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Remote Bayesian Jobs in Massachusetts (NOW HIRING)

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Remote Bayesian information

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

To thrive as a Remote Bayesian, you need strong statistical knowledge, expertise in Bayesian inference, and a background in mathematics or data science, often supported by an advanced degree. Familiarity with programming languages like Python or R, Bayesian software such as Stan or PyMC, and experience with remote collaboration tools are typically required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting results and working with distributed teams. These abilities are vital for delivering accurate, actionable insights in a remote environment where clear analysis and collaboration drive project success.

How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?

Remote Bayesian professionals often work closely with data scientists, engineers, and decision-makers through virtual collaboration tools such as video conferencing, shared code repositories, and project management platforms. Clear communication is key, as they must explain complex probabilistic models and inferences to both technical and non-technical stakeholders. Regular check-ins and documentation help ensure alignment on project goals, data requirements, and model outcomes. This collaborative dynamic fosters an environment where insights from Bayesian analysis can directly inform business or research decisions, despite the physical distance.

What is a Remote Bayesian?

A Remote Bayesian is a professional who specializes in Bayesian statistics and probabilistic modeling while working remotely, often in fields like data science, machine learning, or research. They use Bayesian methods to update probabilities and make predictions based on data, collaborating with teams through digital communication tools. Remote Bayesians may work for tech companies, research institutions, or as independent consultants, applying their expertise to solve complex problems without being tied to a physical office location.

What is the difference between Remote Bayesian vs Remote Data Scientist?

AspectRemote BayesianRemote Data Scientist
Required CredentialsBackground in statistics, Bayesian methods, programming (Python/R)Statistics, computer science, or related degree; programming skills
Work EnvironmentResearch-focused, analytical tasks, often in tech or financeData analysis, modeling, business insights across industries
Industry UsageResearch institutions, AI, machine learning, financeTech companies, consulting, finance, healthcare

Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.

What are the most commonly searched types of Bayesian jobs in Massachusetts? The most popular types of Bayesian jobs in Massachusetts are:
What are popular job titles related to Remote Bayesian jobs in Massachusetts? For Remote Bayesian jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Remote Bayesian jobs? Cities in Massachusetts with the most Remote Bayesian job openings:
Technical Staff - Remote Sensing Scientist

Technical Staff - Remote Sensing Scientist

MIT Lincoln Laboratory

Lexington, MA • Remote

Other

Medical, Dental, Vision, Retirement, PTO

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Technical Staff - Remote Sensing Scientist
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Date: May 18, 2026


Location:
Lexington, MA, US


Company:
MIT Lincoln Laboratory

The Applied Space Systems Group develops environmental monitoring electro-optical and microwave sensor systems for remote sensing applications. The group supports partners in US Government organizations as well as industry. Activities include development of electro-optical and microwave sensors; system and architecture analysis; signal processing, data analysis and algorithm development. The group seeks physicists, astronomers, applied mathematicians, electrical engineers, computer engineers, and those with related experience who have interest in developing cutting edge space remote sensing technologies for future missions.

Job Description

Group 97, The Applied Space Systems Group, seeks a remote sensing scientist to join our team, focused on supporting the application of advanced electro-optical sensor systems. The successful candidate will be part of a team with imaging and data scientists as well as hardware and software engineers to prototype, operate and analyze the performance of highly integrated sensor systems for terrestrial and space applications.

Requirements

  • PhD in Physics, Optical or Aerospace Engineering or related field. In lieu of PhD, MS with 5 or more years of related experience is acceptable.
  • Significant professional or academic experience in at least two of the following areas, and some familiarity and career interest in several others:
    • Satellite remote sensing
    • Radiative transfer modeling
    • Optical sensor characterization, data calibration, error budgets, uncertainty modeling
    • Algorithm Development, machine learning & deep learning for remote sensing, simulation, Monte Carlo uncertainty, validation vs ground truth, Bayesian estimation, error budget analysis
    • Space systems: vehicle design, space environment design and analysis
    • Test design, procedure development, and execution
    • Hardware assembly: clean room and ESD / test environment experience
    • Automated analysis and reporting: tools, custom analysis applications with user interfaces

  • Demonstrable ability to
    • Develop respectful, productive working relationships
    • Communicate clearly, precisely, and concisely to technical and non-technical audiences
    • Solve broad and/or complex technical or engineering problems
    • Learn and apply advanced technical knowledge quickly and proficiently


  • Analytical and/or scientific programming proficiency (e.g. MATLAB, Python, C/C++, or similar), including high performance computing workflow development
  • Active Secret Security Clearance highly desired

Recent Graduate Hiring Range:$145,200-$170,000

Experienced Hiring Range: $145,200-$220,000

Disclaimer:MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits pagefor more information. As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID:42748


Nearest Major Market: Boston
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