2,001 Remote Data Scientist Jobs (July 2026)

Remote data scientist openings in July 2026 can span product analytics, machine learning, experimentation, forecasting, and decision science work, with many roles asking for Python, SQL, statistics, and clear communication with business or product teams. Candidates should expect job descriptions to vary by seniority, from hands-on modeling and dashboard analysis to research-heavy or stakeholder-facing data roles. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent.

Live Status:
Jul 4, 2026
2,001+ Active Roles
Updated Daily
Shift5

Applied Data Scientist

Remote
Shift5Rosslyn, VA or Remote

Shift5 is seeking an Applied Data Scientist to join their Data Science team. This role involves collaborating with customers to derive insights, structuring complex business problems, and delivering scalable data science solutions. The candidate will manage projects from initial definitions to actionable outcomes, while also working with cross-functional teams to enhance operational data applications. Strong technical and communication skills are essential, as well as the ability to travel up to 40%. Salary ranges from $120,000 to $170,000, with various benefits offered.

Posted 2 weeks ago

OGC Global

Junior Data Scientist

Remote
OGC GlobalMadrid, Comunidad de Madrid, SpainFinancial ModelingClient Communication and engagement including building and delivering decks and reportsTransform large volumes of data from internal and external systems in a manner suitable for analysis1-3 years of experience in data analysisAfghanistanAfghanistan

OGC is a specialized research and consulting agency focusing on data-driven strategies and analytics. We are looking for a full-time Data Scientist to join our Telecommunications practice. This role offers the opportunity to work closely with a Fortune 500 company, implementing an analytical approach to enhance client insights and business growth. Ideal candidates will have a degree in a related field and 1-3 years of experience in data analysis, with strong quantitative and programming skills. This is a remote position working U.S. East Coast hours.

Posted 5 days ago

CE

Junior Data Scientist

Remote
Cobblestone Energy.Dubai, UAE

Cobblestone Energy is seeking a full-time Junior Data Scientist to join their Commercial team in Dubai. The ideal candidate will analyze large datasets, develop predictive models, and collaborate with trading teams. The position offers competitive compensation, equity participation, and a supportive work environment, including comprehensive health insurance and relocation assistance. Applicants should possess a degree in a related field and knowledge of Python, R, and data manipulation tools.

Posted 2 weeks ago

CE

Junior Data Scientist

Remote
Cobblestone Energy`Dubai, UAE

Cobblestone Energy is looking for a Junior Data Scientist based in Dubai. The role involves data preparation, predictive modeling, and collaboration with various teams to enhance trading strategies. The candidate should possess a degree in a relevant field and strong programming skills. A competitive salary along with various benefits such as a comprehensive health insurance and relocation support is offered. Candidates will have opportunities for professional growth and equity participation in the company.

Posted 2 weeks ago

Scaling.com

Research Data Scientist

Remote
Scaling.comTELECOMMUTE, Utah, United States

Scaling.com seeks a Ph.D.-level Research Data Scientist to enhance research capabilities and drive analysis in a unique dataset of over 500 Scalers targeting significant business growth. The role involves identifying patterns and insights by studying high performers within the dataset and disseminating findings through white papers and academic articles. Collaboration with founders and various teams will be integral, with the potential for team expansion as the research effort matures.

Posted 2 weeks ago

Brillio

Principal Data Scientist

Remote
BrillioEdison, New Jersey, United States

Brillio is seeking a Principal Data Scientist with 15-18 years of experience in advanced data science roles. This role requires extensive leadership in deploying statistical and machine learning solutions, collaborating with cross-functional teams, and mentoring junior data scientists. The ideal candidate will have expertise in statistical modeling, data pipeline automation, and a strong background in programming with Python, R, and ML frameworks. Brillio is known for its commitment to client satisfaction and employee development, consistently ranked as a great place to work.

Posted 2 weeks ago

AvePoint

Principal Data Scientist

Remote
AvePoint

As a Principal Data Scientist at AvePoint, you will play a pivotal role in advancing data-driven solutions. This position requires expertise in machine learning, data analysis, and collaboration with cross-functional teams. You will be responsible for designing frameworks and models to analyze large datasets, ultimately driving better business decisions. Creativity and problem-solving skills will be essential as you help shape our data strategies and contribute to innovative projects.

