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Data Assistant Jobs in Valley Stream, NY (NOW HIRING)

campus4tech

Data Scientist

Manhattan, NY · On-site

Leverage GenAI/Data Assist tools to accelerate data science workflows. * Collaborate with stakeholders to align models with business outcomes. * Build and refine machine learning models under ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Leverage GenAI/Data Assist tools to accelerate data science workflows. * Collaborate with stakeholders to align models with business outcomes. * Build and refine machine learning models under ...

JCCGCI

Data Entry Clerk

Brooklyn, NY · On-site

$23 - $25/hr

Maintain partner organization program master lists to help ensure 100% compliance for group trip data. * Assist with preparation and mailing of applications or welcome letters as well as other ...

New York Life

Investment Data Analyst

Jersey City, NJ · Hybrid

Support the reporting needs of internal clients, including sales, marketing, risk oversight and investment teams, by delivering relevant and reliable data * Assist in the daily reporting process ...

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

What You'll Work On Data Pipelines & Data Management * Assist in building and maintaining ETL/ELT data pipelines to collect, transform, and load data from internal and external sources * Help clean ...

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Data Assistant information

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What are the most commonly searched types of Data jobs in Valley Stream, NY?

The most popular types of Data jobs in Valley Stream, NY are:

What are popular job titles related to Data Assistant jobs in Valley Stream, NY?

For Data Assistant jobs in Valley Stream, NY, the most frequently searched job titles are:

What job categories do people searching Data Assistant jobs in Valley Stream, NY look for?

The top searched job categories for Data Assistant jobs in Valley Stream, NY are:

What cities near Valley Stream, NY are hiring for Data Assistant jobs?

Cities near Valley Stream, NY with the most Data Assistant job openings:

Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Valley Stream, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

campus4tech

Manhattan, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Job Title- Data Scientist
Location- New York, NY 10112
Reporting Type- Onsite
W2 candidates only preferred
Green Card Holders and US Citizens only preferred
Summary
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus.
Responsibilities
  • Lead end-to-end data science projects using agile and iterative approaches.
  • Develop and deploy AI/ML models, including propensity modeling.
  • Drive data engineering requirements to support model development and optimization.
  • Leverage GenAI/Data Assist tools to accelerate data science workflows.
  • Collaborate with stakeholders to align models with business outcomes.
  • Build and refine machine learning models under guidance.
  • Perform data analysis, feature engineering, and model validation.
  • Support deployment and testing of AI/ML solutions.

Requirements
  • Data Science Lead (SC or M level) - should have experience leading data science projects with rapid iterations in an agile manner.
  • Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
  • Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in the HR domain would be ideal!
    Data Science Support (SC or C level) - Should have AI/ML experience and be able to take direction and develop model as part of a team

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