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Senior Data Analyst Machine Learning Jobs in Massachusetts

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 ...

Motion Recruitment

Senior Data Scientist

Boston, MA · Remote

Master's degree preferred · 5-8+ years of experience in Data Science, Machine Learning, or Applied ... Strong analytical, communication, and problem-solving skills Desired Skills & Experience · ...

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 ...

Vantage Point Consulting Inc.

Sr Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Vantage Point Consulting Inc. is seeking highly skilled Data Engineers/Analysts to support the Discovery Phase of a large-scale legacy system modernization project. The role involves analyzing ...

EverQuote

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... You will be joining a team of talented and collaborative data scientists and machine learning ...

EverQuote

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... You will be joining a team of talented and collaborative data scientists and machine learning ...

EverQuote

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days ... You will be joining a team of talented and collaborative data scientists and machine learning ...

PhaseV

Senior Data Scientist

Boston, MA

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 ...

PhaseV

Senior Data Scientist

Cambridge, MA · On-site

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 ...

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Senior Data Analyst Machine Learning information

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 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:

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Massachusetts?

For Senior Data Analyst Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

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

The top searched job categories for Senior Data Analyst Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Massachusetts with the most Senior Data Analyst Machine Learning job openings:

Senior Data Analyst Machine Learning jobs near you

Senior Data Engineer - Robotics - Wilmington, Ma

Motion Recruitment Partners, LLC

Wilmington, MA • On-site

$115K - $157K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description


A rapidly growing robotics company is hiring a Senior Data Engineer to help build the data infrastructure that powers next-generation autonomous warehouse automation solutions. The organization develops autonomous mobile robotic systems used in large-scale fulfillment and logistics environments, enabling customers to optimize inventory movement, order fulfillment, and operational efficiency through advanced robotics and intelligent software.
As a Senior Data Engineer, you will play a critical role in designing and scaling the data platforms that support robotic operations, fleet management, analytics, machine learning initiatives, and customer-facing reporting. You will work closely with robotics engineers, software developers, product managers, data scientists, and operations teams to transform massive volumes of telemetry, operational events, sensor data, and system logs into reliable and actionable datasets.
In this role, you will build highly scalable data pipelines that collect information from thousands of connected robotic devices operating in real-world environments. You will be responsible for ensuring data quality, reliability, accessibility, and performance across the organization's analytics ecosystem. The ideal candidate enjoys solving complex engineering challenges involving high-volume streaming data, distributed systems, cloud platforms, and real-time operational insights. This position offers the opportunity to work at the intersection of robotics, data engineering, and industrial automation while helping drive the future of warehouse technology.
Required Skills & Experience
  • Strong proficiency in Python and SQL
  • Experience building and maintaining large-scale data pipelines
  • Experience with cloud-based data platforms (AWS preferred)
  • Knowledge of ETL and ELT frameworks
  • Experience with data warehousing technologies
  • Experience processing large volumes of event-driven or streaming data
  • Knowledge of distributed data systems and scalable architectures
  • Experience with Spark, Kafka, Airflow, or similar technologies
  • Strong understanding of data modeling and database design
  • Software engineering best practices including testing and version control

Desired Skills & Experience
  • 5+ years of Data Engineering experience
  • Experience working with IoT, robotics, sensor, or telemetry datasets
  • Experience supporting machine learning or analytics teams
  • Familiarity with real-time data processing architectures
  • Knowledge of warehouse automation, logistics, or supply chain technologies
  • Experience with Databricks or modern cloud analytics platforms
  • Bachelor's degree in Computer Science, Data Engineering, Engineering, or related field
  • Experience working in a fast-paced startup or high-growth environment

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Design and develop scalable pipelines that ingest telemetry data from robotic fleets
  • Build data solutions supporting analytics, reporting, and machine learning initiatives
  • Create and maintain data models optimized for operational and business intelligence use cases
  • Develop real-time and batch processing workflows for robotic system data
  • Partner with robotics and software engineering teams to improve data collection and accessibility
  • Monitor pipeline performance and troubleshoot data quality issues
  • Support customer-facing analytics and operational reporting solutions
  • Implement data governance, validation, and monitoring processes
  • Optimize storage, processing, and retrieval of large-scale operational datasets
  • Contribute to architectural decisions involving cloud-native data platforms and services

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply