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Data Science Research Jobs (NOW HIRING)

Applied Physics

Data Scientist

New York, NY · On-site

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Elder Research

Data Analyst (Remote)

At least two (2) years of experience applied data science research or big data analytics. * Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Instill a business-oriented mindset that drives the data science & research agenda * Build and maintain a relationship with the open-source community by creating and contributing to open-source data ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Instill a business-oriented mindset that drives the data science & research agenda * Build and maintain a relationship with the open-source community by creating and contributing to open-source data ...

Elder Research

Data Analyst (Remote)

At least two (2) years of experience applied data science research or big data analytics. * Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research ...

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Data Science Research information

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$37.5K

$122.7K

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How much do data science research jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data science research 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 40 too late for data science?

Data science research roles do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Science Researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, statistical methods, and machine learning techniques, working in research environments or industry settings to advance knowledge or solve complex problems.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

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

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

Is a Data Scientist in high demand?

Data Scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to remain strong in the coming years.

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

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
More about Data Science Research jobs
What cities are hiring for Data Science Research jobs? Cities with the most Data Science Research job openings:
What are the most commonly searched types of Data Science Research jobs? The most popular types of Data Science Research jobs are:
What states have the most Data Science Research jobs? States with the most job openings for Data Science Research jobs include:
What job categories do people searching Data Science Research jobs look for? The top searched job categories for Data Science Research jobs are:
Data Science Research jobs near you
Infographic showing various Data Science Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist Lead - Payments

Data Scientist Lead - Payments

JP Morgan Chase

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted 10 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

57th of 149 rated banks

Job description

Join the JPM Payments Data & Analytics' Merchant Services Cost Insights team at JPMorganChase, where we leverage data science, research, and business acumen to promote client-focused innovation. 

As a Data Scientist Vice President in our Merchant Services Cost Insights team, you will be delivering excellence at the intersection of data science, research, and business domain expertise. You will have the opportunity to work on projects that focus on cost-based analytics, business intelligence, data engineering, and visualization. By combining your technical skills and understanding of the business context, you will collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers.

Our team supports multiple products, including Payment Insights, Digital Merchant Insights and Customer Insights, as well as custom, ad hoc client analytics . We also act as subject matter experts on Merchant Services processing data to create a data environment that supports diverse analytic objectives. Utilizing Snowflake, Python, and Tableau, we develop data pipelines and dashboards, prototype new GenAI capabilities and features using an emerging technical stack for delivery.

Job Responsibilities
    Create innovative solutions that make a difference for our customers, clients, and employees.
    Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
    Work on agile teams to support data-driven decision-making and manage stakeholders.
    Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
    Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
    Design and refine prompts and interaction patterns to improve AI assistant performance; work with subject matter experts to align AI behavior with business goals       and user needs.
    Drive iterative development: testing, reliability evaluation, monitoring, and continuous improvement of GenAI/agentic solutions in production.

Required Qualifications, Capabilities, and Skills
    Bachelor's or Master's degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field 
    Minimum 6 years relevant work experience.
    Experience in data analysis, data science, or a related field.
    Familiarity with Snowflake for data management and analysis.
    Proficiency in Python and SQL for data processing and analysis.
    Strong problem-solving and critical thinking skills.

Preferred Qualifications, Capabilities, and Skills
    Understanding of quality assurance practices and the importance of data integrity.
    Knowledge of machine learning/data science theory, techniques, and tools.
    Awareness of big data technologies (e.g., Hive, Hadoop, Spark) and distributed computing concepts like MapReduce.
    Familiarity with data visualization tools, such as Tableau.
    Knowledge of the Software and Product Development Life Cycle .

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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