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Data Science Jobs (NOW HIRING)

Optimize Partners

Director, Data Science

New York, NY · Hybrid

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness ...

Fannie Mae

Data Science Advisor

Washington, DC · On-site

You will apply expertise in data science, machine learning, AI, large-scale data processing, computational programming, and practical problem solving, while clearly explaining technical solutions to ...

PROPRIUS

Director Data Science

San Francisco, CA

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data Science A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team.

Fidelity Investments

Director, Data Science

Boston, MA · On-site

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will not provide immigration sponsorship for this position. Are you interested in operating as a senior ...

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Weekday AI

Data Science Experts

$70 - $100/hr

We are seeking experienced Data Science professionals with strong expertise in statistical analysis, machine learning, predictive modeling, and quantitative reasoning to contribute to the development ...

Novartis

Director, Data Science

East Hanover, NJ · On-site

They are seeking a Director of Data Science to lead the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization.

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DATA Science information

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$37.5K

$122.7K

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How much do data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about DATA Science jobs
What cities are hiring for Data Science jobs? Cities with the most Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Data Science jobs? States with the most job openings for Data Science jobs include:
What job categories do people searching Data Science jobs look for? The top searched job categories for Data Science jobs are:
DATA Science jobs near you
Infographic showing various Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director, Data Science

Director, Data Science

Optimize Partners

New York, NY • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Optimize Partners provides IT staffing solutions to tech startups and Fortune 500 companies in the New York metro area, and beyond. One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including multiple data projects.


Responsibilities:

  • As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of complex data projects, and also work externally with bank and other financial services partners.
  • Manage the data science projects in an Agile environment, provide coaching and mentorship to team members as needed
  • Establish Data Science role models and best practices in the organization
  • Communicating data driven insights to business audiences through simple visualization
  • Make data driven recommendations to improve operational efficiencies in underwriting, marketing, and sales


Qualifications:

  • 4-year degree; advanced degree or post-doctoral preferred.
  • At least 3 years of experience in managing a team of Data Scientists.
  • Overall 10+ years of experience with data science, credit risk management experience is a definite plus
  • 2-4 years of credit risk modeling experience
  • 2+ years of experience with Python programming
  • Extensive, hands-on experience with relevant methodologies in classical statistics, big data, supervised and unsupervised learning models with emphasis on communicating the analysis to business audiences through visual and other methods.
  • Prior experience to creating and allocating relevant individual workstreams to data science team members and be able to synthesize team efforts and prepare succinct presentations to C-level and to the Credit Risk Committee.
  • Ability to interact effectively and independently with other functional units, such as underwriting, marketing, sales, and software developers to address their analytical needs in a time-sensitive environment.
  • Strong conceptual thinking skills, highly motivated, outcome-focused, dynamic, and capable of guiding and inspiring their team to perform at a high level.


What to Expect, If Hired

  • Health, Vision and Dental Insurance
  • 401(k) retirement savings plan, with Employer match
  • Unlimited Paid Time Off
  • Hybrid work location

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