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Entry Level Behavioral Data Science Jobs in Williamstown, NJ

Elsevier

Data Scientist II

Philadelphia, PA · On-site

... behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements * Experience in data science, machine learning, artificial intelligence, NLP ...

New

Ivy Rehab Network

Associate Data Scientist

Philadelphia, PA · On-site +1

$59K - $60K/yr

... applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth ... Degree in data science, finance, business, economics, statistics, mathematics, or a related field.

The Stepping Stones

Behavior Technician

Philadelphia, PA · On-site

$17.50 - $22.75/hr

... science of Applied Behavior Analysis. Make a difference in a child's school day - every single day ... Collect accurate behavioral data as instructed by the supervising BCBA * Support skill development ...

New

Perpay - Career's Page

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

... behavior. * Perpay+: Leverages Marketplace repayment history to help members monitor and build ... Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the ...

Camden's Charter School Network

Science Teacher

Camden, NJ · On-site

$48K - $62K/yr

... of student behavior needed to achieve a functional learning atmosphere in the classroom ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

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Entry Level Behavioral Data Science information

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$10

$19

$28

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

As of Aug 24, 2026, the average hourly pay for entry level behavioral data science in Williamstown, NJ is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.63 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 Williamstown, NJ?

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

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

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

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

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

Entry Level Behavioral Data Science jobs near you

Data Scientist II

Elsevier

Philadelphia, PA • On-site

Full-time

Posted 3 days ago

New

Elsevier rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

32nd of 496 rated business services

Job description

What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges? At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society.
Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Data Scientist II, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
This is AI with purpose. This is technology in service of scientific progress.
About the Role
In this role, you will design and build machine learning, NLP, and generative AI solutions that support clinical knowledge discovery, evidence extraction, decision support, and intelligent content understanding. You will work with large-scale clinical and scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous clinical and scientific challenges into measurable outcomes that improve how clinicians and researchers discover and apply knowledge.
About the team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline
Responsibilities
  • Design and build machine learning, NLP, and generative AI systems for clinical knowledge discovery, evidence extraction, decision support, and intelligent content understanding.
  • Work with large-scale, complex, and heterogeneous data, including clinical documentation, scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content spanning every clinical and scientific discipline.
  • Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.
  • Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation for clinical and scientific use cases.
  • Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and clinical/user value.
  • Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement.
  • Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems that clinicians and researchers depend on.
  • Collaborate with engineering, product, UX, analytics, research, clinical, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences.

Requirements
  • Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.
  • Experience working with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine-tuning LLMs and/or SLMs.
  • Strong Python skills and a habit of writing clean, maintainable, well-tested code.
  • A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement.
  • Experience working with structured, semi-structured, or unstructured data, especially large-scale text or clinical/scientific content datasets.
  • Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
  • The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality.
  • Clear communication skills, a collaborative approach to working with engineering, product, clinical, and business stakeholders, and a genuine interest in building production-ready systems that improve health outcomes.

Why This Work Matters
Your models won't just process data, they'll help shape how clinicians document care, how students learn to practice medicine, and how researchers uncover insights that improve patient outcomes. This is AI applied where it counts.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, parental leave, and study assistance, we will help you meet your immediate responsibilities and your long-term goals.
U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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