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Director Data Analyst Machine Learning Jobs in Massachusetts

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 ...

... Data Analyst We are hiring a Senior AI Product Data Analyst to drive actionable insights, shape ... Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation ...

... Data Analyst We are hiring a Senior AI Product Data Analyst to drive actionable insights, shape ... Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation ...

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... analytics, machine learning, and mechanistic modelling approaches. In this role, you will partner ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ...

... machine learning, artificial intelligence, software engineering, statistical analysis, scientific method, etc. * Demonstrate superior collaboration with senior leadership in identifying prospective ...

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Methods Machine Tools , established in 1958, is one of the largest privately held machine tool ... The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows ...

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Job Type Full-time Description Methods Machine Tools , established in 1958, is one of the largest ... The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ...

Currently we are directing Neurable for virtual and augmented reality applications. We are ... Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ...

Currently we are directing Neurable for virtual and augmented reality applications. We are ... Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... Build and apply machine learning models in Python - from predictive modeling (e.g., cancel/churn ...

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Director Data Analyst Machine Learning information

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

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Massachusetts? The most popular types of Data Analyst Machine Learning jobs in Massachusetts are:
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What job categories do people searching Director Data Analyst Machine Learning jobs in Massachusetts look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Director Data Analyst Machine Learning jobs? Cities in Massachusetts with the most Director Data Analyst Machine Learning job openings:
Infographic showing various Director Data Analyst Machine Learning job openings in Massachusetts as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 4% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Machine Learning Analyst

$110K - $145K/yr

Other

Posted 11 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.