8,670 Data Scientist Jobs (July 2026) - Apply with AI
Explore data scientist jobs across roles that may involve modeling, experimentation, analytics, machine learning, data storytelling, and work with product or business teams. Listings can vary by seniority, workplace setup, and technical stack, so review each data scientist role for the tools, domain focus, and collaboration expectations. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent.
Quantitative Data Scientist
HybridThe Quantitative Data Scientist is essential in connecting research and technology to drive systematic trading and options research for kpler. This full-time hybrid position focuses on creating and maintaining data pipelines, sourcing datasets, and developing tools for quantitative analysis. Ideal candidates possess strong software engineering and mathematical skills, and are experienced in handling large financial datasets.
Posted 1 day ago
Applied Data Scientist
RemoteShift5 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
Junior Data Scientist
On-siteJoin bet365, a global leader in online gambling since 2000, as a Junior Data Scientist. We seek curious individuals ready to tackle real-world challenges and make impactful contributions. You'll work alongside experienced colleagues, deploying machine learning solutions to production while gaining hands-on experience with cutting-edge tools. This is an opportunity to thrive in a dynamic environment that values practical results. Ideal candidates possess a proactive approach, strong coding skills in Python, and a solid understanding of data science principles.
Posted 5 days ago
Junior Data Scientist
RemoteOGC 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
Junior Data Scientist
On-siteJoin the Emerging Tech Standard Delivery Team at LSEG as a Junior Data Scientist. You will collaborate with Operations and Technology teams to create data-driven solutions that enhance business value. This role demands strong analytics and machine learning skills, as well as a passion for financial data and emerging technologies. You will support the development of financial analytics pipelines, assist in model implementation, and engage with cloud-based development while working in a dynamic team environment. Ideal candidates possess a foundational understanding of data science principles and thrive in a collaborative setting.
Posted 1 week ago
Junior Data Scientist
ANYThe Junior Data Scientist position at kepora seeks a candidate with over a year of experience in statistics, operations research, or advanced mathematics. Applicants need to possess expertise in R or Python and apply scientific methods for qualitative and quantitative analyses. A collaborative mindset and the ability to thrive in a fast-paced environment are essential. Candidates must have U.S. citizenship and a TS/SCI security clearance with Full Scope Polygraph.
Posted 2 weeks ago
Junior Data Scientist
RemoteCobblestone 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
Junior Data Scientist
RemoteCobblestone 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
Junior Data Scientist
On-siteBoeing Vancouver is seeking a Junior Data Scientist for its Digital Services team. This hybrid position based in Richmond, British Columbia focuses on leveraging data science to enhance customer-facing software tools in the aviation industry. Candidates should have a strong foundation in machine learning, Python, and data querying, and be adept at collaborating with cross-functional teams. The role emphasizes problem-solving in structured and semi-structured text analysis, with a strong interest in Natural Language Processing technologies preferred.
Posted 2 weeks ago
Research Data Scientist
On-siteJoin Penn State's Geospatial Data Science team as a Research Data Scientist, contributing to applied research with real-world applications like defense and disaster relief. The role involves leading collaborative programs, automating workflows, developing algorithms, and supporting scientific research efforts. Candidates should have experience in Data Sciences or related fields, with programming skills in Python, R, Java, C++, or Matlab. A commitment to creativity, collaboration, and communication is essential. A competitive salary range of $76,700 to $115,100 and a comprehensive benefits package is offered.
Posted 1 week ago
Research Data Scientist
RemoteScaling.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
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Research Data Scientist
Hybriddunnhumby is seeking a Research Data Scientist to join their innovative team. This role focuses on transforming complex business challenges into data science solutions using advanced AI algorithms. The successful candidate will help identify new opportunities in data science for future solutions at dunnhumby. Required qualifications include a degree in statistics or math, 2-5 years of relevant experience, and proficiency in Python and machine learning techniques. The company offers a comprehensive rewards package and promotes a culture of diversity and inclusion, alongside a commitment to flexible working arrangements.
Posted 3 weeks ago
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Data Scientist Salary Data in the United States (July 2026)
Review salary information for Data Scientist roles across the United States, based on 8,670+ active postings. Use this section to compare compensation signals for data science openings that may include analytics, modeling, machine learning, and applied statistics work.
