Data Researcher Jobs
Data Researcher jobs are open across technology, healthcare, finance, consulting, and consumer goods, from entry-level analyst roles to senior and lead positions, with specializations in competitive intelligence, market research, and qualitative analysis. See the openings below and apply to the ones that match your experience.
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We Are:
We are Accenture Research, a team specialized in delivering impact through thought leadership and client insights. Our AI team sits at the frontier of applied AI, combining rigorous quantitative methods to deliver differentiated insights for Accenture’s clients.
Our work spans industries, geographies, and problem types and we build the tools and methodologies that power it. We partner with world-class institutions including MIT Sloan and Wharton, and we invest in long-horizon research alongside immediate client impact.
You Are:
You are a highly motivated, data-driven AI scientist who combines technical expertise with a passion for business strategy and research. Your economic and strategic perspective enables you to address critical client questions and clearly articulate the business impact of your analyses.
The Work:
In this role, you’ll be reporting into the Research AI Principal Director and will contribute across a portfolio of engagements. The work is highly varied with a focus on Agentic AI, synthetic personas, and thought leadership.
Key Responsibilities:
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translate complex business problems into analytical questions with clearly defined outputs.
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support insight developments for client workshops defining actionable strategic recommendations.
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design, build, and deliver AI methodologies.
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develop and iterate synthetic persona generation pipelines.
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contribute to thought leadership research papers (white papers, industry reports) to shape the conversation on relevant business topics.
Travel may be required for role - 0-80% depending on client and business needs.
Here’s What You Need:
- Minimum of 3 years of hands-on Python development experience building analytical, machine learning, or AI solutions using libraries such as Pandas, NumPy, Scikit-learn, LangChain, or similar frameworks.
- Minimum of 1 year of experience developing and deploying machine learning models, including supervised learning, unsupervised learning, simulation models, forecasting, clustering, classification, or ensemble methods.
- Minimum of 1 year of experience delivering Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), LLM evaluation, orchestration frameworks, and agent-based workflows.
- Bachelor's degree in Business Analytics, Data Science, Economics (or a related field) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Preferred Qualifications:
- Master's degree or PhD in Data Science, Computer Science, Economics, Statistics, Operations Research, Business Analytics, or a related field.
- 1+ year of experience working with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Storage, or AI/ML services.
- 1+ year of experience designing or implementing synthetic data and synthetic persona generation techniques, including tools such as SDV, Gaussian Copula Synthesizer, or similar frameworks.
- Experience building multi-agent systems, autonomous workflows, or agentic AI solutions for research, analytics, or business applications.
- Experience working with vector databases, knowledge retrieval systems, embeddings, and RAG architectures.
- Prior experience contributing to published research, thought leadership, academic studies, industry reports, or collaborations with universities, think tanks, or research institutions.
- Industry expertise in one or more sectors, with a demonstrated ability to develop actionable business insights from data.
- Experience presenting findings and recommendations to executive leadership and client stakeholders.
Professional Skills
- Strong business acumen: ability to contextualize analytical findings within a business context.
- Excellent communication skills — written, verbal, and visual — for presenting to executive and non-technical audiences.
- Strategic problem-solving mindset: comfortable moving from ambiguous business context to a structured analytical approach.
- Enthusiasm for cross-functional, multicultural teamwork with a bias toward building durable, reusable infrastructure.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/18/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range California $70,350 to $196,000 Colorado $63,800 to $169,300 Connecticut $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 Maine $54,400 to $144,300 Maryland $63,800 to $169,300 Massachusetts $63,800 to $180,300 Minnesota $63,800 to $169,300 New York $66,300 to $196,000 New Jersey $68,000 to $196,000 Ohio $59,100 to $156,800 Virginia $59,100 to $180,300 Washington $80,200 to $180,300New York City, NY
Morristown, NJ
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
Data Researcher Jobs by Experience Level
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Find Data Researcher JobsData Researcher Job Market
Who's Hiring
- Johns Hopkins University14

- Google13

- ByteDance8

- Apple7

- Cedars-Sinai Medical Center7

Top Industries Hiring
- Education15
- Healthcare & Medical Services9
- Technology & Software6
- Insurance2
- Government & Public Sector2
What Employers Look For
The qualifications that appear most often in data researcher jobs.
- Bachelor's degree in a quantitative or social science field such as statistics, economics, or psychology
- Proficiency in data analysis tools including Python, R, or SQL
- Experience designing and executing primary research studies such as surveys or interviews
- Ability to synthesize large datasets and communicate findings clearly to non-technical stakeholders
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms
- Experience with secondary research methods and evaluating the credibility of external data sources
Tips for Your Data Researcher Job Search
Tailor your resume to data types
Data researcher roles split sharply between quantitative and qualitative work. Identify whether a posting calls for survey design, SQL queries, or secondary source synthesis, then mirror that language in your resume's skills and project descriptions to pass automated screening.
Show your research methodology explicitly
Hiring managers for data researcher roles want to see how you gather, clean, and interpret data, not just the outputs. Name the frameworks you use, such as cohort analysis or thematic coding, so reviewers understand your process, not only your tools.
Apply early to roles that fit
Migrate Mate lists data researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by domain, not just title
Data researcher openings in healthcare analytics, financial services, and policy research require different domain knowledge even when the title is identical. Search by industry alongside the job title so you're applying to roles where your subject-matter background gives you a real edge.
Prepare a data-cleaning walkthrough for interviews
Many data researcher interviews include a take-home or live exercise involving a messy dataset. Practice narrating your cleaning decisions out loud, including how you handle missing values and outliers, because interviewers care as much about your reasoning as your final output.
Negotiate scope, not just compensation
Data researcher offers often leave room to negotiate dataset access, tool budgets, and project ownership, which shape your day-to-day impact more than title alone. Raise these in the final offer conversation once compensation is settled to lock in the conditions that support strong work.
Data Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most data researchers?
The most active employers for data researchers right now are Johns Hopkins University, Google, and ByteDance, and the most openings are in California, New York, and Massachusetts, based on current listings on Migrate Mate as of November 2026. Demand is especially strong in technology and healthcare organizations that run ongoing consumer or patient research programs.
How many data researcher jobs are remote?
About 78% of data researcher openings are fully remote or hybrid as of November 2026, reflecting the role's natural fit for distributed work. Sub-specializations in secondary research, competitive intelligence, and quantitative analysis tend to be the most remote-friendly, while roles that require in-person participant recruitment or lab-based user studies are more likely to require on-site presence.
How do you become a data researcher?
Start with a foundation in a quantitative or social science discipline, then build hands-on skills in data collection, cleaning, and analysis through coursework, independent projects, or internships. Develop fluency in at least one analytical tool such as Python or R, build a portfolio of end-to-end research projects that show your methodology, and target entry-level research analyst or junior data researcher roles to gain domain experience.
Can you get a data researcher job with little or no experience?
Yes, entry-level data researcher roles exist, but you need to substitute formal experience with demonstrated research work. Build a portfolio using publicly available datasets, document your methodology in detail, and highlight any academic research, capstone projects, or volunteer analysis work. Roles at research agencies, nonprofits, and startups tend to have more flexible experience requirements than large enterprise teams.
What does the data researcher interview process look like?
Most data researcher interview processes include a recruiter screen, a hiring manager conversation focused on your research background and methodology, and a skills assessment such as a take-home data exercise or a live case study. Some employers add a panel stage where you present findings to cross-functional stakeholders. The assessment usually involves cleaning a dataset, drawing conclusions, and explaining your analytical decisions clearly.
Where can I find and apply to data researcher jobs?
You can find and apply to data researcher jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience and specialization, then apply directly to each listing. The platform pulls together openings from a wide range of industries so you can compare opportunities in one place without bouncing between multiple sources.
See All 381+ Data Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Researcher Jobs