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Hourly Google Data Science Jobs in Ohio (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH

Master's Degree or higher in Computer Science, Data Science, or Information Systems * Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud * Data ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and ...

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

Master's Degree or higher in Computer Science, Data Science, or Information Systems * Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud * Data ...

VTG

Data Scientist

Beavercreek, OH · On-site

Master's Degree or higher in Computer Science, Data Science, or Information Systems * Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud * Data ...

VTG

Data Scientist

Beavercreek, OH · On-site

Master's Degree or higher in Computer Science, Data Science, or Information Systems * Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud * Data ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and ...

CareSource

Data Scientist II

Dayton, OH · On-site

$83K - $132K/yr

Bachelor's Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other ... Experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

$120 - $180/hr

Bachelor's or master's degree in computer science, Information Technology, Data Science, or a ... Experience with AWS, Azure, or Google Cloud PREFERRED QUALIFICATIONS * Experience developing ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... or Google Cloud PREFERRED QUALIFICATIONS Experience developing LLM-powered applications in ...

Flexjet LLC

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Bachelor\'s or master\'s degree in computer science, Information Technology, Data Science, or a ... Experience with AWS, Azure, or Google Cloud Preferred Qualifications * Experience developing LLM ...

Flexjet

Senior Data Scientist

Cleveland, OH

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... Google Cloud PREFERRED QUALIFICATIONS · Experience developing LLM-powered applications in ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... computer science, Information Technology, Data Science, or a related field, or an equivalent ... Google Cloud PREFERRED QUALIFICATIONS • Experience developing LLM-powered applications in ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

Required : • Bachelor's or master's degree in computer science, Information Technology, Data ... Google Cloud Preferred : • Experience developing LLM-powered applications in enterprise ...

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Hourly Google Data Science information

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

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

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Hourly Google Data Science jobs near you

Data Scientist

VTG

Beavercreek, OH

Full-time

Posted 10 days ago

Job description

Overview

VTG is seeking a Data Scientist to support our Team in Beavercreek, OH. The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data, conducting data analytics, and developing data analytic and AI/ML based applications. This is an onsite role due to its classification level.


What will you do?

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data scientist would be involved at all levels of the data life cycle from onboard management of data to its use in application development and back to application integration and gathering test data.

  • Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment
  • Perform data analytics of simulated and real-world data
  • Integrate structured and unstructured data from disparate data sources
  • Develop applications and models supporting various users
  • Provide technical input to program managers and government representatives

Do you have what it takes?

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Qualifications:

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Education:UNAVAILABLEEmployment Type: FULL_TIME

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