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Data Science Research Jobs in New York (NOW HIRING)

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 ...

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 ...

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 ...

AI Data Scientist Lead

Manhattan, NY ยท On-site

$140 - $190/hr

You'll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization. As AI Data Scientist ...

Data Scientist / Researcher

Manhattan, NY ยท On-site +1

$160K - $470K/yr

... to data science and related fields. * Assisting with portfolio company value-add by: (1) ... Assisting with thought leadership by authoring high-quality data-driven research content that ...

Use inferential statistics and social science research methods to conduct internal studies for business leaders, enabling them to make data-informed decisions about their people. * Run analyses with ...

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Data Science Research information

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.

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 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 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.

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, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.

What are the most commonly searched types of Data Science Research jobs in New York?

The most popular types of Data Science Research jobs in New York are:

What job categories do people searching Data Science Research jobs in New York look for?

The top searched job categories for Data Science Research jobs in New York are:

What cities in New York are hiring for Data Science Research jobs?

Cities in New York with the most Data Science Research job openings:

Infographic showing various Data Science Research job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science Research Manager - Accenture Research

Socket.dev

Manhattan, NY โ€ข On-site

$87 - $266/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

We Are:

We are Accenture Research, a team specialized in delivering impact through thought leadership and client insights. Our AI & Data Science team sits at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accentureโ€™s clients and internal stakeholders.

We operate like a research lab with the accountability of a consulting team. Our work spans industries, geographies, and problem types โ€” and we build the tools and methodologies that power it. We partner with worldโ€‘class institutions including MIT Sloan and The Wharton School, and we invest in longโ€‘horizon research alongside immediate client impact.

If you want to do the most technically ambitious, strategically relevant work of your career โ€” in an environment that values rigor, craft, and intellectual honesty โ€” this is the team.

This role sits within Accenture Researchโ€™s AI teamโ€” a team built to develop nextโ€‘generation research capabilities. We operate at the frontier of applied AI, combining rigorous quantitative methods with the latest in generative AI, agentic systems, and synthetic data generation to deliver differentiated intelligence for Accentureโ€™s clients and internal stakeholders.

You Are:

We are looking for a manager-level data scientist who brings a rare combination of very strong business acumen and technical fluency. You will support highโ€‘impact client engagements across industries by designing and deploying machine learning models, GenAI pipelines, and agentic AI workflows. You will be a core contributor to the teamโ€™s portfolio of reusable, scalable analytical assets โ€” including synthetic persona systems and intelligent agent frameworks โ€” built on a GCPโ€‘first technology stack.

The Work:

In this role, youโ€™ll be reporting into the Research Principal Director, AI and Data Science, and will work as a senior individual contributor and team lead across a portfolio of client and internal research engagements. The work is highly varied โ€” spanning modelโ€‘building, client workshops, and thought leadership โ€” and is always tied to real decisions and real audiences.

Key Responsibilities
  • Translate complex business problems into wellโ€‘scoped, researchable analytical questions with clearly defined outputs and success metrics

  • Collaborate with research leads, economists, and clientโ€‘facing teams to embed AIโ€‘native tools into project delivery

  • Design, build, and deliver ML and GenAIโ€‘powered analytical methodologies to support client engagements across multiple industries

  • Develop and iterate synthetic persona generation pipelines, including largeโ€‘scale digital executive personas and behavioral simulation models

  • Implement agentic AI workflows using frameworks such as Google ADK, A2A, and MCP protocols on GCP

  • Design and maintain realโ€‘time intelligence dashboards and AIโ€‘asโ€‘aโ€‘service analytical assets

  • Coach and mentor junior data scientists, fostering a culture of technical rigor and business relevance

What's In It For You?
  • Youโ€™ll have access to 100+ proprietary business data sources through Accenture Researchโ€™s global data lake โ€” the kind of depth you wonโ€™t find anywhere else.

  • Youโ€™ll get a mandate to build at the frontier: agentic pipelines, synthetic intelligence systems, and AIโ€‘native research assets that are genuinely new.

  • Youโ€™ll collaborate with worldโ€‘class academic institutions including MIT Sloan and The Wharton School, with the opportunity to publish and present externally.

