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Data Science Associate Jobs in Hoboken, NJ (NOW HIRING)

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

PepsiCo

Data Science Associate Manager

Manhattan, NY · On-site

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

Inmar

Director, Data Science (MarTech)

New York, NY

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... As an Inmar Associate, you: * Put clients first and consistently display a positive attitude and ...

The Farmer's Dog

Food Science Associate

Omaha, NE

$13.50 - $17.50/hr

The Associate Food Scientist will be an organized, proactive contributor who helps the team execute ... We don't think of ourselves as "Acquisition Marketers", "Engineers", "Data Analysts", or "Product ...

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All JobsData Science Associate JobsData Science Associate Jobs in Hoboken, NJ

Data Science Associate information

See Hoboken, NJ salary details

$62.9K

$74.4K

$141.1K

How much do data science associate jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science associate in Hoboken, NJ is $74,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $65,100.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

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, and why are they important?

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.

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 is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Hoboken, NJ? The most popular types of Data Science jobs in Hoboken, NJ are:
What job categories do people searching Data Science Associate jobs in Hoboken, NJ look for? The top searched job categories for Data Science Associate jobs in Hoboken, NJ are:
What cities near Hoboken, NJ are hiring for Data Science Associate jobs? Cities near Hoboken, NJ with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Hoboken, NJ as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,440 per year, or $35.8 per hour.
Data Science Associate Manager

Data Science Associate Manager

PepsiCo

Manhattan, NY

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 842 frontline employees who took The Breakroom Quiz

127th of 383 rated food and drinks producers

Job description

Overview

We’re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda. You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.


Responsibilities
  • Lead, mentor, and grow a team of data scientists, providing technical guidance and career development
  • Own the end-to-end delivery of large-scale analytics and machine learning initiatives
  • Define standards and best practices for model development, data pipelines, and ML production workflows
  • Oversee the design, deployment, monitoring, and optimization of machine learning systems in production
  • Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes
  • Drive adoption of modern techniques, including Generative AI, where they deliver clear business value
  • Communicate technical concepts, progress, and impact effectively to business and technical audiences

Compensation and Benefits:

  • The expected compensation range for this position is between $120,300 - $205,150.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
  • Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
  • 5+ years of experience in data science, with leadership or people-management responsibility
  • Proven experience delivering machine learning solutions using diverse data sources
  • Strong Python skills and ability to guide production-quality ML code
  • Solid understanding of software engineering, data engineering, and MLOps best practices
  • Experience with deep learning frameworks (TensorFlow or PyTorch)
  • Strong foundation in statistical and mathematical modeling
  • Experience with cloud-based and distributed computing platforms
  • Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement

Qualifications:
  • Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
  • 5+ years of experience in data science, with leadership or people-management responsibility
  • Proven experience delivering machine learning solutions using diverse data sources
  • Strong Python skills and ability to guide production-quality ML code
  • Solid understanding of software engineering, data engineering, and MLOps best practices
  • Experience with deep learning frameworks (TensorFlow or PyTorch)
  • Strong foundation in statistical and mathematical modeling
  • Experience with cloud-based and distributed computing platforms
  • Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures
Education:UNAVAILABLEEmployment Type: FULL_TIME

What PepsiCo employees say

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Hours and flexibility

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

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