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Python Data Analysis Jobs in Worcester, MA (NOW HIRING)

Xometry

Senior Data Scientist, Costing

Waltham, MA · On-site

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy * Relentlessly iterate solutions within a fast-paced ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

Proficiency in Python for automation, orchestration, and custom data solutions, with the ability to ... Analytics, Reporting & Modern Data Platforms : Knowledge of Power BI or other visualization tools ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA

$102K - $132K/yr

Proficiency in Python for automation, orchestration, and custom data solutions, with the ability to ... Analytics, Reporting & Modern Data Platforms : Knowledge of Power BI or other visualization tools ...

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How much do python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python data analysis in Worcester, MA is $58.49, according to ZipRecruiter salary data. Most workers in this role earn between $48.22 and $66.44 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Worcester, MA?

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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,667 per year, or $58.5 per hour.

Senior Data Scientist, Product Analytics

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a highly analytical and data-driven Senior Data Scientist (Product Analytics) with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap.
Part of the scope of this role is measuring, experimenting on, and quantifying the impact of one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will design the metric framework, experimentation strategy, and reporting that tell us whether the embedded experience inside the partner's ecosystem - Designcenter, and Teamcenter - is actually delivering the "science fiction speed" digital thread from ideation to delivery, and how to make it better.
How You'll Contribute:
  • Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement
  • Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis, and other experiments. Define clear hypotheses, target segments, and success metrics
  • Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights
  • Integration Measurement: Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with our partner. Define success metrics and instrumentation across the in-CAD experience (Solid Edge, NX, Designcenter) and the Xometry marketplace, design cross-surface experiments and causal analyses that join the two funnels, work through the identity-resolution, attribution, and statistical-power challenges of low-volume enterprise cohorts, and quantify the funnel from designer intent in Teamcenter to manufactured part - making the digital thread's business impact legible to leadership.
  • KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms, including KPIs that make sense in a PLM/CAD context (e.g., time-from-design-to-quote, in-CAD-to-order conversion, designer adoption per seat) as well as in the marketplace
  • Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders
  • Collaboration: Work closely with product managers, engineers, designers, machine learning scientists, and - for the Siemens integration - partner engineering teams to implement and iterate on experiment findings and product improvements
  • Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership
  • Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation, including the cross-system data flows that span the Siemens and Xometry surfaces
  • Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices, especially for partner-integrated and multi-surface products

What You'll Bring to Xometry:
  • Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or another quantitative discipline
  • 6-8 years of relevant experience
  • Strong proficiency in data analysis, statistical modeling, and data visualization
  • Proven experience in designing, implementing, and analyzing A/B tests and other experiments
  • Solid understanding of statistical significance and hypothesis testing
  • SQL is a must. Python is nice to have. Any experience with Looker is also desirable.
  • Knowledge of data science concepts and methodologies
  • Excellent communication and presentation skills, with the ability to explain complex data insights - including to external partner engineering teams
  • Strong analytical and problem-solving skills
  • Experience working in a product-driven environment
  • Attention to detail and a commitment to data accuracy

Nice to have:
  • multi-surface / partner-integration analytics: Experience designing experiments and metrics across multi-surface or partner-integrated products (embedded experiences, CAD/PLM integrations, B2B SaaS plug-ins, extension or in-app funnels), including the identity-resolution, attribution, and statistical-power problems that come with low-volume enterprise cohorts.
  • CAD/PLM/manufacturing fluency: Familiarity with CAD, PLM, or manufacturing workflows; comfort talking with designers, manufacturing engineers, and partner engineering teams about how they actually use tools day-to-day.
  • causal methods at scale: Hands-on experience with quasi-experimental and causal inference methods (difference-in-differences, synthetic control, CUPED, switchback, geo-experiments) for situations where clean A/B isn't feasible - common when the experimental unit is an enterprise account or a designer inside a partner environment.

The estimated base salary range for new hires into this role is $140,000-160,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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