Data Scientist Salaries

Discover salary ranges for remote data scientist positions. Compare compensation data and make informed career decisions.

Data Scientist

Median high-range salary for Data Scientist jobs:

$200,000

This analysis is based on salary ranges collected from 46 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $159,900 - $200,000

25% of job descriptions advertised a maximum salary above $226,000.
5% of job descriptions advertised a maximum salary above $274,460.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include A/B testing, Data science and Data visualization. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

A/B testing
22% jobs mention A/B testing as a required skill. The Median Salary Range for these jobs is $174,344.5 - $213,250
- 25% of job descriptions advertised a maximum salary above $232,988.
- 5% of job descriptions advertised a maximum salary above $303,900.
Data science
39% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $170,000 - $206,000
- 25% of job descriptions advertised a maximum salary above $237,000.
- 5% of job descriptions advertised a maximum salary above $289,180.
Data visualization
37% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $168,700 - $206,000
- 25% of job descriptions advertised a maximum salary above $233,491.
- 5% of job descriptions advertised a maximum salary above $291,020.
Pandas
22% jobs mention Pandas as a required skill. The Median Salary Range for these jobs is $170,000 - $203,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Python
80% jobs mention Python as a required skill. The Median Salary Range for these jobs is $162,021 - $200,000
- 25% of job descriptions advertised a maximum salary above $230,500.
- 5% of job descriptions advertised a maximum salary above $267,100.
SQL
74% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $159,450 - $200,000
- 25% of job descriptions advertised a maximum salary above $226,000.
- 5% of job descriptions advertised a maximum salary above $267,100.
Machine Learning
61% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $159,900 - $200,000
- 25% of job descriptions advertised a maximum salary above $231,100.
- 5% of job descriptions advertised a maximum salary above $270,780.
Data Analysis
57% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $165,360.5 - $200,000
- 25% of job descriptions advertised a maximum salary above $232,988.
- 5% of job descriptions advertised a maximum salary above $274,460.
Communication Skills
24% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $135,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $230,250.
- 5% of job descriptions advertised a maximum salary above $302,060.
Analytical Skills
20% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $135,000 - $190,600
- 25% of job descriptions advertised a maximum salary above $213,750.
- 5% of job descriptions advertised a maximum salary above $303,900.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Online Advertising, Home services marketplace and AI and machine learning. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Online Advertising
4% jobs are in Online Advertising industry. The Median Salary Range for these jobs is $177,500 - $248,500
- 25% of job descriptions advertised a maximum salary above $267,100.
Home services marketplace
4% jobs are in Home services marketplace industry. The Median Salary Range for these jobs is $146,950 - $216,600
- 25% of job descriptions advertised a maximum salary above $242,600.
AI and machine learning
2% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $180,000 - $210,000
Mental Health
7% jobs are in Mental Health industry. The Median Salary Range for these jobs is $170,000 - $200,000
Software Development
17% jobs are in Software Development industry. The Median Salary Range for these jobs is $137,500 - $196,050
- 25% of job descriptions advertised a maximum salary above $221,142.
- 5% of job descriptions advertised a maximum salary above $303,900.
Advertising Technology
2% jobs are in Advertising Technology industry. The Median Salary Range for these jobs is $162,021 - $189,000
Finance
4% jobs are in Finance industry. The Median Salary Range for these jobs is $132,000 - $182,000
- 25% of job descriptions advertised a maximum salary above $189,000.
Biotechnology
2% jobs are in Biotechnology industry. The Median Salary Range for these jobs is $144,767 - $169,789
Biomedical and bioinformatics
2% jobs are in Biomedical and bioinformatics industry. The Median Salary Range for these jobs is $125,000 - $145,000
Artificial Intelligence / Natural Language Processing
2% jobs are in Artificial Intelligence / Natural Language Processing industry. The Median Salary Range for these jobs is $30,000 - $45,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Staff Data Scientist, Ads Experimentation

Posted 1 day ago

💸 217000.0 - 303900.0 USD per year

🔍 Software Development

🔧 Requirements

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

Posted 1 day ago

Apply

🔥 Senior Data Scientist, Product

Posted 1 day ago

💸 50000.0 - 60000.0 GBP per year

🔍 Software Development

🏢 Company: Wordwall

🔧 Requirements

3 years’ experience in a data science or product analytics role in a software development context
Experience with databases (SQL+NoSQL)
Skills in statistics, programming, and advanced spreadsheets
Solid understanding of basic statistical concepts
Excellent written and verbal communication skills

💡 Responsibilities

Discover user behavior, collaborate with the development team to create research questions, analyze evidence, and translate insights into actionable and easily understood information.

Posted 1 day ago

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🔥 Data Scientist

Posted 4 days ago

💸 101382.0 - 209296.0 USD per year

🔍 Software Development

🔧 Requirements

4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
Excellent communication skills and ability to explain learnings to both technical and non-technical partners
A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
Bachelor’s degree in Computer Science, a related field or equivalent experience

💡 Responsibilities

Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Posted 4 days ago

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🔥 Sr. Data Scientist II

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 135000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaS Enterprise Software

🔧 Requirements

Bachelor's degree and 8+ years of experience (or 10+ years of experience)
Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
Strong programming skills in Python or R

💡 Responsibilities

Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention

AWS Python SQL Data Analysis Machine Learning Tableau Data science Communication Skills Analytical Skills Data visualization

Posted 4 days ago

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🔥 Staff Data Scientist, Ads Experimentation

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWS Python SQL Apache Airflow Data Analysis Hadoop Machine Learning Numpy Cross-functional Team Leadership Product Development Algorithms Data engineering Data science Regression testing Pandas Spark Communication Skills Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted 5 days ago

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🔥 Senior Data Scientist, Growth

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Mobile Games

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper Tools Video Games Console Games Family MMO Games Social Network Mobile Online Games

🔧 Requirements

4+ years in data science for consumer apps or mobile games applications.
Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations.
Proficiency in Python (or R), SQL, and statistical modeling tools.
Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.

💡 Responsibilities

Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth.
Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions.
Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals.
Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return.
Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities.
Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations.
Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis.
Work cross-functionally with Engineers, Business intelligence, and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation.

Python SQL ETL Machine Learning Algorithms Data engineering Data science REST API Pandas Data visualization Data modeling Data analytics A/B testing

Posted 8 days ago

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🔥 Staff Data Scientist

Posted 16 days ago

💸 140000.0 - 175000.0 USD per year

🔍 Financial

🏢 Company: Octane

🔧 Requirements

7+ years in a data science role (or PhD in a quantitative field with 3+ years as a senior data science or comparable role).
High Fluency with SQL, SparkSQL Python, PySpark and statistical / ML packages.
Experience with AWS or other cloud computing environments, specifically within the data domain.
Experience with Git for code management.
Specific experience deploying machine learning models to production environments and the relevant experience working closely with Product, Data Engineering and Engineering Team members.

💡 Responsibilities

Apply state of the art machine learning, statistical modeling, and optimization techniques to drive business value.
Own the entire model development lifecycle from conception to deployment and model updates.
Convert insights into concrete, significant recommendations for business or product improvement, and succinctly communicate these findings to both executive and non-executive partners.
Analyze large data sets of proprietary and third-party data to derive insights and recommendations for policy, strategy, or product decisions.
Research and keep up to date with new modeling techniques and tools.
Mentor and guide junior data scientists, establish best practices for development, measurement and tracking of algorithm performance.

Posted 16 days ago

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🔥 Data Scientist II

Posted 21 days ago

📍 US

🧭 Regular

💸 178689.0 - 232988.0 USD per year

🔍 Software Development

🏢 Company: Pinterest Job Advertisements

🔧 Requirements

Master’s degree (or its foreign degree equivalent) in Data Science, Computer Science, Engineering (any field), or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field.
Python
Sklearn
Pandas
Numpy
R
SQL
A/B Testing
Data Visualization
Regression Testing
Exploratory Data Analysis

💡 Responsibilities

Develop best practices for instrumentation and experimentation and communicate those to EPD (Engineering, Product, and Design) teams.
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our users.
Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
Influence and evolve our product roadmap to help us fulfil our mission.
Produce inspiration to create a life consumers love.
Research data and exploratory analysis to understand user behavior and trends.
Identify opportunities for product innovation.
Telecommuting is permitted.

Python SQL Data Analysis Data Mining ETL Machine Learning Numpy Algorithms Data Structures Regression testing Pandas Data visualization Data modeling A/B testing

Posted 21 days ago

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🔥 Senior Data Scientist, Business Analytics

Posted 22 days ago

📍 United States, Canada, Philippines

💸 132600.0 - 190600.0 USD per year

🔍 Software Development

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome Services Local Service Industry Professional Services

🔧 Requirements

2+ years of professional experience
Advanced command of SQL
Experience with data visualization tools
Ability to develop compelling written narratives to explain analyses and make recommendations
Exemplary analytical problem solving skills and business judgment; ability to ask the right questions, identify missing information and synthesize insights from data
Effective collaboration with cross-functional partners (product marketing, finance, etc.) to think through product strategy and execution questions

💡 Responsibilities

Define, measure, and track the key metrics that measure Thumbtack’s success
Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
Support and improve company revenue forecasting model, and forecasting/planning process
Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
Contribute to our team and company data culture through peer collaboration, training, coaching, and more

Python SQL Business Intelligence Data Analysis RDBMS Communication Skills Analytical Skills Collaboration Microsoft Excel Problem Solving RESTful APIs Reporting Data visualization Data modeling Data analytics

Posted 22 days ago

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🔥 Senior Data Scientist, Finance

Posted 23 days ago

💸 124000.0 - 189000.0 USD per year

🔍 Finance

🏢 Company: Motive

🔧 Requirements

7+ years experience in data science
Experience using advanced quantitative, statistical, and data science techniques to build forecasting models
Experience with financial forecasting
Expert skills in spreadsheets, SQL, & Python
Experience with business intelligence tools (Tableau Preferred)
A meticulous attention to detail
Self-starter with the ability to self-project manage work
Ability and experience explaining complex technical forecasts to business stakeholders

💡 Responsibilities

Evolve core financial analyses and forecasts using large data sets and machine learning to improve their accuracy
Partner with the broader finance function and GTM teams to incorporate improved analyses and forecasts into overall financial plans
Identify and build solutions for operational use cases in forecasting —e.g. further automation, system monitoring and alerting, outlier detection, etc.
Build insightful and reliable dashboards to track performance of forecasts to actuals that will deliver insights to the whole company
Communicate forecasts and analysis to stakeholders on a regular basis including root cause analysis

Posted 23 days ago

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Shown 10 out of 51

Data Scientist Salaries

Median high-range salary for Data Scientist jobs:

Skills and Salary

A/B testing

Data science

Data visualization

Pandas

Python

SQL

Machine Learning

Data Analysis

Communication Skills

Analytical Skills

Industries and Salary

Online Advertising

Home services marketplace

AI and machine learning

Mental Health

Software Development

Advertising Technology

Finance

Biotechnology

Biomedical and bioinformatics

Artificial Intelligence / Natural Language Processing

Jobs