  • Youโ€™ll have dedicated time to develop novel methodologies beyond immediate project constraints โ€” because we believe great research needs room to breathe.

  • Youโ€™ll gain leadership exposure across Accentureโ€™s global industry and capability networks, working with senior stakeholders across sectors.

  • Youโ€™ll join a team that values auditability, rigor, and craft in every analytical deliverable โ€” and that holds itself to that standard.

The work location for this role will include a mix of working remotely and working onsite. With all our roles, there is some inโ€‘person time for collaboration, learning and building relationships with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

Here's What You Need:
  • Minimum of 5 years delivering analytical outputs in clientโ€‘facing or commercial settings, with demonstrated ability to translate technical findings for executive audiences.

  • Minimum of 5 years applying machine learning methods, including simulations, supervised/unsupervised models, NLP, and time series.

  • Minimum of 2 years of experience with generative AI โ€” including LLM prompting strategies, retrievalโ€‘augmented generation (RAG), and multiโ€‘modal models.

  • Minimum of 2 years of handsโ€‘on experience designing and building agentic AI architectures, including toolโ€‘use patterns, planning loops, and multiโ€‘agent orchestration.

  • Bachelorโ€™s degree in Data Analytics, Data Science, Strategy, Economics, or a related field with minimum 5 years of work experience.

  • Masterโ€™s degree with minimum 5 years of work experience. PhD is a plus.

Technical Skills
  • Python (advanced): modeling, data wrangling, pipeline development, and API integration.

  • Machine learning: supervised and unsupervised methods, ensemble models, time series, NLP, and text analytics.

  • Generative AI: LLM prompting, fineโ€‘tuning, retrievalโ€‘augmented generation (RAG), and multiโ€‘modal models.

  • Agentic AI: experience building agent architectures including tool use, planning loops, and multiโ€‘agent orchestration.

  • Synthetic data generation: methods such as SDV, Gaussian Copula Synthesizer, IPF calibration, or equivalent.

  • Google Cloud Platform (GCP) โ€” critical requirement: Cloud Run, BigQuery, Vertex AI, Secret Manager, and GCP deployment architecture.

Soft Skills & Mindset
  • Strong business acumen: ability to contextualize analytical findings within industry dynamics and Cโ€‘suite decisionโ€‘making.

  • Excellent communication skills โ€” written, verbal, and visual โ€” for presenting to executive and nonโ€‘technical audiences.

  • Strategic problemโ€‘solving mindset: comfortable moving from ambiguous business context to a structured analytical approach.

  • Strong project and stakeholder management capabilities in fastโ€‘paced, global environments.

  • Enthusiasm for crossโ€‘functional, multicultural teamwork with a bias toward building durable, reusable infrastructure.

Bonus Points if You Have:
  • Experience designing and facilitating client workshops, coโ€‘creation sessions, or executive briefings in a consulting or advisory context.

  • Published thought leadership โ€” white papers, industry reports, or HBRโ€‘style research โ€” with demonstrated ability to synthesize complex AI topics for nonโ€‘technical audiences.

  • Deep vertical expertise in at least one industry (e.g., financial services, consumer goods, healthcare, energy) with a track record of designing industryโ€‘specific AI solutions.

  • Experience with synthetic data generation methods (SDV, Gaussian Copula Synthesizer, IPF calibration, or equivalent) in research or commercial settings.

  • Background in academic or institutional research collaborations, such as with business schools or think tanks.

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 09/18/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and longโ€‘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 $94,400 to $266,300

Cleveland $87,400 to $213,000

Colorado $94,400 to $230,000

District of Columbia $100,500 to $245,000

Illinois $87,400 to $230,000

Maine $80,400 to $196,000

Maryland $94,400 to $230,000

Massachusetts $94,400 to $245,000

Minnesota $94,400 to $230,000

New York $87,400 to $266,300

New Jersey $100,500 to $266,300

Virginia $87,400 to $245,000

Washington $100,500 to $245,000

About Accenture

Accenture is a leading global professional services company that helps the worldโ€™s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicesโ€”creating tangible value at speed and scale. We are a talent- and innovationโ€‘led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worldโ€™s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry

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