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Data Analyst Data Science Jobs in Hudson, NH (NOW HIRING)

STR

Senior Data Scientist

Woburn, MA

$140K - $190K/yr

About the Team STR's Intelligence Division researches and develops advanced analytics and machine ... and data science, who are seeking opportunities to use their deep technical knowledge and ...

New

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

... data science * Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets * Experience ...

STR

Senior Data Scientist

Woburn, MA

$140K - $190K/yr

About the Team STR's Intelligence Division researches and develops advanced analytics and machine ... S government * MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science ...

New

STR

Senior Data Scientist

Woburn, MA · On-site

$140K - $190K/yr

About the Team STR's Intelligence Division researches and develops advanced analytics and machine ... S government * MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science ...

New

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Showing results 41-60

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Hudson, NH

Data Analyst Data Science information

See Hudson, NH salary details

$34.4K

$83.6K

$137.5K

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

As of Aug 21, 2026, the average yearly pay for data analyst data science in Hudson, NH is $83,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Hudson, NH look for?

The top searched job categories for Data Analyst Data Science jobs in Hudson, NH are:

What cities near Hudson, NH are hiring for Data Analyst Data Science jobs?

Cities near Hudson, NH with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Hudson, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $83,565 per year, or $40.2 per hour.

Senior Data Science and Machine Learning Engineer

1 point system

Bedford, MA • Remote

Contractor

Re-posted 22 days ago

Job description

Role

Senior Data Science and Machine Learning Engineer

Duration

6 months Contract to Hire

Location

Remote

Job Summary

    • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
    • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities

    • Develop, deploy, and maintain machine learning models in production environments.
    • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
    • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
    • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
    • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
    • Contribute to code reviews, technical design discussions, and best practices for the team.
    • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
    • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience

•            5+ years of experience in data engineering, machine learning engineering, or related roles.

•            Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).

•            Solid understanding of ML model development, training, and deployment pipelines.

•            Experience with ML model monitoring and observability frameworks.

•            Experience with deep learning frameworks(TensorFlow, PyTorch).

•            Familiarity with CI/CD, version control (Git),and modern ML Ops practices.

Nice-to-Have

•            Contributions to open-source Data Science / Machine Learning libraries or frameworks.

•            Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization

Thanks and Regards

Monu Singh Chauhan | 1Point System LLC
Technical Recruiter  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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