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Entry Level Behavioral Data Science Jobs in Newark, NJ

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... behavior --including insider trading, market manipulation, off‑channel communications, MNPI ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

American Express

Manager, Data Science

New York, NY · On-site

... Leadership Behaviors, and an unwavering commitment to back our customers, communities, and ... Experience in large data processing and handling is a plus-familiarity with big data platforms and ...

Smarsh

Lead Data Scientist

New York, NY

... financial domain behavior -including insider trading, market manipulation, off-channel ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

... financial domain behavior -including insider trading, market manipulation, off-channel ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

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How much do entry level behavioral data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level behavioral data science in Newark, NJ is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $22.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Newark, NJ?

For Entry Level Behavioral Data Science jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Entry Level Behavioral Data Science jobs in Newark, NJ look for?

The top searched job categories for Entry Level Behavioral Data Science jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Entry Level Behavioral Data Science jobs?

Cities near Newark, NJ with the most Entry Level Behavioral Data Science job openings:

Entry Level Behavioral Data Science jobs near you

Research Scientist, Quantitative Growth Research

Meta

New York, NY

$147K/yr

Full-time

Posted 4 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking a Research Scientist to join the Quantitative Growth Research team, where you will apply rigorous quantitative methods to understand user behavior, product adoption, and growth dynamics across Meta's family of apps and services. In this role, you will design and execute large-scale studies, develop causal inference frameworks, and translate complex behavioral data into actionable insights that shape product strategy and drive sustainable growth. You will partner closely with product, engineering, and data science teams to define research agendas that directly influence how billions of people discover and engage with Meta's products.
Research Scientist, Quantitative Growth Research Responsibilities:
  • Design and execute quantitative research studies — including surveys, behavioral data analyses, and observational studies — to understand user acquisition, retention, and engagement patterns across Meta's products
  • Develop and apply causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity) to evaluate the impact of product changes on growth outcomes
  • Build and validate measurement frameworks that connect user behavior signals to long-term growth and retention metrics
  • Collaborate with product managers, engineers, and data scientists to translate research findings into product strategy and roadmap decisions
  • Identify gaps in existing measurement approaches and design novel methodologies to address them, adapting established frameworks to new growth research challenges
  • Communicate complex quantitative findings to technical and non-technical stakeholders through written reports, presentations, and data visualizations
  • Contribute to team-level research goals by identifying high-priority growth questions and scoping research projects with clear short, mid, and long-term deliverables
  • Leverage AI-integrated workflows and analytical tools to accelerate research design, data processing, and insight generation
  • Advise cross-functional partners on appropriate research methods, statistical interpretation, and the limitations of quantitative findings in the context of growth decisions

Minimum Qualifications:
  • PhD in a quantitative field such as economics, statistics, psychology, computational social science, or a related discipline
  • Experience conducting quantitative research using methods such as experimentation, causal inference, survey research, or large-scale behavioral data analysis
  • Experience applying statistical modeling techniques (e.g., regression, survival analysis, Bayesian methods, causal inference) to real-world product or growth research questions
  • Experience translating quantitative research findings into product or business recommendations for cross-functional stakeholders
  • Experience working with large-scale datasets using programming languages such as Python, R, or SQL
  • Experience scoping and delivering independent research projects from problem definition through insight communication

Preferred Qualifications:
  • Familiarity with survey methodology, including questionnaire design, sampling strategies, and measurement validity in the context of user research
  • Experience designing and analyzing large-scale experiments (A/B tests or quasi-experiments) in a consumer technology or growth context
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Track record of publishing or presenting quantitative research findings in peer-reviewed venues or applied research settings

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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