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Google Data Science Jobs in Arizona (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related ... Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.

Zenotis Technologies INC

Data Scientist

Phoenix, AZ · On-site

This role requires someone who can work across the complete data science lifecycle--from ... Experience with Google Cloud Platform , modern data pipelines, and LLMs/Agentic AI will be a ...

NucleusTeq Inc

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Data: PySpark * Spark, Python, Google Cloud Platform is must have * Strong experience with ... Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field ...

MUFG

AVP, Audit Execution Analytics

Tempe, AZ · Hybrid

$106K - $130K/yr

  • Medical

  • Retirement

  • PTO

Professional certifications related to data analytics, data science and/or audit are preferred, such as Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate ...

Deloitte

Google AI Architect

Gilbert, AZ

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ... Bachelor's degree in Computer Science, Engineering or a related technical field. * 6+ years ...

Deloitte

Google AI Architect

Tempe, AZ

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ... Bachelor's degree in Computer Science, Engineering or a related technical field. * 6+ years ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, or a related field. Technical Skills: * 5+ ... Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed ...

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Google Data Science information

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 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 popular job titles related to Google Data Science jobs in Arizona?

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

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

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

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

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

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

Connexzia

Scottsdale, AZ

Full-time

Re-posted 22 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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