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Entry Level Behavioral Data Scientist Jobs in Florida

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

Job Overview The Program Data Science Analyst will play a critical role in supporting program and ... Responsible for exhibiting professional behavior with both internal and external business ...

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Entry Level Behavioral Data Scientist information

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 does an entry level behavioral data scientist 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.

Is entry level behavioral data scientist in high demand?

Entry level behavioral data scientists are in growing demand as organizations seek to understand user behavior and improve decision-making through data analysis and machine learning tools. Skills in statistical analysis, programming, and data visualization are highly valued, and job opportunities are expanding across various industries such as tech, healthcare, and finance.

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.
What are the most commonly searched types of Behavioral Data Scientist jobs in Florida? The most popular types of Behavioral Data Scientist jobs in Florida are:
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Entry Level Behavioral Data Scientist jobs near you

Data Scientist - Analytics Lead - Onsite

DSN

Boca Raton, FL • On-site

Full-time

Re-posted 1 hour ago

Job description

Data Scientist / Analytics Lead - Gaming Focus
Onsite | South Palm Beach County
We are seeking a highly agile Data Scientist / Analytics Lead to turn game and player data into decisions that directly improve game performance and business outcomes.
This is an analytics-led role, not an ML engineering, MLOps, or model-deployment position.
The right person will combine strong statistical and technical skills with sharp business judgment. They will own KPIs, analyze player behavior, evaluate experiments, identify patterns quickly, and work directly with Game Design, Product, and Leadership to influence what happens next.
What You'll Own
  • Define, track, and continuously improve game and business KPIs
  • Build and evolve dashboards used daily by Game Design and Leadership
  • Analyze player behavior, game performance, retention, engagement, and monetization trends
  • Design and interpret A/B tests and other experiments
  • Identify anomalies, risks, and opportunities quickly
  • Translate complex data into clear recommendations and business decisions
  • Partner closely with Game Designers, Product, and Management in a rapid-iteration environment
  • Support the underlying data structure needed for reliable reporting and analysis

What We're Looking For
  • Strong analytical instincts and independent problem-solving ability
  • Demonstrated experience using data to influence product or business decisions
  • Experience owning KPIs, not simply reporting them
  • Comfort working with incomplete, evolving, or imperfect data
  • Strong SQL skills
  • Proficiency with Tableau or Power BI, Excel, and Python or R
  • Experience with A/B testing, experimentation, and performance measurement
  • Experience with data modeling, analytics architecture, or modern data environments
  • Bachelor's degree in Statistics, Applied Mathematics, Data Science, or a related field

Nice to Have
  • Experience analyzing gaming, casino, online-player, consumer-product, or other behavioral data
  • Familiarity with slot-game metrics or game-performance analytics
  • Snowflake or similar modern cloud data-platform experience
  • Predictive modeling or applied machine-learning experience
  • Exposure to LLM technologies used to enhance analytics or decision-making
  • Master's degree for senior-level candidates

What Success Looks Like
This role is ideal for someone who can look at data, recognize what matters, and explain what the business should do next.
We are not looking for someone whose primary experience is building models, deploying AI systems, or managing MLOps pipelines.
We are looking for someone who can answer questions such as:
  • What are players doing?
  • Why is performance changing?
  • Which experiment worked?
  • Where is the opportunity?
  • What should Game Design or Leadership do next?

Apply