sites.
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About cb20

Sourced by ZipRecruiter

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Schenectady, NY, US

Year founded

1981

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