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Senior Data Analyst Machine Learning Jobs in Lowell, MA

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

Tive

Senior Data Analyst

Boston, MA · On-site

$110K - $140K/yr

As a Senior Data Analyst at Tive, you will use your considerable experience to help lead Tive into its next phase of growth. One of Tive's primary focus areas for the next few years is on delivering ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data ...

Constant Contact

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

We're seeking a proactive and strategically minded Senior Analyst to join our Data & Analytics team. In this high-impact role, you will serve as a data partner to the organization, leveraging ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

The ideal candidate will have a passion for using machine learning tools and techniques to ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

We're seeking a proactive and strategically minded Senior Analyst to join our Data & Analytics team. In this high-impact role, you will serve as a data partner to the organization, leveraging ...

phasevtrials.com

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Proficiency in statistical analysis and machine learning * Experience with data visualization and ...

New

AgZen

Senior Data Scientist

Somerville, MA · On-site

About the Role We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join ... analytics, modeling and visualization Python libraries, including machine learning and deep ...

Veridic Solutions

Data scientist

Boston, MA · On-site

Veridic Solutions is seeking a Sr. Data Scientist who will build scalable, re-usable data science ... analyses to provide actionable business insights and informing statistical or machine learning ...

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Showing results 21-40

All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Lowell, MA

Senior Data Analyst Machine Learning information

See Lowell, MA salary details

$54.5K

$98.4K

$134.4K

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

As of Aug 8, 2026, the average yearly pay for senior data analyst machine learning in Lowell, MA is $98,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $107,600.00 per year, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Senior Data Analyst Machine Learning jobs in Lowell, MA? For Senior Data Analyst Machine Learning jobs in Lowell, MA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Machine Learning jobs in Lowell, MA look for? The top searched job categories for Senior Data Analyst Machine Learning jobs in Lowell, MA are:
Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Lowell, 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,414 per year, or $47.3 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Full-time

Posted 23 days ago

Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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