Data science Job Salaries

Find salary information for remote positions requiring Data science skills. Make data-driven decisions about your career path.

Data science

Median high-range salary for jobs requiring Data Science:

$192,131

This analysis is based on salary ranges collected from 188 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 $150,000 - $192,131

  • 25% of job descriptions advertised a maximum salary above $241,800.
  • 5% of job descriptions advertised a maximum salary above $315,500.

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 Leadership, Collaboration and Machine Learning. 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.

  1. Leadership

    37% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $167,375 - $208,950

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $340,000.
  2. Collaboration

    43% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $157,800 - $206,000

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $330,225.45.
  3. Machine Learning

    53% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $158,400 - $205,000

    • 25% of job descriptions advertised a maximum salary above $241,350.
    • 5% of job descriptions advertised a maximum salary above $323,025.
  4. Strategy

    38% jobs mention Strategy as a required skill. The Median Salary Range for these jobs is $165,000 - $202,300

    • 25% of job descriptions advertised a maximum salary above $284,550.
    • 5% of job descriptions advertised a maximum salary above $337,900.05.
  5. Algorithms

    20% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $156,400 - $199,000

    • 25% of job descriptions advertised a maximum salary above $241,800.
    • 5% of job descriptions advertised a maximum salary above $309,200.
  6. Python

    61% jobs mention Python as a required skill. The Median Salary Range for these jobs is $155,000 - $194,000

    • 25% of job descriptions advertised a maximum salary above $237,000.
    • 5% of job descriptions advertised a maximum salary above $303,000.
  7. Communication Skills

    44% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $141,125 - $192,131

    • 25% of job descriptions advertised a maximum salary above $233,750.
    • 5% of job descriptions advertised a maximum salary above $289,400.
  8. SQL

    48% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $149,375 - $191,000

    • 25% of job descriptions advertised a maximum salary above $237,188.
    • 5% of job descriptions advertised a maximum salary above $320,000.
  9. Data Analysis

    30% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $135,000 - $160,000

    • 25% of job descriptions advertised a maximum salary above $228,500.
    • 5% of job descriptions advertised a maximum salary above $308,700.

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 Artificial Intelligence, Insurance and Fintech. 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.

  1. Artificial Intelligence

    3% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000

    • 25% of job descriptions advertised a maximum salary above $303,750.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  2. Insurance

    2% jobs are in Insurance industry. The Median Salary Range for these jobs is $179,500 - $224,500

    • 25% of job descriptions advertised a maximum salary above $339,500.
    • 5% of job descriptions advertised a maximum salary above $450,000.
  3. Fintech

    2% jobs are in Fintech industry. The Median Salary Range for these jobs is $180,000 - $220,000

    • 25% of job descriptions advertised a maximum salary above $310,000.
    • 5% of job descriptions advertised a maximum salary above $340,000.
  4. Marketing Technology

    2% jobs are in Marketing Technology industry. The Median Salary Range for these jobs is $172,000 - $209,000

    • 25% of job descriptions advertised a maximum salary above $281,500.
    • 5% of job descriptions advertised a maximum salary above $304,000.
  5. Healthcare

    3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $155,000 - $202,500

    • 25% of job descriptions advertised a maximum salary above $220,000.
    • 5% of job descriptions advertised a maximum salary above $294,000.
  6. Technology

    3% jobs are in Technology industry. The Median Salary Range for these jobs is $148,750 - $191,875

    • 25% of job descriptions advertised a maximum salary above $247,500.
    • 5% of job descriptions advertised a maximum salary above $289,400.
  7. Financial Services

    2% jobs are in Financial Services industry. The Median Salary Range for these jobs is $141,000 - $186,000

    • 25% of job descriptions advertised a maximum salary above $211,000.
    • 5% of job descriptions advertised a maximum salary above $230,000.
  8. Healthcare technology

    3% jobs are in Healthcare technology industry. The Median Salary Range for these jobs is $140,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $196,250.
    • 5% of job descriptions advertised a maximum salary above $200,000.
  9. AI observability and evaluation

    2% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $100,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $201,250.
    • 5% of job descriptions advertised a maximum salary above $210,000.
  10. Public Health

    2% jobs are in Public Health industry. The Median Salary Range for these jobs is $92,700 - $134,275

    • 25% of job descriptions advertised a maximum salary above $150,162.5.
    • 5% of job descriptions advertised a maximum salary above $166,050.

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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πŸ“ San Francisco, CA; New York City, NY; NOT STATED

🧭 Full-Time

πŸ’Έ 220000.0 - 315000.0 USD per year

πŸ” Artificial Intelligence

🏒 Company: AnthropicπŸ‘₯ 501-1000πŸ’° $4,000,000,000 Convertible Note about 1 month agoArtificial Intelligence (AI)Machine LearningGenerative AIInformation Technology

  • 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
  • 3+ years of experience embedding in Product teams.
  • Expertise in Python, SQL, and data visualization tools.
  • Strong written communication and presentation skills.
  • A passion for building helpful, honest, and harmless AI.
  • A bias for action and urgency.
  • Ability to thrive in ambiguity and initiative for clarity.

  • Deep dive into user behavior data to provide insights on safety concerns.
  • Define core metrics that measure the team's success, set goals, build forecasts, and develop actionable reporting.
  • Identify opportunities to improve the product, influencing product roadmap through insights.
  • Develop hypotheses on product changes, design controlled experiments, analyze results, and recommend actions based on impact to key metrics.
  • Establish foundational data best practices and make data more accessible across the company.

PythonSQLData AnalysisData scienceData visualization

Posted about 20 hours ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 166500.0 - 200000.0 USD per year

πŸ” Home care

🏒 Company: HonorπŸ‘₯ 1000-5000Home DecorE-CommerceSales

  • At least 5 years of product management experience at a high-growth small company or an established technology-led organization.
  • Experience leading vision and development of products or large-scale platforms.
  • A track record of managing competing priorities and evolving existing features.
  • Experience working with data science teams.
  • Excellent communication skills to articulate complex ideas.

  • Play a pivotal role in shaping the direction of products.
  • Drive products from conception to launch.
  • Work in a small, lean, and fast-paced product team.
  • Communicate effectively with technical and non-technical stakeholders.
  • Define clear success metrics and embrace experimentation.

AgileData AnalysisProduct ManagementData scienceCommunication SkillsCross-functional collaborationStakeholder management

Posted 1 day ago
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πŸ“ United States

πŸ’Έ 157800.0 - 241800.0 USD per year

πŸ” Automotive

🏒 Company: careers_gm

  • 7+ years of experience in data engineering, architecture, analytics, science, or BI applications.
  • 5+ years of experience in leading data transformation in People Analytics/HR.
  • 3+ years of experience successfully leading teams.
  • Strong understanding of HR data and employee lifecycle processes.
  • Knowledge of People Analytics technology including cloud data infrastructure.
  • Experience with SQL, R, Python and data visualization tools.
  • Experience implementing HR data governance frameworks.

  • Develop and implement People Analytics Solutions strategy & roadmap.
  • Build data environment and technology stack for People Analytics teams.
  • Lead implementation of new analytics solutions.
  • Develop enhanced dashboard data sharing and security model governance.
  • Advance AI/ML capabilities using modeling techniques.
  • Work closely with HROS, IT teams, and vendors.

PythonSQLData engineeringData scienceData visualizationData analytics

Posted 1 day ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 120000.0 - 150000.0 USD per year

πŸ” Technology

  • Bachelor's degree in Engineering, Computer Science, Business or a related field; advanced degree (MS, PhD) a plus.
  • Minimum of 3+ years of technical experience in engineering, AI/ML, data science, product management, solution architecture, sales engineering or a related field OR equivalent experience in a priority vertical such as Healthcare or Life Sciences.
  • Proven track record in a customer-facing role, preferably within the technology sector.
  • Excellent communication and interpersonal skills.
  • Ability to understand and communicate technical concepts, especially in the data and infrastructure space.
  • Good organizational skills and ability to manage a wide range of diverse projects and customer needs concurrently.
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.
  • Ability to travel to meet clients and attend industry events up to 25% of the month.
  • Clean criminal record.
  • U.S. citizenship or permanent residency (Green Card holder).

  • Work alongside Loka Sales Leads to nurture and close high-value clients.
  • Assist in the end-to-end sales process from introduction to signature.
  • Build and nurture long-term relationships with key stakeholders at AWS virtually and in person.
  • Collaborate closely with our engineering team to define project scopes and ensure the successful delivery of solutions.
  • Represent our company at industry events and conferences to enhance our visibility and expand our network.
  • Work closely with sales leads, engineers, and project managers to ensure seamless project execution and client satisfaction.

AWSProject ManagementArtificial IntelligenceCloud ComputingMachine LearningData science

Posted 2 days ago
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πŸ“ United States

πŸ’Έ 190000.0 - 294000.0 USD per year

πŸ” Healthcare

🏒 Company: Komodo HealthπŸ‘₯ 100-500πŸ’° $200,000,000 about 2 years agoπŸ«‚ Last layoff about 2 years agoPredictive AnalyticsInformation TechnologyHealth CareSoftware

  • 10+ years of hands-on experience in life sciences analytics.
  • Proven track record of success in selling and delivering related business.
  • Strong logical thinking and problem-solving abilities.
  • Proficiency in data science, statistics, and predictive modeling.
  • Client service-oriented with advanced communication skills.

  • Oversee the successful delivery of Analytic projects across core offerings such as market landscaping and predictive analytics.
  • Collaborate with Sales, Account Management, and Customer Success to develop and execute account plans.
  • Create and grow a world-class Analytics Consulting team, guiding them to high performance.

LeadershipSQLData AnalysisData scienceCollaborationClient relationship managementMarket ResearchData analytics

Posted 2 days ago
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πŸ“ AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV

🧭 Full-Time

πŸ’Έ 117000.0 - 147000.0 USD per year

πŸ” Education

🏒 Company: NicheπŸ‘₯ 51-100πŸ’° $2,500,000 Seed over 10 years agoSocial Media MarketingSoftwareSocial Media

  • Proven track record in data product management, with over 5 years of experience.
  • Strong understanding of business strategy and data product development.
  • Exceptional strategic thinking abilities to align products with company goals.
  • Relentless dedication to understanding users supported by a deep knowledge of user personas.
  • Strong collaboration and communication skills with diverse team members.
  • Highly analytical and data-driven approach to product management.
  • Familiarity with databases, data warehouses, ETL/ELT processes, and tools like SQL, Tableau, Power BI, or Looker.
  • Knowledge of data collection, storage, processing, and regulatory standards like GDPR, CCPA, and HIPAA.

  • Develop a comprehensive understanding of the company's business goals to contribute to a strategic vision for data products.
  • Prioritize and create a roadmap for data products to maximize business value and continually assess alignment with business needs.
  • Collaborate cross-functionally to plan launches of new products and advocate for users by understanding their experiences and needs.
  • Translate requirements and ensure alignment between diverse teams while managing conflicts effectively.
  • Define KPIs and success metrics to embrace a data-driven approach and ensure proper measurement of product effectiveness.
  • Engage with key stakeholders to understand needs and deliver solutions that enhance operations.

SQLData AnalysisETLTableauData scienceData visualizationData modeling

Posted 2 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 206700.0 - 289400.0 USD per year

πŸ” Advertising Technology

🏒 Company: RedditπŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 6-8+ years of product management experience, with at least 4 years within AdTech.
  • End-to-end experience with building targeting advertising solutions.
  • Demonstrated ability to develop product strategy with measurable business impact.
  • Strong communication, analytical, and problem-solving skills.
  • Strong organizational and execution capabilities.

  • Define and own the long-term vision and strategy for Auto Targeting and Core 1P Targeting.
  • Gather insights from stakeholders to inform product decisions.
  • Drive execution by setting success metrics and accountability.
  • Collaborate cross-functionally with teams including engineering, data science, and marketing.
  • Stay current with trends in ad targeting to inform product development.

Data AnalysisMachine LearningProduct ManagementData scienceAnalytical SkillsCross-functional collaborationMarket Research

Posted 3 days ago
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πŸ“ US

πŸ’Έ 117500.0 - 132500.0 USD per year

πŸ” Marketing technology

NOT STATED

  • Work collaboratively with product management, engineering, and data science teams.
  • Design intuitive and elegant solutions for the Polaris AI-driven marketing platform.
  • Ensure sophisticated AI capabilities are accessible and effective for users.

Artificial IntelligenceData scienceProduct design

Posted 4 days ago
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πŸ“ Bellevue, WA; El Segundo, CA; New York, NY

🧭 Full-Time

πŸ’Έ 250000.0 - 300000.0 USD per year

πŸ” Ad measurement

🏒 Company: iSpot.tvπŸ‘₯ 251-500πŸ’° $325,000,000 Private over 2 years agoDigital MarketingAdvertisingReal TimeTest and MeasurementMarket ResearchBrand MarketingAnalyticsMarketingInformation TechnologySoftware

  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 15+ years of experience in data science or analytics, with at least 5 years in an executive leadership role.
  • Demonstrated success in building and leading high-performing data science teams.
  • Proven track record of applying data science to drive business value.
  • Strong understanding of machine learning, AI, and statistical modeling techniques.
  • Excellent communication, leadership, and collaboration skills.

  • Develop and implement a comprehensive data science strategy aligned with the company’s vision and goals.
  • Serve as a key thought leader in the application of AI, machine learning, and advanced analytics for ad measurement.
  • Collaborate with executive leadership to integrate data science into corporate strategy.
  • Lead, mentor, and scale a multidisciplinary team.
  • Oversee data science projects ensuring quality outcomes, best practices, and data governance.
  • Partner with cross-functional teams to drive data-driven initiatives.
  • Lead the development of innovative measurement methodologies and stay updated on emerging technologies.

AWSPythonSQLArtificial IntelligenceGCPMachine LearningPyTorchData scienceTensorflow

Posted 4 days ago
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πŸ“ San Francisco Bay Area, New York City

🧭 Full-Time

πŸ’Έ 100000.0 - 210000.0 USD per year

πŸ” AI observability and evaluation

🏒 Company: Arize AIπŸ‘₯ 51-100πŸ’° $38,000,000 Series B over 2 years agoArtificial Intelligence (AI)Machine LearningInformation TechnologySoftware

  • 3+ years experience as a Developer Advocate, Data Scientist, AI/ML Engineer, or Solutions Engineer
  • Working knowledge of generative AI, machine learning, and data science
  • Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries)
  • Proficiency in Python
  • A data-driven creative who thrives in developing engaging activities for AI/ML practitioners
  • Excellent written and verbal communication skills
  • Willingness to attend evening meetups and events in the SF Bay Area

  • Create awareness through thought-provoking research that educates AI developers
  • Shape initial ideas into larger research projects based on industry knowledge gaps and new AI models
  • Execute research in weeks, not months
  • Maintain rigor and review at speeds 10x faster than typical research
  • Write research for social media, blogs, and external events
  • Plan and speak at Arize-hosted and industry events on ongoing research
  • Build an AI Twitter research presence engaging the AI community

PythonMachine LearningData science

Posted 6 days ago
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