Average Salary
$105k
$145k
$191k
25th
50th
75th
Based on 8,670 roles currently tracked by LiftmyCV. Last updated on Jul 4, 2026
Salary Distribution
Based on 8,670 roles currently tracked by LiftmyCV. Last updated on Jul 4, 2026
| Experience Level | 25th Percentile | Median (50th) | 75th Percentile | Sample Size |
|---|---|---|---|---|
| Overall | $104,750 | $145,000 | $191,250 | 3,492 |
| Entry-Level | $63,750 | $85,000 | $102,881 | 12 |
| Mid-Level | $100,000 | $140,040 | $192,500 | 53 |
| Senior-Level | $134,092.75 | $167,025 | $205,812.5 | 62 |
"For Data Scientist jobs in 2026, I’m seeing employers separate research-heavy profiles from product analytics and machine learning work much earlier in the process. A resume that only says Python, SQL, and modeling can feel too broad. The sharper applications connect experimentation, stakeholder questions, model evaluation, and business decisions, especially when the role sits between analytics, engineering, and product teams."
Marina's Market Take
Senior HR Leader & Lead Tech Recruiter
How to Land a Data Scientist Job in 2026
Data scientist jobs in 2026 usually reward candidates who can connect modeling work to business decisions, not just list Python libraries or coursework. Your application should show where you have worked with messy data, chosen a modeling approach, evaluated results, and explained the tradeoff to a product, analytics, operations, finance, or growth team.
Position yourself within a clear data scientist lane. If your background is product analytics, emphasize experimentation, metrics design, user behavior analysis, and SQL-heavy work. If you are closer to machine learning, show model development, feature engineering, validation, deployment awareness, and monitoring. For research-oriented data science roles, highlight statistical methods, causal inference, forecasting, NLP, computer vision, or other methods that match the listing. A general “data scientist” profile can feel unfocused when the role description is asking for a product decision partner or a modeling specialist.
- Lead with tools only when they support the work. Python, R, SQL, pandas, scikit-learn, Spark, notebooks, dashboards, and cloud platforms should appear next to projects, datasets, or production decisions.
- Show business context. Mention churn, pricing, fraud, recommendations, experimentation, forecasting, marketplace efficiency, customer segmentation, or operational planning when those problems match the job description.
- Make your portfolio selective. A few finished projects with clear assumptions, evaluation metrics, and limitations are more useful than a long list of disconnected notebooks.
- Read seniority signals carefully. Entry-level data scientist roles may focus on SQL, analysis, and supervised modeling, while senior roles often expect project ownership, stakeholder communication, ambiguous problem framing, and mentoring.
- Search by adjacent titles. Data scientist openings may also appear as machine learning scientist, product data scientist, decision scientist, applied scientist, statistical analyst, or analytics scientist.
LiftmyCV helps you find data scientist jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster.
Required Skills
Resume Tips
For data scientist resumes, lead with the work that shows how you turned data into decisions: predictive modeling, experimentation, forecasting, segmentation, NLP, recommendation systems, anomaly detection, or causal analysis. Name the tools employers expect to scan quickly, such as Python, SQL, R, pandas, scikit-learn, TensorFlow, PyTorch, Spark, Databricks, Snowflake, Tableau, Looker, or Airflow. If you have an MS, PhD, AWS, Google Cloud, Azure, or Databricks certification, place it where it supports the role, not as filler.
Cut long coursework lists, vague “data-driven” claims, and project descriptions that never explain the business question. A Kaggle model can help, but only if you explain the dataset, evaluation metric, and why the approach mattered. For 2026 data scientist jobs, hiring managers usually need to see clean evidence of modeling judgment, statistical reasoning, and communication with product, marketing, risk, finance, or operations teams.
Weak bullet: “Built machine learning models to analyze customer data.”
Stronger bullet: “Built a Python and SQL churn model using XGBoost, validated performance with AUC and lift charts, and translated risk segments into retention recommendations for the lifecycle marketing team.”
Use bullets that pair methods with outcomes: A/B testing tied to product changes, forecasting tied to inventory planning, or clustering tied to campaign strategy. 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
Interviews for Data Scientist jobs in 2026 usually test both statistical judgment and the ability to turn messy data into a usable decision. Prepare examples that show how you framed a problem, selected a model or analysis method, checked assumptions, and explained tradeoffs to product, operations, or business stakeholders.
Expect technical screens with SQL, Python, statistics, and experimentation. A common format is a live query exercise, such as finding cohort retention from event tables, followed by questions about joins, missing data, outliers, and metric definitions. You may also see a take-home case asking you to analyze churn, forecast demand, or evaluate an A/B test with clear recommendations.
Build a short portfolio review around two or three projects with metrics, not just notebooks. Be ready to discuss feature selection, leakage, validation strategy, model performance, and why a simpler baseline may have beaten a complex approach. For product-facing Data Scientist roles, practice explaining confidence intervals, experiment design, and business impact without hiding behind jargon.