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

PepsiCo

Data Science Associate Manager

Manhattan, NY · On-site

PepsiCo is seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. The role involves driving the technical vision, execution, and ...

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 ...

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 ...

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

Data Science Associate information

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$62.9K

$74.4K

$141.1K

How much do data science associate jobs pay per year?

As of Jul 17, 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?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

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 enhance their skills for more advanced roles.

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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 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 July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, 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 • On-site

Full-time

Re-posted 29 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 867 frontline employees who took The Breakroom Quiz

144th of 397 rated food and drinks producers

Job description

Job Summary:
PepsiCo is seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. The role involves driving the technical vision, execution, and adoption of data science initiatives while partnering with business and technology leaders to 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
Qualifications:
Required:
• 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
Company:
PepsiCo is a food and beverage company. Founded in 1898, the company is headquartered in Purchase, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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