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Data Expert Jobs in New York (NOW HIRING)

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Where you've been You're a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer ...

Logistics Data Analyst Newark, NJ $70,000 Overview A growing organization is seeking a highly analytical and detail-oriented Logistics Data Analyst to serve as the data expert for its Logistics ...

Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required. * Ability to communicate results ...

Data Science & Quantitative Analysis Expert Type: Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities * Design complex analysis tasks to simulate real ...

New

Position: Data Science Expert Type: Contract Compensation: $120-$170/hour Location: Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science ...

Expert in Tableau dashboard development. Tableau Desktop /Server /Cloud expertise. Data blending/ complex analytics use cases. Strong understanding of techniques to visualize enterprise data and ...

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Showing results 1-20

Data Expert information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do data expert jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data expert in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Expert vs Data Analyst?

AspectData ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP, Microsoft Data AnalystBachelor's in related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates across departments, often involved in strategic data initiativesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Expert typically has a broader scope, focusing on complex data strategies and cross-departmental projects. A Data Analyst primarily interprets data, creates reports, and supports operational decisions. The roles often overlap, but Data Experts usually possess more advanced skills and responsibilities.

What cities in New York are hiring for Data Expert jobs?

Cities in New York with the most Data Expert job openings:

Infographic showing various Data Expert 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, with an average salary of $180,535 per year, or $86.8 per hour.

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 28 days ago


Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where you’re headed

You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.

Where you’ve been

You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
  • Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle management 
  • Ability to translate business problems into analytical frameworks and measurable success metrics 
  • Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale

 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG) 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows 
  • Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerations 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance