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Data Science Assistant Jobs in New York (NOW HIRING)

Barclays

Compliance Data Scientist

New York, NY · On-site

Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations * To advise and influence decision making ...

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 ...

Equation Staffing

VP of Data Science

Manhattan, NY

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven ... assist with data-related technical issues and support their data infrastructure needs. · Manage ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

Responsibilities: * Assist with investment sourcing by: (1) building data pipelines and machine ... Have a real impact on the world by applying data science to VC and tech startups (many of which ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in New York? The most popular types of Data Science jobs in New York are:
What are popular job titles related to Data Science Assistant jobs in New York? For Data Science Assistant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in New York look for? The top searched job categories for Data Science Assistant jobs in New York are:
What cities in New York are hiring for Data Science Assistant jobs? Cities in New York with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Compliance Data Scientist

Compliance Data Scientist

Barclays

New York, NY • On-site

Full-time

Posted 28 days ago

Job description

Job Description
Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities
  • Identification, collection, extraction of data from various sources, including internal and external sources.
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
What will you be doing?
Barclays Services Corp. seeks Compliance Data Scientist in New York, NY (multiple positions available):
  • Utilize mathematics and statistics to perform data analysis to support the identification, measurement, and prevention of Conduct Risk.
  • Provide solutions for Financial Crime Anti-Money Laundering (AML) ranging from Transaction Monitoring system optimization through non-linear optimization to the development of bespoke reports and dashboards to identify outlier customer and client behavior.
  • Generate complex insights and actionable Management Information (MI) using Barclays automated dashboard development tools. Enhance the effectiveness and efficiency of the Company's AML group.
  • Partner with Barclays Technology teams to enhance the quality and structure of data used for subsequent Conduct Risk analytics.
  • Develop innovative ways to gain additional insight from existing data by using graph databases and similar Network Link Analytics approaches.
  • Engage with stakeholders to identify their key problems and needs, keeping up-to-date with external industry development through research and peer-group meetings and conferences.
  • Use Data Visualization tools to produce performance-monitoring metrics for Transaction Monitoring processes.
  • Use data analytics to inform root cause analysis, diagnostics, and to conduct simulations.
  • Produce performance metrics for Market Surveillance processes designed to identify Market Abuse risk.
  • Use data analytics to spot trends and patterns in data that could indicate broader Conduct Risk, including Conduct Risks relating to Financial Crime and/or Market Abuse.

Salary / Rate Minimum/yr: $140,000 per year
Salary / Rate Maximum/yr: $155,000 per year
The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.
This position is eligible for incentives pursuant to Barclays Employee Referral Program.

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