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Remote Associate Applied Science Jobs in Massachusetts

Senior Scientist, Oceans Science

Boston, MA ยท On-site +1

$99K - $135K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... Reporting to the Associate Vice President, Ocean Science, the successful candidate will collaborate ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Extensive experience in Data Science capability assessment and analysis; Demonstrated ability to ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

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Remote Associate Applied Science information

How can I make 2000 a week working from home?

A Remote Associate Applied Science role can potentially pay $2000 or more weekly by leveraging specialized skills, such as data analysis, research, or technical support, and working full-time hours. Increasing income may involve taking on multiple projects, developing expertise in high-demand areas, or obtaining relevant certifications to enhance earning potential.

What is the difference between Remote Associate Applied Science vs Remote Data Analyst?

AspectRemote Associate Applied ScienceRemote Data Analyst
Required CredentialsBachelor's degree in applied science, engineering, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentCollaborative, often in research or technical teamsData-focused, analytical tasks often in business or tech sectors
Employer & Industry UsageResearch institutions, tech companies, manufacturingFinance, marketing, healthcare, tech companies
Common Search & ComparisonYesYes

The Remote Associate Applied Science role typically involves applied research and technical problem-solving in scientific or engineering contexts, requiring a background in applied science. In contrast, a Remote Data Analyst focuses on interpreting data to inform business decisions, often with a background in statistics or mathematics. Both roles are remote, collaborative, and industry-relevant, but they serve different functions within organizations.

What remote jobs can you get with an Associate of applied science?

A Remote Associate Applied Science can qualify for various remote roles such as technical support specialist, data entry clerk, administrative assistant, or customer service representative. These positions often require strong communication skills, familiarity with office software, and sometimes industry-specific knowledge or certifications. Many of these jobs offer flexible schedules and can be performed using standard computer and internet access.

What can I do with my associates in applied science?

A Remote Associate in Applied Science can work in fields such as technology, healthcare, manufacturing, or engineering, often in roles like technician, analyst, or support specialist. These positions typically require technical skills, problem-solving abilities, and familiarity with industry-specific tools or software.

Is an associate's in applied science worth it?

An associate's in applied science can be valuable for roles like a Remote Associate Applied Science, as it provides practical skills and technical knowledge relevant to the job. It often leads to entry-level positions in technical fields and can serve as a stepping stone to further education or certifications, enhancing career prospects.
What are popular job titles related to Remote Associate Applied Science jobs in Massachusetts? For Remote Associate Applied Science jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Remote Associate Applied Science jobs? Cities in Massachusetts with the most Remote Associate Applied Science job openings:

Sourcing - Director, Data Science: Data Science Tools

Liberty Information Technology Limited

MA โ€ข On-site, Remote

$142K - $201K/yr

Full-time

Posted 27 days ago


Job description

Description
The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **
Responsibilities:
  • Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
  • Own strategy and roadmaps for improving data science workflows and tooling across USRM
  • Design, build, and maintain Python packages used across the organization
  • Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
  • Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
  • Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
  • Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
  • Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

The ideal candidate will have:
  • Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
  • Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
  • Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
  • Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
  • Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
  • Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists

Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

Employees may apply for a new role after completing 12 months of employment in their current position.
Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
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