Explore Data Scientist Jobs

Data scientists turn complex data into insights that help organizations make informed decisions, improve products, and uncover new opportunities. Browse vetted Data Scientist job openings on Ladders, including opportunities that pay $100,000 or more. Find roles that match your experience, technical strengths, and career goals.

What Data Scientists Do

Data scientists combine statistical analysis, programming, and business knowledge to solve problems with data. Their work may include gathering and cleaning data, building predictive models, designing experiments, communicating findings, and partnering with teams to put insights into practice. Responsibilities vary by employer, industry, and seniority.

Skills and Qualifications

Employers commonly seek experience with Python or R, SQL, statistics, data visualization, and machine learning. Familiarity with cloud data platforms, big data tools, experimentation, or a particular industry can also be valuable. Strong communication skills help data scientists explain technical results and make recommendations to both technical and nontechnical audiences.

Data Scientist Career Opportunities

Data science careers span technology, finance, healthcare, retail, consulting, and many other sectors. Depending on your background, you may find positions focused on machine learning, product analytics, forecasting, research, or business intelligence. Senior and specialized roles may include greater ownership of strategy, model deployment, technical direction, or team leadership.

Find Your Next Data Scientist Role

Use Ladders to explore vetted professional opportunities with salaries of $100,000 or more. Compare job responsibilities and qualifications, then focus your search on roles that align with your skills, preferred industry, and desired level of responsibility. Job requirements and compensation vary by position and employer.

1,000+

Data Scientist Jobs

Average Salary: $130,083

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Top companies hiring for Data Scientist

Deloitte TikTok Amazon PWC TeleTech Saatchi & Saatchi Johnson & Johnson Capital One Financial Corporation Google Uber Tempus SAIC The PNC Financial Services Group, Inc Fetch Apple

Top similar job titles to Data Scientist

Data Scientist jobs Senior Data Scientist jobs Data Engineer jobs Data Science Manager jobs Principal Data Scientist jobs Machine Learning Engineer jobs Lead Data Scientist jobs Staff Data Scientist jobs Research Scientist jobs Analytics Engineer jobs AI Software Engineer jobs Data Analyst jobs Senior Data Engineer jobs Senior Applied Scientist jobs Applied Scientist jobs

Top cities hiring for Data Scientist

New York, NY jobs San Francisco, CA jobs Seattle, WA jobs Chicago, IL jobs Toronto, ON jobs San Jose, CA jobs Boston, MA jobs Washington, DC jobs Mc Lean, VA jobs Austin, TX jobs

Frequently Asked Questions (FAQ)

What does a data scientist do?
A data scientist analyzes data to identify patterns, answer business or research questions, and support decisions. The role may involve data preparation, statistical analysis, machine learning, experimentation, and presenting findings.
What skills are commonly required for Data Scientist jobs?
Commonly requested skills include Python or R, SQL, statistics, data visualization, and machine learning. Employers may also value cloud platforms, big data technologies, domain expertise, and the ability to communicate insights clearly.
What industries hire data scientists?
Data scientists work across industries such as technology, finance, healthcare, retail, consulting, and manufacturing. The specific problems and tools used depend on the organization and role.
Do Data Scientist jobs pay $100,000 or more?
Some Data Scientist openings listed on Ladders pay $100,000 or more. Compensation depends on factors such as location, experience, specialization, employer, and job scope; review each listing for details.
How can I find the right Data Scientist job?
Compare listings by responsibilities, required skills, industry, location, and seniority. Tailor your resume to highlight relevant data projects and measurable results, and review each employer's qualifications and compensation information.