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Temporary Google Data Science Jobs in Georgia (NOW HIRING)

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ... Science, Information Technology, Data Science, or related field Preferred : • 2+ years of ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

Research and propose cutting-edge data science techniques and methodologies to improve existing ... Google Cloud). * Problem-Solving: Ability to design and implement innovative solutions to complex ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

New

Based on the specific data science project, this role would need to be knowledgeable in one or more ... Must be proficient running queries against data (preferably with Google BigQuery or SQL ...

Based on the specific data science team, this role would need to be Proficient in one or more data ... Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with ...

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Experience running queries against data (preferably with Google BigQuery or SQL) * Experience in ...

Based on the specific data science team, this role has expertise in one or more data science ... Expertise running queries against data (preferably with Google BigQuery or SQL) * Advanced ...

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Temporary Google Data Science information

What are temporary Google data science jobs?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.

What are the key skills and qualifications needed to thrive as a Temporary Google Data Scientist, and why are they important?

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.
What are the most commonly searched types of Google Data Science jobs in Georgia? The most popular types of Google Data Science jobs in Georgia are:
What are popular job titles related to Temporary Google Data Science jobs in Georgia? For Temporary Google Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Google Data Science jobs in Georgia look for? The top searched job categories for Temporary Google Data Science jobs in Georgia are:
What cities in Georgia are hiring for Temporary Google Data Science jobs? Cities in Georgia with the most Temporary Google Data Science job openings:

data science engineer

OVA.Work

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
OVA.Work is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will collaborate with data analysts, data scientists, and software engineers to ensure reliable data flow, storage, and accessibility for business insights and analytics.
Responsibilities:
• Develop, maintain, and optimize ETL/ELT pipelines
• Build scalable data architectures and data warehouses
• Integrate data from multiple sources (APIs, databases, cloud platforms)
• Ensure data quality, integrity, and security
• Monitor and troubleshoot data pipeline performance
• Collaborate with analytics and business teams for reporting needs
• Implement data governance and best practices
• Automate workflows and improve data processing efficiency
• Support real-time and batch data processing systems
Qualifications:
Required:
• Strong knowledge of SQL and database systems
• Experience with Python, Scala, or Java
• Hands-on experience with ETL tools and frameworks
• Knowledge of cloud platforms such as: Amazon Web Services, Google Cloud, Microsoft
• Experience with big data technologies: Apache Spark, Hadoop, Kafka
• Familiarity with data warehousing concepts
• Understanding of CI/CD and DevOps practices
• Problem-solving mindset
• Strong communication skills
• Team collaboration
• Analytical thinking
• Attention to detail
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
Preferred:
• 2+ years of experience in data engineering or related roles
• Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt
• Exposure to machine learning pipelines is an advantage
• Relevant certifications are a plus
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.