Remote Senior Data Scientist Jobs (No ghost jobs, direct from employers)
- 75 companies
- $164K median pay
- 100% remote
Senior data scientist jobs you can do from home, checked every hour. Every posting shows pay where listed, posting age, company reviews and a ghost-job check, so you apply only where someone is hiring.
123 jobs found
- 6 days agoLow ghost riskConstructor.ioRemote$80K - 120KSenior
- 6 days agoLow ghost riskPorch.comRemote$139K - 194KSenior
- 14 hours agoLow ghost riskCarrum HealthRemote$190K - 225KSenior
- 14 hours agoLow ghost riskCarrum HealthRemote$190K - 225KSenior
- 1 day agoLow ghost riskSalesforce.com, Inc.RemoteSeattle, WA$149K - 224KSenior
- 1 day agoLow ghost riskSalesforce.com, Inc.RemoteCA$149K - 246KSenior
- 1 day agoLow ghost riskSalesforce.com, Inc.RemoteAtlanta, GA$149K - 224KSenior
- 1 day agoLow ghost riskSalesforce.com, Inc.RemoteNew York, NY$149K - 224KSenior
- 1 day agoLow ghost riskSalesforce.com, Inc.RemoteBellevue, WA$149K - 224KSenior
- 1 week agoLow ghost riskZillowRemote$144K - 242KSenior
- 1 week agoModerate ghost riskCapgemini Holding IncRemoteNoida, UP$85K - 125KSenior
- 6 days agoLow ghost riskHopperRemote$140K - 180KSenior
- 1 week agoLow ghost riskNerdwalletRemoteNerdWallet US$140K - 180KSenior
- 1 week agoLow ghost riskVeeva SystemsRemoteBoston, MA$95K - 175KSenior
- 1 week agoLow ghost riskVeeva SystemsRemoteNew York, NY$95K - 175KSenior
- 1 week agoLow ghost riskCustomer.ioRemote$140K - 160KSenior
- 14 hours agoLow ghost riskCarrum HealthRemote$175K - 200KSenior
- 1 week agoModerate ghost riskEmpowerRemote$140K - 180KSenior
- 1 week agoLow ghost riskNerdwalletRemoteNerdWallet Canada$110K - 150KSenior
- 2 weeks agoLow ghost riskPhantom TechnologiesRemote$120K - 180KSenior
Why this job matches
See how well your resume fits this job and what it is missing.
About Us
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
About The Role
We are hiring Senior Data Scientists across multiple teams at Constructor. Wherever you land, you will work with data from some of the world's largest ecommerce companies, applying statistics and machine learning to problems that directly move business metrics like revenue and conversion rate.
Our data scientists design and analyze experiments, dig into how our ranking, personalization, and recommendation algorithms behave, and connect model performance to real business outcomes. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.
What You'll Do
- Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit
- Apply statistical methods and machine learning to solve business and product problems
- Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them
- Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams
- Build analyses, models, and tools that help teams make better decisions
- Communicate findings clearly to technical and business stakeholders
Requirements
- Strong experience solving business problems using data science and statistics
- Solid knowledge of SQL and experience working with large datasets
- Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries)
- Deep understanding of A/B testing, experiment design, and statistical inference
Product & data understanding:
- Understanding of machine learning systems: how models are trained, evaluated, and tuned
- Experience connecting model or algorithm performance to product funnels and business metrics
- Familiarity with ranking, recommendations, or search relevance is a plus
Communication & ownership:
- Ability to communicate insights clearly to both technical and business audiences
- Comfortable working independently with multiple stakeholders in a fast-paced environment
Preferred skills:
- Experience working in e-commerce or with large-scale user behavioral data
- Experience in customer-facing analytical work
Benefits
- Work with smart and empathetic people who will help you grow and make a meaningful impact.
- Regular team offsite events to connect and collaborate.
- Fully remote team - choose where you live.
- ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- ️ Work from home stipend! We want you to have the resources you need to set up your home office.
- Apple laptops provided for new employees.
- Training and development budget for every employee, refreshed each year.
- Maternity & Paternity leave for qualified employees.
- Base salary: $80k-$120K USD depending on knowledge, skills, experience, and interview results
- Stock options - offered in addition to the base salary
Diversity, Equity and Inclusion At Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.
Company Reviews
Employee reviews4.6
63 Reviews- Great company, a place where they really care about their people2026-01-13T14:10:29.377
Pros: Fully remote company, gives you the ability to work from anywhere, but great company meet-ups and incentives. A great market leading product, and the founders and good people
Cons: None I can think of
- Good place with a good people2026-01-01T22:49:18.280
Pros: Fully remote environment with bonuses for remote work. Pleasant and experienced colleagues. A lot of interesting tasks for growth
Cons: In any distributed team there are some issues with meetings and schedules but not critical.
- Fantastic2025-11-06T00:21:10.667
Pros: Great team to who invest their time in helping you succeed Base pay + comms = very high Great CEO and CTO who take the time to meet with you Generous company which invests in your development Not a cut throat culture - you win as a team
Cons: Lack of structured training in onboarding but your team mates will spend a lot of 1:1 time with you to get you up to speed.
Related jobs by role, place and level
Every page lists all openings, with likely ghost jobs flagged. Checked every hour.
Frequently asked questions about remote senior data scientist jobs
What is a ghost job?
A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.
You spend an evening tailoring an application, and nobody on the other side is looking for you.
What do remote senior data scientist jobs pay?
Across the postings here that list pay, the median is about $164,000 a year. About 6 in 10 of these postings list a pay range; the rest show an estimate, marked as one.
How many remote senior data scientist jobs are there?
At our last count there were about 120 open postings from 75 employers. The list on this page is live, so the count above it is the current one.
Are these jobs fully remote?
This page lists only postings the employer marked as remote. Many are still tied to a country or a time zone, so check the location on the posting before you apply.
How does Enhancv spot a ghost job?
Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.
How fresh are the job postings?
Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.











