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Flexible Data Science Jobs (NOW HIRING)

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible ...

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible ...

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... We promote a healthy work/life balance across the organization, with various flexible and remote ...

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... We promote a healthy work/life balance across the organization, with various flexible and remote ...

The Libraries supports flexible work arrangements based on departmental and operational needs. This ... The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ...

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using ... Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 ...

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Delta Dental or reimbursement account for flexible coverage. * Vision: Affordable plan with ...

Delta Dental or reimbursement account for flexible coverage. * Vision: Affordable plan with ... Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot ...

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Flexible Data Science information

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$37.5K

$122.7K

$196.5K

How much do flexible data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for flexible data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis and decision-making.

Is a data scientist a flexible job?

A data scientist role can offer flexibility in terms of remote work, flexible hours, and project-based assignments, depending on the employer. Many data scientists work independently or as consultants, which can further enhance flexibility, but job requirements such as deadlines and collaboration may influence this. Skills in programming, data analysis, and tools like Python or R are essential for success in flexible work arrangements.

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or formal education regardless of age.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.
More about Flexible Data Science jobs
What cities are hiring for Flexible Data Science jobs? Cities with the most Flexible Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Flexible Data Science jobs? States with the most job openings for Flexible Data Science jobs include:
Infographic showing various Flexible Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Applied Data Scientist

Senior Applied Data Scientist

3Play Media

Boston, MA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 11 days ago


Job description

The Role

We are looking to grow our core Applied Science team by adding a "Senior Applied Data Scientist". This is an individual contributor role on a highly collaborative team. The Applied Science team is a self-sufficient, product development team that applies research and experimentation to fulfill its goals of developing and maintaining business-critical software systems. In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural language processing, generative AI, signal processing, applied probability and statistics, data analysis, and controlled experimentation. You'll be expected to contribute to and learn about several of these domains.

We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible data scientist. The ideal candidate is energized by the craft of building efficient, reliable software systems alongside sensible, robust machine learning and AI models. You'll approach engineering and data science as disciplines that are always evolving, and you actively seek out and weigh new approaches rather than settling into the familiar. Above all, you understand that this work is a team sport: you know that strong collaboration, durable relationships, and genuinely diverse perspectives aren't nice-to-haves but the foundation of doing it well.

What You'll Do
  • Contribute to a shared codebase, using GitHub and other modern collaboration tools, such as agentic coding systems
  • Perform the technical elements of a variety of product development and data analysis projects (prototyping, evaluation, productionization, and maintenance), especially related to audio and video processing, generative AI, predictive modeling, and NLP
  • Participate in the internal peer review process, including design reviews, code reviews, and data analysis reviews
  • Design, manage, and analyze controlled experiments within our production systems
  • Regularly report on progress, results, findings, risks, and opportunities
Who You AreMust-haves
  • 2+ years full time working experience in signal processing, data science, or machine learning roles, including predictive modeling, data processing, and data analysis responsibilities
  • Extremely strong communication skills, both verbally and in writing
  • Strong familiarity with Python coding, utilizing industry standard libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
  • Interest in presenting technical and business-oriented information to a variety of audiences, including senior management and customers
  • BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field
Nice-to-haves
  • Strong academic and professional experience with audio signal processing, speech synthesis, and computer vision
  • Experience writing, deploying, and maintaining Python and SQL code in a production setting
  • Experience building and maintaining production machine learning systems in a cloud-based platform, such as AWS SageMaker
  • Experience developing and maintaining custom deep learning models using pytorch and HuggingFace, especially models involving text, audio, and video data
  • Experience using third-party generative AI systems, including prompt engineering and fine-tuning
  • Experience in the accessibility and localization industries
⚡ AI at 3Play

3Play is building AI into how we work across every function. We don't expect expertise — we expect curiosity. If you've used AI tools to work smarter, automated something that used to be manual, or found a better way to do your job with technology, that mindset belongs here.

Compensation & Location

Base salary range: $150k - $180k

Location: Remote — United States

Employment type: Full-time

About 3Play Media

3Play Media is a technology company making video accessible to everyone. Our captioning, transcription, audio description, and localization solutions serve over 10,000 customers — universities, media companies, enterprises, and government organisations across the US and Canada.

We were founded at MIT Sloan in 2007 and have been building deliberately ever since. The team is small, fast-moving, and low on politics. The work you do here is visible from day one. Headquarters in Boston, MA with offices in Minneapolis, MN and Calgary, AB.

3Play Media is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds.