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Data Researcher Jobs (NOW HIRING)

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Build and maintain robust data pipelines for research and live trading environments * Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market * Ensure the ...

1 point system

Data Research Analyst

Chicago, IL · On-site

While not mandatory, an MBA or a master's degree can be advantageous • Strong knowledge of data and statistical concepts; ability to synthesize multiple data sources (primary research, syndicated ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

This Data Scientist / Researcher will collaborate closely with other HOF Capital team members to provide the firm and its portfolio companies with important data-driven insights and to produce high ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

This Data Scientist / Researcher will collaborate closely with other HOF Capital team members to provide the firm and its portfolio companies with important data-driven insights and to produce high ...

Corgan

Design Researcher: Data Strategist

Dallas, TX · On-site

Corgan is actively recruiting a dynamic Design Researcher - Data Strategist to join the firm as part of our Hugo team. Tackle these responsibilities alongside a team of creative, highly motivated ...

Corgan

Design Researcher: Data Strategist

Dallas, TX · On-site

Corgan is actively recruiting a dynamic Design Researcher - Data Strategist to join the firm as part of our Hugo team. Tackle these responsibilities alongside a team of creative, highly motivated ...

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Data Researcher information

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$30K

$113.1K

$164.5K

How much do data researcher jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What do data researchers do?

Data researchers collect, analyze, and interpret large datasets to identify patterns, trends, and insights that support decision-making. They often use statistical tools, programming languages like Python or R, and data visualization software to present their findings clearly. Their work helps organizations improve strategies, products, and services based on data-driven evidence.

What are the typical day-to-day responsibilities of a Data Researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What is a Data Researcher job?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, roles like chief technology officers or highly experienced data scientists with advanced skills and leadership responsibilities may also reach this level. These positions typically require extensive experience, advanced education, and strong industry networks.

What is the work of data researcher?

A data researcher collects, analyzes, and interprets large datasets to identify patterns, trends, and insights that support decision-making. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills and attention to detail. Their work helps organizations improve strategies, products, and services based on data-driven evidence.

What are the key skills and qualifications needed to thrive in the Data Researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

Is 40 too late for data science?

Data research and data science roles are open to candidates of all ages, and many professionals transition into the field later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and data analysis tools, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively.
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Data Researcher jobs near you
Infographic showing various Data Researcher job openings in the United States as of June 2026, with employment types broken down into 2% Full Time, 77% Part Time, 19% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Quantitative Researcher - Systematic Credit

Quantitative Researcher - Systematic Credit

Point72

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 18 days ago

Job description

Role
Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies.
Responsibilities
  • Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models
  • Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and TC models; P&L attribution, etc.
  • Proactively search for and prioritize new ideas and datasets for alpha potential
  • Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers and traders on the team
Requirements
  • PhD or Master's degree in Economics, Finance, Statistics, Mathematics, Physics, or other quantitative discipline
  • 2+ years of experience developing statistical and fundamental alpha signals, risk factors for single name credit, equities, or options. Demonstrated ability to conduct research utilizing large data sets
  • Experience with FICC, credit or option pricing models is preferred
  • Experience with numerical optimization methods is a plus
  • Solid programming skills: understanding of the object-oriented programming and CI/CD framework. Proficiency in Python, including with packages used for data research, best practices of coding style, etc.
  • Strong communication skills
  • Willingness to take ownership of his/her work, working both independently and within a team

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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