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Senior Data Scientist - Applied ML

Reads like a ML Engineer role: putting models into production.

Pay
$166,000–214,000/yearLocation-specific pay — pay source
Prior experience in a high-growth startup or SaaS company is preferred The base wage range for this position based in our New York City Office is targeted at $166,000-$214,000 per year. #LI-DG2 #LI-Hybrid
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Scope new data science use-cases with product and engineering leaders

  • Prototype, evaluate and deploy ML, statistical and LLM solutions

  • Query structured and unstructured data with SQL

  • Build model monitors and collect consumer feedback after deployment

  • Support technical and code reviews on the team

From the employer’s posting
Partner with product and engineering leaders to identify and scope new data science use-cases
Prototype, evaluate, and deploy technical solutions including classical ML, statistical techniques, algorithms, deep learning, and LLMs
Utilize SQL to query both structured and unstructured datasets relevant to the problems
Build model monitors and systematic methods of obtaining consumer feedback from models post-deployment
Support technical and code reviews on the team

What you’ll bring

All qualifications

Core experience

  • 7+ years as a data scientist or ML practitioner
  • Strong expertise in predictive modeling and statistical methods
  • Fluent in SQL
  • Proficient in Python for research and production code
  • Strong communication and data storytelling skills

Preferred experience

  • Prior experience in a high-growth startup or SaaS company is preferred
Qualification wording
7+ years of experience as a data scientist or machine learning practitioner
Strong expertise in predictive modeling, numerical algorithms, and statistical methods
Fluent in SQL
Proficient in Python for both model research and development, as well as writing production grade code for deployment
Strong communication and data storytelling skills
Prior experience in a high-growth startup or SaaS company is preferred

About Justworks

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community.

In the employer’s words · Read in context

Apply at Justworks

Posting record

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Status in our records
Live
First seen by us
Oct 1, 202639 days ago
Recorded sightings
47
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 39

Similar jobs usually come down between day 7 and day 72.

From 4,777 similar postings that came down. Coming down is not always a hire.

Justworks is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • dbt
  • Snowflake
Where the posting names them
- Fluent in SQL - Proficient in Python for both model research and development, as well as writing production grade code for deployment - Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)
- Partner with product and engineering leaders to identify and scope new data science use-cases within their domains such as Risk & Insurance and Payments - Utilize SQL to query both structured and unstructured datasets relevant to the problems - Prototype, evaluate, and deploy technical solutions including classical ML, statistical techniques, algorithms, deep learning, and LLMs
- Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes - Fluent in SQL - Proficient in Python for both model research and development, as well as writing production grade code for deployment
- Proficient in Python for both model research and development, as well as writing production grade code for deployment - Familiarity with a cloud-based data stack (e.g. Snowflake, dbt) - Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work

Your next step

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Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 618, the most 1,131, and the latest week had 1,131.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Who We Are

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.

We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.

We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.

Our Values

If this sounds like you, you’ll fit right in.

Department

Technology, Data & Analytics Team

Who You Are

You’re a data scientist with experience in building and deploying machine learning solutions for complex, and sometimes ambiguous, business problems. You have worked end-to-end on the ML model lifecycle, from early data discovery and analysis to deploying and maintaining models in production. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business.

Justworks is looking for a Senior Data Scientist to join our ML group within the Data & Analytics team. You'll primarily partner with Product and Engineering to identify and frame domain-specific use-cases as data science problems, prototype and evaluate the appropriate technical solutions, and work with our Machine Learning Engineers to deploy them into production and maintain them.  

Your Success Profile

What You Will Work On

Lead end-to-end machine learning and data science projects:

  • Partner with product and engineering leaders to identify and scope new data science use-cases within their domains such as Risk & Insurance and Payments
  • Utilize SQL to query both structured and unstructured datasets relevant to the problems
  • Prototype, evaluate, and deploy technical solutions including classical ML, statistical techniques, algorithms, deep learning, and LLMs
  • Develop and apply AI-assisted approaches to analysis, model exploration, and deployment to multiply your impact and expand the reach of data science across the organization
  • Help implement and curate strategic assets for the team such as data assets, generalized code and tooling, and reusable frameworks
  • Support technical and code reviews on the team
  • Build model monitors and systematic methods of obtaining consumer feedback from models post-deployment
  • Collaborate with our MLE team to inform the model deployment infrastructure and MLOps tooling roadmap
  • Perform other related responsibilities as needed based on department and/or organizational needs.

How You Will Do Your Work

In the Data Scientist role, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

  • Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.
  • Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.
  • Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking. This includes helping product partners develop a more data-informed mindset, not just answering their questions.
  • Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improv

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

  • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
  • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
  • Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
  • Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
  • Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

  • 7+ years of experience as a data scientist or machine learning practitioner, with a track record of driving business impact through statistical analysis, machine learning, and productionizing models
  • Strong expertise in predictive modeling, numerical algorithms, and statistical methods
  • Strong communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions
  • Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes
  • Fluent in SQL
  • Proficient in Python for both model research and development, as well as writing production grade code for deployment
  • Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)
  • Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work
  • Prior experience in a high-growth startup or SaaS company is preferred

The base wage range for this position based in our New York City Office is targeted at $166,000-$214,000 per year.

#LI-DG2 #LI-Hybrid

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location.  Salary ranges for positions based in other locations may differ based on the cost of labor in that location. 

For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. 

Diversity At Justworks

Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.

We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience.

Our DEIB Report 

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Pay
Prior experience in a high-growth startup or SaaS company is preferred The base wage range for this position based in our New York City Office is targeted at $166,000-$214,000 per year. #LI-DG2 #LI-Hybrid
Location & working pattern

New York, New York

The base wage range for this position based in our New York City Office is targeted at $166,000-$214,000 per year. #LI-DG2 #LI-Hybrid Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location.
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