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Part Time Data Science Jobs in Boston, MA (NOW HIRING)

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Remote - anywhere in the US Duration: Full-time/Part-time position Pay Range: $90k/annum ...

About the Opportunity The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on ...

Office Manager (Part-Time) Department: Strategy Employment Type: Part Time Location: Boston, MA ... data science, and more. We're a team of smart, curious, and collaborative individuals from diverse ...

... part-time adjunct instructor for the 2026 fall semester to teach an in-person course for the ... Architecture and Design, Computing and Data Science, Engineering, Management, and Sciences and ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Experience with a prototyping language (e.g., MATLAB, ENVI/IDL (Interactive Data Language), etc.

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Part Time Data Science information

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$50

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How much do part time data science jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for part time data science in Boston, MA is $50.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.47 and $74.63 per hour, depending on experience, location, and employer.

What do you mean by part?

In a part-time data science role, the position involves working fewer hours than a full-time job, often on a flexible schedule. It typically requires skills in data analysis, programming, and tools like Python or R, and may be suitable for students or professionals seeking additional work experience.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is the synonym of part?

In the context of a part-time data science role, the word 'part' is synonymous with 'partial' or 'segment,' indicating a role with fewer hours or responsibilities compared to full-time positions. Such roles often require skills in data analysis, programming, and familiarity with tools like Python or R, and may offer flexible schedules.

What word part means renal pelvis?

In anatomy, the term 'pelvis' refers to the renal pelvis, which is the part of the kidney that collects urine before it moves to the ureter. Understanding anatomical terminology is useful for data scientists working with medical data or developing health-related models. Knowledge of medical terminology can aid in accurate data labeling and analysis.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
What are the most commonly searched types of Data Science jobs in Boston, MA? The most popular types of Data Science jobs in Boston, MA are:
What are popular job titles related to Part Time Data Science jobs in Boston, MA? For Part Time Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Boston, MA look for? The top searched job categories for Part Time Data Science jobs in Boston, MA are:
What cities near Boston, MA are hiring for Part Time Data Science jobs? Cities near Boston, MA with the most Part Time Data Science job openings:
Data Scientist (MMM)

Data Scientist (MMM)

FocusKPI Inc.

Boston, MA • On-site

$90K/yr

Part-time

Posted 11 days ago


Job description

FocusKPI is seeking smart, curious, technically savvy, and experienced candidates to join our cutting-edge internal data science team. The data science team at FocusKPI builds models and machine learning algorithms that power all our clients' ad-tech/mar-tech products at scale, develops methodologies and tools to precisely and effectively measure market and campaign effects, and researches in-house and public data sources for insights into consumer spending behavior.
In this role, you'll spearhead the company's advanced predictive modeling and analytics to elevate its analytical capabilities. In addition, you'll be expected to play an essential role in executing the R&D agenda and delivering products on time and to high quality for different businesses.
Work Location: Remote - anywhere in the US
Duration: Full-time/Part-time position
Pay Range: $90k/annum
Responsibilities:
  • Support clients' modeling needs, including maintenance, enhancement of existing measurement and targeting solutions, and timely, high-quality delivery.
  • Developing innovative and automated solutions for custom needs, leveraging appropriate AI/ML/statistical tools.
  • Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis.
  • Provide analytical/statistical support for marketing test design, campaign measurement, and market insights to clients and stakeholders.
  • Communicate methodologies and results to management, clients, and other non-technical stakeholders.
Qualifications:
  • An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or related fields, requires advanced training in data modeling and analytics.
  • Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field
  • Deep understanding and solid knowledge of the fundamentals of statistical reasoning and ML models.
  • Experience with causal inference, marketing mix models (MMM), and multi-touch attribution models is highly valued and mandatory to have
  • An added advantage is familiarity with deep learning, natural language processing (NLP), computer vision, and generative AI.
  • Skilled in conceptualizing complex business problems and designing practical, effective modeling and analytical solutions to address them.
  • Proficiency in common programming languages such as Python and SQL.
  • Experienced and comfortable working with standard big data tools, including cloud platforms, database technologies, and parallel processing frameworks.
  • Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willing and capable to learn quickly, and effectively prioritize and execute tasks in a demanding environment.
  • Great communication skills (verbal, written, and presentation).

Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010