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Datasets Jobs (NOW HIRING)

Analyze datasets to generate descriptive statistics and propose potential applications of data. * Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data * Coordinate with ...

Analyze datasets to generate descriptive statistics and propose potential applications of data. * Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.

Develop SEND datasets conforming to CDISC standards (non-clinical data); Develop SDTM datasets conforming to CDISC standards; Develop Analysis Data Model datasets conforming to CDISC standards as ...

Develop, maintain, and optimize dashboards and reports in Power Bi and Spotfire to support operational and performance insights Import, cleanse, validate, and transform datasets from multiple sources ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115.01K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

Experience in data mining, database manipulation, and maintaining structured analytic datasets. * Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.

AWS Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

The role involves working closely with business stakeholders, analysts, and engineering teams to enable data driven decision making using large scale datasets and AWS cloud technologies. This role is ...

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Datasets information

See salary details

$70.5K

$142.8K

$254K

How much do datasets jobs pay per year?

As of May 30, 2026, the average yearly pay for datasets in the United States is $142,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $175,000.00 per year, depending on experience, location, and employer.

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What cities are hiring for Datasets jobs? Cities with the most Datasets job openings:
What states have the most Datasets jobs? States with the most job openings for Datasets jobs include:
Infographic showing various Datasets job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 2% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $142,829 per year, or $68.7 per hour.
NLP Engineer

NLP Engineer

Point72

New York, NY • On-site

Other

Posted 12 days ago


Job description

DESCRIPTION

We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact.

RESPONSIBILITIES

  • Build start-of-the-art deep learning models to process large scale unstructured datasets.
  • Engage with vendors to understand characteristics of datasets.
  • Analyze datasets to generate descriptive statistics and propose potential applications of data.
  • Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
  • Research new technologies for efficient data management and data retrieval.

REQUIREMENTS

  • PhD or Master's degree in computer science, data science, statistics or other quantitative discipline. Bachelor's degree with extensive relevant work experience will also be considered.
  • At least 3 years of experience in NLP, computer vision, speech, or a related field.
  • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training.
  • Excellent coding skills in Python.
  • Programming skills in SQL.
  • Experience working with large data sets.
  • Strong oral and written communication skills.
  • Strong team player.
  • Financial industry experience preferred but not required.
  • Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred.
  • Commitment to the highest ethical standards.