Posted 3 weeks ago

Sift

Staff Data Scientist

Remote
SiftRemote - United States

Sift is seeking a Staff Data Scientist for its Data Science team, which is responsible for the company's machine learning backbone for fraud detection. This role involves collaborating with ML engineers and customer success teams to reduce false positives and enhance fraud pattern recognition. The ideal candidate will have extensive experience in fraud and information security modeling, strong statistical background, and the ability to build innovative solutions that inform fraud patterns and enhance model performance. Success will be measured by achieving superior model outcomes and establishing robust frameworks for ongoing fraud detection.

Posted 3 weeks ago

Zicasso

Marketing Data Scientist

Remote
ZicassoTELECOMMUTE, Texas, United States

Zicasso, acclaimed for its luxury travel services since 2008, seeks a Marketing Data Scientist. This remote role involves data analysis to influence strategic decisions and improve customer experiences. Candidates should have a background in statistics or computer science, with strong skills in machine learning and data visualization. Responsibilities include developing predictive models and collaborating with various teams to enhance operations. Zicasso values creativity and initiative, offering a flexible work environment and a competitive benefits package. Join us in shaping the future of luxury travel.

Posted 3 weeks ago

SM

Product Data Scientist

Remote
Software MindKrakow, Poland

Software Mind is seeking experienced Product Data Scientists for a 6-month project to enhance analytical capabilities within their Data team. The role involves acting as a strategic consultant, driving the analytical lifecycle, and using AI tools for efficiency. The ideal candidate will have strong experience in an analytical role, fluency in SQL and scripting languages, and a passion for understanding user behavior. Besides providing opportunities for professional growth, the position offers flexible work options and the chance to work on international projects.

Posted 3 weeks ago

Brego

Lead Data Scientist

Remote
BregoTELECOMMUTE, Silverstone, United Kingdom

Brego is seeking a Lead Data Scientist to spearhead AI and machine learning initiatives to enhance vehicle valuation, pricing, and risk decisions. This position involves hands-on leadership, where you will manage the full lifecycle of machine learning systems while collaborating with engineering and product teams to drive tangible business outcomes. You'll be integral in designing, deploying, and optimizing models, ensuring their performance and reliability in the production environment.

Posted 5 days ago

Smarsh

Lead Data Scientist

Remote
SmarshAtlanta / New York / United States - Remote

As a Lead Data Scientist specializing in NLP and Financial Compliance at Smarsh, you will oversee the development of advanced natural language processing and large language model solutions for compliance and surveillance. This role involves tackling complex issues in financial supervision and regulatory compliance, leveraging both technical skills in NLP and a strong understanding of financial behaviors. You will also mentor junior team members and collaborate with various stakeholders, gaining diverse insights while contributing to innovative solutions.

Posted 2 weeks ago

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Marina Galkina

Marina Galkina

Senior HR Manager, Lead Tech Recruiter, and Career Consultant

Remote Data Scientist Salary Data in July 2026

This section summarizes salary information for Remote Data Scientist jobs, including postings across data science, machine learning, analytics, and statistical modeling roles. It uses 2,001+ active postings as context where salary details are available.

Average Salary

$103k

$143k

$186k

25th

50th

75th

Based on 2,001 roles currently tracked by LiftmyCV. Last updated on Jul 4, 2026

Salary Distribution

Entry327 jobs
$65k$65K$95k
Mid655 jobs
$107k$142K$174k
Senior1,019 jobs
$130k$173K$198k

Based on 2,001 roles currently tracked by LiftmyCV. Last updated on Jul 4, 2026

Remote Data Scientist Jobs salary ranges based on 701 job listings tracked by LiftmyCV
Experience Level25th PercentileMedian (50th)75th PercentileSample Size
Overall$103,155$143,200$186,250701
Entry-Level$65,000$65,000$95,0009
Mid-Level$106,937.5$142,000$174,40018
Senior-Level$130,212.5$172,500$197,75028

"Remote data scientist hiring in 2026 tends to reward candidates who can show more than model-building ability. Recruiters often look for evidence of clean experimentation, stakeholder communication, production-aware workflows, and comfort working across async teams. The strongest remote profiles usually connect Python, SQL, statistics, and business judgment to decisions a product, growth, finance, or operations team can actually use without constant hand-holding."

