1

Senior Data Analyst Machine Learning Jobs in Lawrence, MA

... analytics and machine learning-based solutions to solve challenging problems related to national ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

ABOUT YOU You are a senior-level data scientist and recognized BESS subject matter expert with ... analytics, applied machine learning, or related fields RESPONSIBILITIES Advanced Analytics and ...

ABOUT YOU You are a senior-level data scientist and recognized BESS subject matter expert with ... analytics, applied machine learning, or related fields RESPONSIBILITIES Advanced Analytics and ...

Senior Data Engineer

Boston, MA

$115K - $156K/yr

As a Senior Data Engineer, CASM Platform, you will: * Data Integration, API Development: Integrate ... Data Science & ML Integration: deploy machine learning models, including predictive analytics ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn ...

Senior Data Scientist

Woburn, MA · On-site

$140K - $190K/yr

... analytics and machine learning-based solutions to solve challenging problems related to national ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

Senior Data Scientist

Boston, MA · On-site

$140K - $190K/yr

... analytics and machine learning-based solutions to solve challenging problems related to national ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

... analytics and machine learning-based solutions to solve challenging problems related to national ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... data. * Familiarity with survival analysis, time-series, or longitudinal modeling. * Open-source ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and ...

Showing results 41-60

Senior Data Analyst Machine Learning information

See Lawrence, MA salary details

$57.7K

$104.1K

$142.2K

How much do senior data analyst machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data analyst machine learning in Lawrence, MA is $104,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What job categories do people searching Senior Data Analyst Machine Learning jobs in Lawrence, MA look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Lawrence, MA are:

What cities near Lawrence, MA are hiring for Senior Data Analyst Machine Learning jobs?

Cities near Lawrence, MA with the most Senior Data Analyst Machine Learning job openings:

Infographic showing various Senior Data Analyst Machine Learning job openings in Lawrence, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,106 per year, or $50.1 per hour.

Senior Data Scientist

STR

Woburn, MA

$140K - $190K/yr

Full-time

Posted 14 days ago


Job description

About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Senior Data Scientist, you will help research, develop, and integrate cutting-edge models and technologies into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop innovative algorithmic techniques to discover trends and form valuable intelligence insights. You will explore a wide variety of quantitative models ranging from classical statistical methods to frontier language models. In addition, you will collaborate closely with customers to understand mission needs, define requirements, communicate technical developments and findings, and respond to user feedback.

This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.

What you will do:

  • Investigate and analyze exquisite multimodal datasets to identify and expose hidden patterns and trends
  • Develop, evaluate, and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts
  • Think critically about robust modeling capabilities that generalize to support broad application against high-impact national security problems
  • Collaborate with diverse teams to explore new domains and data modalities, investigate state-of-the-art research, tackle emerging problem spaces, and mentor others

Who you are:

  • Active Secret security clearance, for which U.S citizenship is needed by the U.S government
  • MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience)
  • Desire to tackle challenges, develop new skills, and explore unsolved problem spaces
  • Experience developing and applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional
  • Familiarity with various algorithmic techniques such as Bayesian methods, predictive models, reinforcement learning, deep learning architectures, and large language models
  • Comfortable creating data visualizations and communicating technical findings
  • Proficient with Python and the traditional data science and machine learning stack, including NumPy, Pandas, scikit-learn, PyTorch, and matplotlib
  • Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users

Even better:

  • Familiarity with geospatial and/or spatiotemporal data
  • Demonstrated ability to conduct and lead research tasks amidst uncertain conditions with minimal oversight
  • Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
  • Active Top Secret security clearance
  • Experience in intelligence and military-related mission areas

Pay Information
Full-Time Salary Range: $140,000 - $190,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.