Remote Applied Scientist Jobs
Remote Applied Scientist jobs are open across the U.S. in technology, healthcare, and financial services, at companies ranging from remote-first AI startups to large distributed engineering teams. Employers hiring remotely right now include Zillow, Innodata, and StackAdapt. Scan the live roles below and apply to whichever ones fit.
Find Remote Applied Scientist JobsOverview
Showing 5 of 23+ Remote Applied Scientist jobs
INTRODUCTION
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
BASIC QUALIFICATIONS
What you'll bring to the table:
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
COMPENSATION
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Canada Base Salary Band: $140,000 CAD - $192,500 CAD
USA Base Salary Band: $128,000 USD - $176,000 USD
BENEFITS
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
DIVERSITY AND INCLUSION
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
ABOUT STACKADAPT
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
- G2 Top Software for 2026
- 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
- #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
- 2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards
To learn more about our privacy practices, please see our Privacy Policy.
LOCATION
StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.
APPLICATION DEADLINE
This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.
INTRODUCTION
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
BASIC QUALIFICATIONS
What you'll bring to the table:
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
COMPENSATION
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Canada Base Salary Band: $140,000 CAD - $192,500 CAD
USA Base Salary Band: $128,000 USD - $176,000 USD
BENEFITS
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
DIVERSITY AND INCLUSION
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
ABOUT STACKADAPT
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
- G2 Top Software for 2026
- 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
- #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
- 2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards
To learn more about our privacy practices, please see our Privacy Policy.
LOCATION
StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.
APPLICATION DEADLINE
This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.
See All 23 Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist JobsRemote Applied Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Marketing & Advertising
- Construction & Real Estate
- Consulting & Professional Services
- Insurance
What Employers Look For
The qualifications that appear most often in remote applied scientist jobs.
- Master's or PhD in computer science, statistics, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing and deploying machine learning models in production environments
- Strong foundation in statistical modeling, experimentation design, and A/B testing methodology
- Experience working with large-scale distributed data systems using tools like Spark or SQL
- Ability to communicate model design decisions and trade-offs clearly to non-technical stakeholders
Tips for Your Remote Applied Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote applied scientist openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Build a public portfolio of model work
Remote hiring managers can't watch you work, so documented outputs matter more than credentials. Publish reproducible notebooks, write up experiment results, or contribute to open-source ML libraries to give reviewers concrete evidence of your applied work.
Show async communication skills explicitly
Remote applied scientist teams run on written communication. Include examples of technical design docs, research write-ups, or async project updates you've authored, because remote employers screen for the ability to move projects forward without synchronous check-ins.
Target remote-first companies over remote-optional ones
Remote-first firms have built their entire research and engineering workflow around distributed work, so applied scientists there have full access to data, compute, and team context without fighting office-centric processes. Look for companies where remote is the stated default, not a policy exception.
Remote Applied Scientist Jobs: Frequently Asked Questions
How do I get a remote applied scientist job?
Target companies with established remote engineering cultures, such as remote-first SaaS firms and distributed research teams, where async collaboration is already the norm. Remote employers screen heavily for self-direction, clear written communication, and the ability to scope and execute projects without daily oversight. Demonstrating published work, open-source contributions, or documented model results gives you a concrete edge over candidates with equivalent credentials but no visible output.
Which companies hire remote applied scientists?
Employers currently hiring remote applied scientists include Zillow, Innodata, and StackAdapt, per current remote listings on Migrate Mate as of August 2026. Remote applied scientist roles tend to concentrate at remote-first technology companies, distributed cloud and AI platforms, and large enterprises running global research teams across software, healthcare, and financial services.
Can you get a remote applied scientist job with no experience?
Yes, but remote entry-level applied scientist roles are harder to land because you must demonstrate independence from day one without an in-office team to lean on. Remote-first startups and research-oriented technology companies are the most likely to hire junior applied scientists. A portfolio of documented personal or academic projects, strong Python or ML framework skills, and clear written communication can substitute meaningfully for formal work history.
Do you need a degree for remote applied scientist jobs?
Usually, but not always. Most remote applied scientist postings list a graduate degree in computer science, statistics, or a related field as a preference, not a hard requirement. Remote employers weigh demonstrated technical output, such as published research, open-source model work, or Kaggle results, alongside formal credentials, and a strong practical portfolio can open doors that a degree alone does not.
Which industries hire the most remote applied scientists?
Most remote applied scientist openings sit in Technology & Software, Marketing & Advertising, and Construction & Real Estate, per current remote listings on Migrate Mate as of August 2026. Those sectors hire applied scientists remotely because their core research and modeling work is fully portable, making distributed teams a practical default rather than an exception.
See All 23 Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist Jobs