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Data Science Associate Jobs in Valley Stream, NY

JP Morgan Chase

Data Science Sr Associate

Jersey City, NJ · On-site

$64K - $65K/yr

As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the ...

J.P. Morgan

Data Science Sr Associate

Jersey City, NJ · On-site

$61K - $62K/yr

As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the ...

New

KPMG

Data Science Senior Associate

New York, NY

KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice ... Experience with data science, machine learning methods, and LLM-based solutions and products

Vizio

(USA) Senior Manager, Data Science

Manhattan, NY · On-site

$121K - $242K/yr

The position involves collaborating with cross-functional teams to align data solutions with business objectives, mentoring associates, and ensuring the continuous improvement of data science ...

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All JobsData Science Associate JobsData Science Associate Jobs in Valley Stream, NY

Data Science Associate information

See Valley Stream, NY salary details

$60.2K

$71.2K

$135K

How much do data science associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science associate in Valley Stream, NY is $71,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $62,200.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

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

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

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

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

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

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

Data Science Associate jobs near you
Infographic showing various Data Science Associate 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, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $71,178 per year, or $34.2 per hour.

Data Science Sr Associate

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$123K - $170K/yr

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


Are you passionate about leveraging Descriptive, Predictive, and Prescriptive analytics to drive impactful marketing strategies? If so, this role is perfect for you!
As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the future of our marketing initiatives. You will work closely with Marketing Strategy Managers, Brand Managers, Dealer Relationship Managers, and various consumer lines of business, finance, compliance, and controls.
Key Responsibilities:
  • Partner with Chase Auto Marketing and Lines of Business (LOBs) to deliver data-driven insights that support strategic growth and direction.
  • Develop and refine measurement frameworks and KPIs to enhance marketing effectiveness.
  • Conduct proactive, self-driven analysis of large and complex datasets to formulate hypotheses, extract insights, and communicate findings through compelling data visualizations to diverse stakeholders.
  • Prioritize and focus the analytics agenda to align with overall business strategy and maximize value.
  • Collaborate with the broader Chase Marketing Analytics teams to improve the quality, value, and standardization of deliverables.
  • Work alongside Marketing and Core Analytics partners to boost the overall performance of the Marketing team.

Required Qualifications, capabilities and skills:
  • Masters in a related field, or at least 3 years of relevant industry experience in data science roles, with a focus on marketing analytics.
  • Proficiency in Tableau, Alteryx, SQL, and Python.
  • Expertise in data wrangling, including integrating multiple data sources into cohesive data assets and aggregating large datasets for specific purposes.
  • Proven ability to define business KPIs and establish effective measurement frameworks.
  • Strong analytical mindset with a passion for exploring results and uncovering deeper insights.
  • Excellent communication skills, capable of engaging with executives, business partners, and technical teams in analytics and data management.
  • Exceptional data storytelling abilities to convey analytical insights to stakeholders.
  • Eagerness to thrive in a fast-paced, start-up-like environment and culture

Preferred Qualification, capabilities and skills:
  • Previous experience in analytics supporting a marketing function
  • Familiarity with AWS Cloud Services

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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