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Data Analyst Data Scientist Jobs in Springfield, MA

Experience Required for This Role Data Research & Analysis - at least 3 years of measurable ... Science • Experience with machine learning, AI, and cognitive service engine models • ...

In addition, you will work on small scale or ad hoc data science projects independently. Work ... Master's degree in a qualitative field is preferred * 2+ years' experience predictive analytics ...

In addition, you will work on small scale or ad hoc data science projects independently. Work ... Master's degree in a qualitative field is preferred * 2+ years' experience predictive analytics ...

In addition, you will work on small scale or ad hoc data science projects independently. Work ... Master's degree in a qualitative field is preferred * 2+ years' experience predictive analytics ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The Enterprise Data Services department's Commercial Lines team is looking for a skilled Sr. Business ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project ... PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Responsible for analytics and predictive modeling of the region's electricity demand across all ... Experience working with big data, geospatial analytics, and/or probabilistic forecasting

The Advancement Data Analyst is an inaugural role within Trinity College's Office of Advancement. Reporting to the Executive Director of Research, Prospect Management, Advancement Information ...

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

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Data Analyst Data Scientist information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do data analyst data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst data scientist in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What job categories do people searching Data Analyst Data Scientist jobs in Springfield, MA look for? The top searched job categories for Data Analyst Data Scientist jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Analyst Data Scientist jobs? Cities near Springfield, MA with the most Data Analyst Data Scientist job openings:

Data Scientist - Workforce Analytics

MANTECH

Springfield, MA • On-site

Full-time

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


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.

Responsibilities include but are not limited to:

  • Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
  • Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
  • Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
  • Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
  • Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
  • Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
  • Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
     

Minimum Qualifications:

  • Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
  • Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
  • Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
  • Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
     

Preferred Qualifications:

  • Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
  • Advanced proficiency in coding, specifically including SQL for database management.
  • Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
     

Clearance Requirements:

  • An active TS/SCI with the ability to obtain and maintain a Polygraph.
     

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

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