ZipRecruiter

Log In

1

Hourly Google Data Science Jobs in Florida (NOW HIRING)

Independent Living Systems

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)

Univision

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)

Leidos

Data Architect SME

Tampa, FL · On-site

$60.25 - $77.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering ... Amazon Web Services (AWS), Google Cloud Platform (GCP), or hybrid cloud architectures.

Leidos

Data Architect SME

Tampa, FL · Hybrid

$60.25 - $77.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering ... Amazon Web Services (AWS), Google Cloud Platform (GCP), or hybrid cloud architectures.

New

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

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

previous page

Showing results 41-60

All JobsHourly Google Data Science JobsHourly Google Data Science Jobs in Florida

Hourly Google Data Science information

What is an hourly Google data science?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.

What does an hourly Google data scientist do?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

What skills and qualifications are needed to thrive as an hourly Google data scientist?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.

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 are popular job titles related to Hourly Google Data Science jobs in Florida?

For Hourly Google Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Hourly Google Data Science jobs in Florida look for?

The top searched job categories for Hourly Google Data Science jobs in Florida are:

Hourly Google Data Science jobs near you

Google Cloud Data Flow Engineer

Ruri Software Technologies LLC

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Re-posted 5 days ago

Job description

Job Title: Google Cloud Data Flow Engineer
Duration: 8+ months
Location: Tampa , FL (hybrid)
Position Summary:
Seeking a skilled Google Cloud Data Flow Engineer with a proven track record in leveraging Google Cloud Platform (GCP) tools to design, build, and maintain scalable and reliable data solutions. The ideal candidate will possess deep expertise in GCP tools, especially Dataflow, BigQuery, and Cloud Composer, and will work collaboratively with cross-functional teams to address data-related technical challenges and enhance our data infrastructure.
Key Responsibilities:
1. Design, build, and deploy scalable and robust data pipelines using Google Cloud Dataflow.
2. Harness the capabilities of BigQuery for data analytics, ensuring optimized performance and cost efficiency.
3. Manage workflow orchestration and automation using Cloud Composer.
4. Monitor, troubleshoot, and optimize data pipelines for performance, ensuring data quality and integrity.
5. Stay updated with GCP's latest features and best practices to ensure the company's data infrastructure remains cutting-edge.
6. Document data architectures, processes, and data lineage for transparency and maintainability.
Qualifications:
1. 3-4 years of experience as a data engineer with significant exposure to the Google Cloud Platform.
2. Strong expertise in GCP tools, particularly Dataflow, BigQuery, and Cloud Composer.
3. Strong GCP Dataflow, Java/Python & beam skills, Lead experience for delivery streams.
4. Experience in working with streaming / messaging systems like Kafka, Pulsar, GCP PubSub, RabbitMQ and similar tools. Including connectors for systems like Cassandra.
5. Familiarity with other GCP services such as Cloud Storage, and Dataproc..
6. Strong analytical and problem-solving skills.
7. Familiarity with other cloud platforms (e.g., AWS, Azure) is a plus.
8. Excellent communication skills, both written and verbal.
9. Bachelor's degree in Computer Science, Engineering, or a related field.

Apply