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Data Science Jobs in Rutherford, NJ (NOW HIRING)

American Express

Mgr-Data Science

New York, NY

This role sits within Finance Data Science and Analytics, a team focused on developing innovative solutions that bring greater stability, predictability, and insight to the AXP P&L through data ...

New

Tatari

Data Science Analyst

New York, NY

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Inmar

Director, Data Science (MarTech)

New York, NY

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

Meta

Data Science Director (IC)

New York, NY

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

New

American Express

Directors, Data Science

New York, NY · On-site

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. At American Express, our culture is built on a 175-year history of ...

New

American Express

Directors, Data Science

Manhattan, NY · On-site

$169K - $215K/yr

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. Responsibilities Lead the provision of credit-related analytical support ...

New

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Cigna

Data Science Director - Remote

New York, NY · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Meta

Data Science Director

New York, NY

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

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 ...

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All JobsData Science JobsData Science Jobs in Rutherford, NJ

Data Science information

See Rutherford, NJ salary details

$38.2K

$125.1K

$200.3K

How much do data science jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data science in Rutherford, NJ is $125,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,600.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Rutherford, NJ? The most popular types of Data Science jobs in Rutherford, NJ are:
What are popular job titles related to Data Science jobs in Rutherford, NJ? For Data Science jobs in Rutherford, NJ, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Rutherford, NJ look for? The top searched job categories for Data Science jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Data Science jobs? Cities near Rutherford, NJ with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rutherford, NJ as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,124 per year, or $60.2 per hour.
Mgr-Data Science

Mgr-Data Science

American Express

New York, NY

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

24th of 148 rated financial services

Job description

The Finance Organization drives business value by being a strategic partner in every decision made in support of the Company's success. We bring a powerful combination of financial expertise, a deep understanding of complex analytics, a thorough knowledge of the risk environment, and a commitment to upholding the highest standards of financial integrity. 

This role sits within Finance Data Science and Analytics, a team focused on developing innovative solutions that bring greater stability, predictability, and insight to the AXP P&L through data science, machine learning, and advanced analytics.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Minimum Qualifications:

  • Minimum of 3+ years of experience in data science or machine learning, with a focus on developing and deploying machine learning models.
  • MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Chemistry, Operations Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
  • Expertise in an analytical language (Python preferred), and experience with databases (Google BigQuery or equivalent) is required.
  • Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
  • Ability to work effectively in a team environment.
  • Independent thinker who is organized, has great attention to detail, and can effectively handle complexity.
  • Strong communication skills; ability to integrate with cross-functional business partners.
  • Ability to learn quickly and work independently with sophisticated, unstructured initiatives.
     

Preferred Qualifications:

  • Experience with data visualization is a plus.
  • Solid understanding of card and lending economics
  • Proficiency in dealing with large quantities of complex data and ability to derive actionable insights
  • Demonstrated ability to communicate technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications
  • Ability to research and apply new/unfamiliar data science methods
  • Experience with Generative AI (APIs, MCP, agents)
  • Experience using Git and GitHub

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions

  • Lead the design, planning, and execution of machine learning projects, ensuring alignment with the company's strategic goals and objectives.
  • Innovate with a focus on developing newer and better revenue models using big data and machine learning solutions.
  • Design, develop, and deploy machine learning models to predict spending and lending patterns, delivering value to finance colleagues and business partners.
  • Leverage causal inference framework to determine drivers and their contribution in revenue growth
  • Utilize advanced data analysis and visualization techniques to explain model outputs and extract insights that support decision-making processes.
  • Collaborate with key stakeholders, including senior management, partners, and the model validation group, to drive the success of machine learning projects.
  • Ensure that all regulatory needs are met by way of close collaboration with 2nd Line (MRMG) and 3rd Line (IAG) requirements, in addition to continued compliance with AEMP55

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