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Data Science Jobs in Wakefield, MA (NOW HIRING)

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making ...

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All JobsData Science JobsData Science Jobs in Wakefield, MA

Data Science information

See Wakefield, MA salary details

$39.5K

$129.4K

$207.2K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Wakefield, MA is $129,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $143,400.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Wakefield, MA? For Data Science jobs in Wakefield, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Wakefield, MA look for? The top searched job categories for Data Science jobs in Wakefield, MA are:
What cities near Wakefield, MA are hiring for Data Science jobs? Cities near Wakefield, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Wakefield, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 9% Hybrid, and 16% Remote job distribution, with an average salary of $129,393 per year, or $62.2 per hour.

Director, Data Science and Analytics

The Weather Channel

Andover, MA • On-site

Full-time

Re-posted 20 days ago

Job description

Company Description
At WSI, weather means business. We are the world's leading provider of weather-driven business solutions that enable enterprises to make better decisions using the most accurate, precise and resolute weather data available. We serve some of the world's biggest brands in the aviation, energy, insurance, and media markets, plus multiple federal and state government agencies.
Based on growth and expansion in analytics we are searching for a leader to build WSI's capabilities in the data sciences, working closely with leaders across the company to build a variety of models, recommenders, and algorithms used by WSI customers to make critical weather related business decisions. You'll connect with stakeholders across multiple verticals (Aviation, Energy, Retail, Insurance, Logistics) identifying opportunities to extract value from datasets and solve focused analytical problems. We are a community of engineers, data scientists, and statisticians, and are looking to add to our growing team. Weather is one of the largest global datasets. We produce Petabytes a year of weather information. Every day our customers make critical decisions based on the weather.
OUR IDEAL CANDIDATE:
  • Has considerable and highly relevant experience in data sciences and technology management - putting predictive models into production for B2B clientele, and building and managing a best in class data sciences group
  • Is excited about extremely large datasets and using them to add value to society
  • Relishes devising and executing strategies and roadmaps and getting buy-in from stakeholders and senior leadership
  • Is very comfortable interfacing with senior level clients to evangelize our solutions

Job Description
  • Explore big data to surface Insights to inform major product and business decisions
  • Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition and sentiment analysis
  • Analyze and model structured data using advanced statistical methods
  • Process data in large-scale environments
  • Attract, select, develop, motivate, train and retain a team of high performing data science professionals
  • Interface with multiple business units to help us grow analytics as a competitive business advantage and as a center of excellence within the business
  • Select and manage relationship with outsourced analytics provider to augment staff as needed from time to time
  • Manage day-to-day operations, including staffing, scheduling, and prioritization of engagements
  • Lead the definition of processes and procedures to enable the team execute efficiently and the product ingest data optimally
  • Identify data partners, both internal and external, to gather the data to build the best in class data solutions
  • Provide sales support and enable the team sell bigger and better and provide metrics to justify the customer spend
  • Be an evangelist and market the solution by promoting the value of the product from a data perspective using white papers, presentations, etc.
  • Build a performance driven culture with a strong foundation of intellectual curiosity

Qualifications
  • Masters degree applied statistics, mathematics, econometrics, or other discipline related to Time-Series Analysis, Machine Learning, or Forecasting, or its equivalent
  • 10 years of relevant experience in data sciences and technology management, to include deploying predictive models into production
  • Knowledge, Skills and Abilities
  • Demonstrated ability to work with clients, products, and services across multiple industries
  • Demonstrated performance in managing big data projects such as - MapReduce, Hadoop, HPCC
  • Demonstrated proficiency in growing and managing a data sciences team
  • Proficiency in managing in an Agile environment.
  • Strong organizational, analytical, and problem-solving skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply