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Top Data Science Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Founders includes former executives from some of the world's top organizations, including the ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Founders includes former executives from some of the world's top organizations, including the ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

... Top Candidates May Have: * Bachelor's degree or higher in data science, computer engineering, electrical engineering or related degree (selected candidates must complete their degree by their start ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

Blend360

Marketing Data Science Manager

Columbia, MD

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

SoFi

Senior Manager, Data Science

Manhattan, NY · On-site

They are seeking a Senior Manager of Data Science to lead a team of Data Scientists, improve data ... top talent • Ensure that the team is operating in an agile and efficient manner • Stay up-to ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA · On-site

$106K - $132K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of ... About XPO XPO is a top ten global provider of transportation services, with a highly integrated ...

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Top Data Science information

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$37.5K

$122.7K

$196.5K

How much do top data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for top data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Top Data Science vs Data Analyst?

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

What are the key skills and qualifications needed to thrive as a Top Data Scientist, and why are they important?

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

Which 5 jobs will survive AI?

Top data science roles such as data analysts, machine learning engineers, data engineers, AI specialists, and business intelligence analysts are expected to persist as AI automates routine tasks. These jobs require advanced analytical skills, programming knowledge, and domain expertise that are less susceptible to automation. Continuous learning and proficiency in tools like Python, R, and SQL will help professionals stay relevant.

What professions make 500,000 a year?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer can earn $500,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or executive positions that oversee data strategy and teams.

What jobs pay 200,000 a year in the USA?

In data science, senior roles such as Lead Data Scientist, Data Science Manager, or Principal Data Scientist can earn $200,000 or more annually, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. High-paying roles often require advanced degrees, strong domain knowledge, and leadership responsibilities within organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is the best job in data science?

The top data science roles include data scientist, machine learning engineer, and data analyst, depending on experience and specialization. Data scientists typically require strong programming skills in Python or R, knowledge of statistical methods, and experience with data visualization tools. These roles often offer high demand, competitive salaries, and opportunities to work on complex data-driven projects.
More about Top Data Science jobs
What states have the most Top Data Science jobs? States with the most job openings for Top Data Science jobs include:
What job categories do people searching Top Data Science jobs look for? The top searched job categories for Top Data Science jobs are:
Top Data Science jobs near you
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Posted 25 days ago

Job description

Applied Data Science Summer Internship
About Us:
Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.
Program Details:
Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.
This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.
  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:
Interns will contribute to real data innovation projects involving:
  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.
Mentorship & Learning
Interns will work closely with experienced staff and technical mentors with expertise in:
  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:
  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:
We welcome applications from:
  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.
Strong candidates typically demonstrate:
  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply