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Data Science Jobs in Hudson, NH (NOW HIRING)

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib * Proficiency in one or more programming languages: Python, C/C++ * Able to work and collaborate on multi ...

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib * Proficiency in one or more programming languages: Python, C/C++ * Able to work and collaborate on multi ...

UKG Careers

Sr. Staff Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

UKG, Inc.

Sr. Staff Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

UKG, Inc.

Principal Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

UKG Careers

Principal Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

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All JobsData Science JobsData Science Jobs in Hudson, NH

Data Science information

See Hudson, NH salary details

$37.9K

$124.1K

$198.7K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Hudson, NH is $124,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $137,500.00 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

What are the most commonly searched types of Data Science jobs in Hudson, NH?

The most popular types of Data Science jobs in Hudson, NH are:

What are popular job titles related to Data Science jobs in Hudson, NH?

For Data Science jobs in Hudson, NH, the most frequently searched job titles are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Hudson, NH as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,112 per year, or $59.7 per hour.

Director Real World Data Scientist (Billerica MA)

Merck KgaA

Billerica, MA • On-site

Other

Medical, Retirement, PTO

Posted 4 days ago

Job description

Work Your Magic with us! Start your next chapter and join EMD Serono.
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.
Your Role:
The Director is a senior individual contributor and scientific authority responsible for shaping how real-world evidence is generated and used to inform high-impact development and regulatory decisions. This role combines deep statistical and quantitative expertise with strong scientific judgment to define key questions, evaluate methodological choices, and ensure outputs are credible, defensible, and decision-grade. The Director plays a critical role in identifying methodological gaps, advancing approaches, and integrating perspectives across disciplines.
Key Responsibilities:
  • Scientific & Strategic Leadership
    • Define key scientific questions underpinning evidence strategies.
    • Provide leadership on RWE approaches supporting development and regulatory decisions.
    • Serve as a recognized scientific authority on complex methodological topics.
    • Identify methodological gaps, risks, and opportunities, and define pragmatic forward paths.
  • Methodological Expertise
    • Critically evaluate study designs, analytical strategies, and data sources.
    • Apply deep expertise in statistical theory, bias, confounding, causal inference, and quantitative modeling.
    • Assess whether methodological choices are fit-for-purpose, transparent, and scientifically defensible.
    • Guide complex methodological decisions involving multiple sources of evidence and competing analytical options.
  • Decision Enablement
    • Translate complex analysis into high-impact, decision-relevant insights.
    • Shape evidence used to inform critical questions such as disease characterization, comparator strategy, endpoint feasibility, external control design, and patient population definition.
    • Influence how evidence is generated and used in high-stakes decisions across programs.
  • Innovation, Methods & Data Integration
    • Evaluate emerging methodologies, technologies, and data paradigms for relevance and impact.
    • Evaluate and guide how real-world data sources are selected, structured, and interpreted to support complex evidence needs.
    • Apply deep understanding of data-generating processes and data limitations to inform methodological choices.
    • Shape how data is made accessible, interpretable, and usable for evidence generation across teams.
    • Provide scientific input into data pipelines, transformations, and analytical workflows to ensure they align with study needs and methodological rigor.
    • Partner with data science and engineering functions to ensure data infrastructure supports high-quality, scalable, and reproducible analysis.
    • Integrate innovations where they meaningfully improve rigor, efficiency, or interpretability.
  • Cross-Functional Collaboration
    • Partner across clinical development, biostatistics, regulatory, medical, HEOR, and data science.
    • Act as a bridge across disciplines, aligning scientific perspectives and decision needs.
    • Influence without authority in a complex matrix environment.
  • External Engagement
    • Engage externally to support scientific credibility and methodological advancement.
    • Contribute to methodological discussions with regulators, collaborators, or scientific communities where appropriate.
    • Support publications, presentations, or collaborations aligned with strategic priorities.

Who You Are
Minimum Qualifications:
  • PhD in statistics, biostatistics, epidemiology, applied mathematics, data science, or a related quantitative discipline.
  • 8 or more years of experience in real-world evidence, statistics, epidemiology, or related fields.
  • Deep expertise in statistical methods, causal inference, and analysis of complex healthcare data.
  • Strong understanding of real-world data, data-generating processes, and data limitations.
  • Experience supporting regulatory and development decisions with high-quality evidence.
  • Demonstrated ability to influence cross-functional teams and shape methodological direction.
  • Excellent communication skills and strong scientific leadership presence.

Preferred Qualifications:
  • Recognized scientific thought leadership in RWE, statistics, or a related field.
  • Track record of advancing or applying innovative methodologies in real-world settings.
  • Experience integrating diverse data sources and evidence types.
  • Proficiency in R, python, or other programming languages.
  • Experience engaging with regulators or external scientific communities on methodological topics.

Location: On-site Billerica MA
Pay Range for this position: $174,600-262,000
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Apply