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Associate Data Scientist Jobs in Rutherford, NJ (NOW HIRING)

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy. They act as a day-to-day contributor on specific client teams and focus on the generation of ...

Associate Director, Data Science

New York, NY · Hybrid

$64K - $65K/yr

Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media ...

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media ...

Showing results 41-60

Associate Data Scientist information

See Rutherford, NJ salary details

$58.6K

$69.4K

$131.5K

How much do associate data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate data scientist in Rutherford, NJ is $69,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $60,700.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Rutherford, NJ?

The most popular types of Data Scientist jobs in Rutherford, NJ are:

What job categories do people searching Associate Data Scientist jobs in Rutherford, NJ look for?

The top searched job categories for Associate Data Scientist jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Associate Data Scientist jobs?

Cities near Rutherford, NJ with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Rutherford, NJ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 2% Contract, and 2% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,361 per year, or $33.3 per hour.

Audit Chief Data Office - Data Scientist - Senior Associate

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$120 - $180/hr

Other

Posted 17 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

77th of 174 rated banks


Job description

Join our Audit Data Strategy Teamas a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects.

As a Data Science Associate in the Audit Data Strategy Teamyou will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm. You’ll also design and implement advanced AI/ML solutions to enhance control testing and support strategic initiatives and deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.

Job Responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
  • Drive data science and analytics strategies, including recommendations on analytical products and standards.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of problem domains and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Communicate findings and obstacles to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills.
  • Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills:
  • Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Intellectual curiosity for solving business problems.
  • Leadership and collaboration skills.
  • Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
  • Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
  • Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills:
  • Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
  • Understanding of key drivers of Risk & Control Frameworks
  • M.S. degree or equivalent.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

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