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Entry Level Behavioral Data Scientist Jobs in Boca Raton, FL

Danaher

Digital Analyst Internships

Boca Raton, FL · On-site

$93K - $110K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Lake Worth, FL · On-site

$88K - $104K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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Entry Level Behavioral Data Scientist information

See Boca Raton, FL salary details

$43.7K

$156.6K

$231.1K

How much do entry level behavioral data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level behavioral data scientist in Boca Raton, FL is $156,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,700.00 and $161,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Behavioral Data Scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What types of projects do entry level behavioral data scientists typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

What is an Entry Level Behavioral Data Scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
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What cities near Boca Raton, FL are hiring for Entry Level Behavioral Data Scientist jobs? Cities near Boca Raton, FL with the most Entry Level Behavioral Data Scientist job openings:
Entry Level Behavioral Data Scientist jobs near you
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL

Full-time

Re-posted 14 hours ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor's degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

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