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Google Data Science Jobs in Phoenix, AZ (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ · On-site

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 ...

Pwc

AI & GenAI Data Scientist-Director

Phoenix, AZ · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

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 ...

New

MUFG

AVP, Audit Execution Analytics

Tempe, AZ · Hybrid

$106K - $130K/yr

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 ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Collaborate with data scientists, analysts, and business stakeholders to understand data ... Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Collaborate with data scientists, analysts, and business stakeholders to understand data ... Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub ...

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Google Data Science information

See Phoenix, AZ salary details

$23.8K

$112.7K

$194.9K

How much do google data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for google data science in Phoenix, AZ is $112,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,947.00 and $141,464.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ? For Google Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Phoenix, AZ look for? The top searched job categories for Google Data Science jobs in Phoenix, AZ are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,717 per year, or $54.2 per hour.

Data Analyst

Connexzia

Scottsdale, AZ • On-site

Full-time

Re-posted 17 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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