1

Google Data Science Jobs in Florida (NOW HIRING)

Data Scientist - Sr Associate

Plano, TX · On-site

$55K - $55K/yr

The Data Scientist Data Product Owner is responsible for overseeing data science initiatives ... Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences ...

New

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

You will collaborate closely with IT teams, data scientists, and healthcare professionals to ... Proficiency in SQL and experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)

Experience with cloud platforms such as Google Cloud Platform * Familiarity with big data tools ... The brightest minds in finance, science and technology use powerful, advanced analytics to solve ...

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineering will work closely with other teams, such as data science and product ... Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP)

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

You'll work with data from AWS, Azure, and Google Cloud Platform (Google Cloud Platform) , as well ... Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance ...

... BI, Google Analytics 4, and Adobe Analytics required. Preferred Requirements: * Degree concentration in Analytics, Statistics, Marketing Analytics, Business, Data Science, or related field

Showing results 41-60

Google Data Science information

See Florida salary details

$19.5K

$92.4K

$159.7K

How much do google data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for google data science in Florida is $92,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,948.00 and $115,904.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are the most commonly searched types of Google Data Science jobs in Florida?

The most popular types of Google Data Science jobs in Florida are:

What cities in Florida are hiring for Google Data Science jobs?

Cities in Florida with the most Google Data Science job openings:

Infographic showing various Google Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,352 per year, or $44.4 per hour.

Data Scientist - Sr Associate

JPMorgan Chase & Co

Plano, TX • On-site

$55K - $55K/yr

Full-time

Medical, Retirement

Posted 2 days ago

New


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

The Data Scientist Data Product Owner  is responsible for overseeing data science initiatives, coordinating cross-functional teams, and defining technical requirements to support business data needs. This role combines advanced analytics expertise with project management and stakeholder engagement to deliver actionable insights and scalable data solutions.

Job Responsibilities:

  • Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify and secure data required for personalization product capabilities and advanced analytics outcomes, including customer insights and enhanced offer engagement.
  • Develop analyst friendly data products that provide easily accessible business insights
  • Deep dive into data with strong desire to understand "why" and drive increased business value by collaborating with cross-functional teams through descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights.
  • Manage the personalization data roadmap, overseeing backlog, requirements, and prioritization to ensure effective delivery of strategic objectives.
  • Lead discovery efforts for new initiatives, determining and refining business and customer value propositions.
  • Work closely with technology partners to evaluate technical feasibility and data availability for new projects
  • Refine and prioritize user stories to align with consumer experience requirements and business goals.

Required qualifications, capabilities, and skills:

  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 5+ years of experience in applying statistical methods to real world problems 
  • Strong experience with SQL including merging data from various sources 
  • Experience with visualization techniques for data analysis and presentation 
  • Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Preferred qualifications, capabilities, and skills:

  • Marketing, Originations, and or Sales analytics experience preferred.
  • Knowledge of data governance and compliance standards

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom