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Sr Data Scientist Jobs in Boca Raton, FL (NOW HIRING)

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical contributor within the R&D group, leading the design, development, validation, and implementation ...

Chewy

Senior Data Scientist

Plantation, FL

$109K - $190K/yr

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II to join our growing team. In this role, you will help build AI-powered and machine learning ...

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

QDStaff

Senior Data Scientist Gaming

Boca Raton, FL · On-site

QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida.

TransUnion

Senior Data Analyst

Boca Raton, FL

$90K - $150K/yr

... a Senior Manager of Data Science & Analytics. As part of the Data Analytics Team, you will help ... Experience leading data science initiatives Benefits that support every part of your life: At ...

Transunion

Senior Data Analyst

Boca Raton, FL

$90K - $150K/yr

... a Senior Manager of Data Science & Analytics. As part of the Data Analytics Team, you will help ... Experience leading data science initiatives Benefits that support every part of your life: At ...

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All JobsSr Data Scientist JobsSr Data Scientist Jobs in Boca Raton, FL

Sr Data Scientist information

See Boca Raton, FL salary details

$39.4K

$135.2K

$190.7K

How much do sr data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr data scientist in Boca Raton, FL is $135,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.
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What cities near Boca Raton, FL are hiring for Sr Data Scientist jobs? Cities near Boca Raton, FL with the most Sr Data Scientist job openings:
Sr Data Scientist jobs near you
Infographic showing various Sr Data Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,190 per year, or $65 per hour.

Senior Data Scientist

Haystack News

Fort Lauderdale, FL • Remote

Full-time

Re-posted 27 days ago

Job description

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

MINIMUM QUALIFICATIONS

  • PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field

  • 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).

  • Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.

  • Proficiency in causal inference methods to measure product impact.

  • Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.

  • Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.

  • Strong experience with SQL (e.g. postgres, snowflake, etc).

PREFERRED QUALIFICATIONS:

  • Experience working on consumer-facing products with millions of users.

  • Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).

  • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.

  • Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

RESPONSIBILITIES

  • Build statistical and machine learning models to improve content discovery and user engagement.

  • Work closely with ML engineers to translate models and insights into production systems.

  • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

  • Apply causal inference methods to understand the impact of potential product changes.

  • Define and build new ML features using text and multimodal embeddings and GenAI.

  • Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.