Marina's Market Take

Senior HR Leader & Lead Tech Recruiter

How to Land a Remote Data Scientist Role in 2026

Remote data scientist roles in 2026 usually reward candidates who can show clear ownership of analysis, modeling, and business-facing decisions without relying on in-office context. Your application should connect technical work to a specific lane, such as product analytics, experimentation, machine learning, forecasting, risk modeling, customer behavior analysis, or operations analytics. A remote data scientist profile reads better when it shows how you scoped messy questions, worked with stakeholders across time zones, and turned Python, SQL, notebooks, dashboards, or model outputs into decisions people could use.

Position your experience around the kind of data science work you want next. For product data scientist roles, emphasize experiment design, metric definition, funnel analysis, retention work, and communication with product managers. For machine learning data scientist roles, show feature work, model evaluation, deployment handoffs, monitoring, and collaboration with engineering. For analytics-heavy roles, lead with SQL depth, statistical reasoning, dashboard interpretation, and examples where your analysis changed roadmap, pricing, support, growth, or operations decisions.

  • Show remote operating habits: mention async documentation, written analysis summaries, stakeholder updates, reproducible notebooks, and clear handoffs to engineering, product, or leadership.
  • Match the role’s data stack: prioritize listings that align with your actual tools, such as Python, R, SQL, dbt, Snowflake, BigQuery, Spark, Tableau, Looker, notebooks, experimentation platforms, or cloud ML workflows.
  • Use project evidence carefully: highlight one or two projects with the dataset problem, method, decision, and result. A churn model, marketplace experiment, fraud signal, or forecasting workflow is stronger than a long list of algorithms.
  • Filter remote roles by collaboration style: fully remote, hybrid-remote, async-friendly, distributed team, and time-zone expectations can change the daily work of a data scientist role as much as the modeling requirements.

LiftmyCV helps you find remote data scientist jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster.

Required Skills

Python
SQL
machine learning
statistical modeling
data analysis
data visualization
predictive modeling
experiment design
feature engineering
model evaluation
data cleaning
analytics reporting
R
cloud platforms
big data
documentation
remote collaboration

Resume Tips

For remote data scientist roles, your resume should show that you can turn messy data into decisions without needing constant in-person context. Lead with Python or R, SQL, statistical modeling, experiment design, machine learning, and cloud or notebook tools such as AWS, GCP, Databricks, Snowflake, BigQuery, Jupyter, Git, Airflow, or dbt when they match your work. If you have experience with stakeholder-facing analysis, remote collaboration, product analytics, forecasting, NLP, recommendation systems, or A/B testing, put that near the top rather than burying it under coursework.

Cut vague lines about being “data-driven” or “passionate about insights.” Also remove long lists of libraries you’ve barely used. A remote data scientist resume is stronger when each project explains the dataset, method, business question, and result. Certifications can help if they’re directly relevant, such as AWS Machine Learning, Google Professional Data Engineer, or Databricks credentials, but they shouldn’t replace applied project evidence.

Weak bullet: “Built machine learning models to improve customer analytics.”

Strong bullet: “Built a churn model in Python using SQL-extracted product usage data, improving retention targeting by identifying high-risk customer segments for the lifecycle team.”

LiftmyCV helps you create an ATS-friendly data scientist resume tailored to each job, so your skills and experience better match what employers are looking for.

How to Prepare for Interviews

Remote data scientist interviews in 2026 usually test how you reason with messy data, explain tradeoffs, and work without constant in-person context. Prepare a few project stories that connect a model or analysis to a measurable result, such as reducing churn, improving forecast accuracy, or prioritizing customer segments. Be ready to walk through the dataset, assumptions, feature choices, validation method, and what you would change if the model failed after launch.

Expect formats such as a Python or SQL technical screen, a take-home analysis, a live statistics question, or a product case like, How would you measure whether a new recommendation feature is working? For remote roles, practice narrating your thought process clearly over video while using a shared notebook, dashboard, or whiteboard tool. If you have a portfolio, choose two or three projects with clean charts, concise methodology notes, and plain-English business takeaways. Review experiment design, regression, classification metrics, data leakage, stakeholder communication, and how you handle ambiguous requests from product, analytics, or engineering partners.

FAQ

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