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Temporary Data Scientist Machine Learning Jobs in Everett, MA

The role involves conducting analyses to provide actionable business insights and informing statistical or machine learning approaches. Responsibilities : • build scalable, re-usable data science ...

The Data Scientist is accountable for delivering business value with data by focusing on key ... Practical experience in several of the following areas: machine learning, NLP, statistics ...

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Temporary Data Scientist Machine Learning information

See Everett, MA salary details

$38.6K

$126.4K

$202.3K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for temporary data scientist machine learning in Everett, MA is $126,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $140,000.00 per year, depending on experience, location, and employer.

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

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Everett, MA look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Everett, MA are:
What cities near Everett, MA are hiring for Temporary Data Scientist Machine Learning jobs? Cities near Everett, MA with the most Temporary Data Scientist Machine Learning job openings:

(Senior) Scientist, Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA • On-site

$100K - $136K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago


Job description

Build Models Where None Exist Yet.
At Flagship Pioneering, we create companies from first principles. Within Flagship Labs, small founding teams define new technical theses, test them rapidly, and build ventures around breakthrough ideas.
We are forming a machine learning team inside a newly launched venture, Flagship Labs 120. Our work focuses on extracting latent structure from information-rich measurements of complex physical systems-often requiring mechanism-informed modeling, thoughtful inductive bias design, and principled approaches to inverse problems.
This is a zero-to-one role focused on modeling innovation rather than routine optimization. You'll design, prototype, test, and refine new approaches that help define the technical foundation of a platform from day one.
What You'll Do
  • Develop and iterate on ML models for complex measurement data, from representation design through validation
  • Design objectives and architectures that respect known constraints, symmetries, or latent structure in the data
  • Explore and compare modeling strategies, balancing strong baselines with more experimental approaches when appropriate
  • Investigate model behavior and failure modes to improve robustness and interpretability
  • Collaborate closely with experimental and technical teammates to align modeling with data generation
  • Contribute to shaping the long-term ML strategy and technical direction of a new venture

Who You Are
You may come from physics, applied mathematics, engineering, computer science, or another quantitative field. You have hands-on experience developing machine learning models-ideally in deep learning, representation learning, probabilistic modeling, or related areas. You are comfortable implementing and modifying models, training them end-to-end, and working directly with real data.
You likely:
  • Think algorithmically and reason from underlying structure
  • Are comfortable adapting or extending model architectures when needed
  • Have built and debugged meaningful ML systems or research prototypes
  • Enjoy operating in dynamic, early-stage environments
  • Read papers, build prototypes to test ideas, and translate concepts into working systems

What matters most is your ability to reason across data, models, and the systems they represent.
Technical Background
Required
  • Strong hands-on experience building and training modern ML models
  • Fluency in Python and at least one major ML framework (e.g., PyTorch or equivalent)
  • Experience working with real-world or experimentally generated data
  • Ability to design, run, and interpret ML experiments
  • Comfort working in practical development environments (e.g., cloud infrastructure, experiment tracking, reproducible workflows)

Helpful
  • Experience with inverse problems, latent-variable inference, or structured generative modeling (e.g., diffusion or flow-based methods)
  • Familiarity with geometric or symmetry-aware architectures
  • Experience incorporating physical or structural constraints into learning systems
  • Experience working with time-series or high-dimensional signal data
  • Exposure to biology, chemistry, physics, or related sciences

ABOUT FLAGSHIP PIONEERING
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.
The salary range for this role is $130,000 - $230,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL120 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL120's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.