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Google Data Science Jobs in Arizona (NOW HIRING)

Data Science - Technical

Chandler, AZ ยท On-site +1

$106K - $214K/yr

Using a variety of tools, including Google Analytics, to monitor web data, log data, and threat ... This position is focused on Cybersecurity Data Science. DHS Cybersecurity Service jobs are ...

Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services ... Experience supporting the design, development, or deployment of enterprise data science or ...

Data Solutions Engineer

Tempe, AZ ยท On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Google Cloud) and large-scale data processing. * 1 year of experience in machine learning model ...

Databricks Data Engineer

Tempe, AZ ยท On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ...

Tableau/Power Bi Developer (Junior)

Peoria, AZ ยท On-site

$66K - $86K/yr

... apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are ... We need data science/data engineers/data analyst and Java full stack candidates. Preferred skills ...

S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field. What ... Becoming a Google Cloud Certified Professional Data Engineer or Machine Learning Engineer (if not ...

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Google Data Science information

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
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 cities in Arizona are hiring for Google Data Science jobs? Cities in Arizona with the most Google Data Science job openings:
Infographic showing various Google Data Science job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science - Technical

DHS Headquarters

Chandler, AZ โ€ข On-site, Remote

$106K - $214K/yr

Full-time

Posted 14 days ago


Job description

Summary
The Department of Homeland Security (DHS) is recruiting professionals to support a range of technical roles in Cybersecurity Data Science, including Data Scientist, Data Engineers, Artificial Intelligence (AI) Specialist, AI Operations Analyst, Data Modeler, Data Security Officer and Operations Research Analyst. All positions are in the DHS Cybersecurity Service.
Learn more about this agency
Duties
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There are a variety of Cybersecurity Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA), the DHS Office of the Chief Information Officer (OCIO), the Federal Emergency Management Agency (FEMA), the U.S. Immigration and Customs Enforcement Agency (ICE) and the U.S. Secret Service. As a DHS Cybersecurity Service employee in the Technical Career Track, you will continually maintain and share your Cybersecurity Data Science expertise to perform a range of critical, complex, routine and non-routine tasks, including:
  • Applying knowledge of essential cybersecurity policies to data management to develop data standards, policies, and procedures to facilitate and implement data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis.
  • Conducting hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from large data sets.
  • Proactively collaborating with systems analysts, engineers, and programmers to design applications integrating data from several disparate sources that is stored using different technologies to provide a unified view of the data.
  • Using a variety of tools, including Google Analytics, to monitor web data, log data, and threat data analytics, to provide a managed flow of relevant information based on cybersecurity mission requirements.
  • Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
  • Planning for anticipated changes in enterprise data capacity requirements and effectively allocating storage capacity in the design of new data management systems, technologies, and architectures.
  • Providing technical and nontechnical support to collect metrics and trending data using enterprise data management systems (e.g., SPLUNK) and cloud-based systems (e.g., AWS).
  • Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
  • Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
  • Designing and implementing data pipelines for the analysis of cyber data into systems.
  • Structuring, cleaning, enriching, and validating data in preparation for discovery and use.
  • Building and maintaining scalable database architecture and data processing systems.

Requirements
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Conditions of employment
  • You must be a U.S. Citizen or national.
  • You must be 18 years of age.
  • Must be registered for the Selective Service (if you are a male).
  • Must be able to obtain and maintain a security clearance. Security clearance levels may vary.
  • Must be able to submit to a drug test and receive a negative result.
  • Must be able to comply with ethics and standards of conduct requirements, including completing any applicable financial disclosure.
  • May be required to serve a 3 year probationary period.

Qualifications
This position is in the Technical Track across a range of career levels. Employees in this career track generally:
  • Have between 5-15 years of cybersecurity work experience.
  • Range from experienced cybersecurity professionals who apply technical expertise and independent judgement to perform cybersecurity work - to - recognized Federal cybersecurity technical authorities with uncommon technical expertise who advise on cybersecurity challenged impacting DHS and the Nation.

DHS Cybersecurity Service employees with a technical capability in Cybersecurity Data Science will generally:
  • Examine data with the goal of providing new insight for the purposes of cybersecurity.
  • Design and implement custom algorithms, flow processes and layouts for complex, enterprise-scale data sets used for modeling, data analytics, and research purposes.
  • Apply understanding of cybersecurity field to inform analytical methodologies and algorithms selected for implementation.
  • Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data.
  • Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques.
  • Communicate insights gained to mission user.

DHS Cybersecurity Service employees start at career levels and salaries matching their experience and expertise. To learn more about DHS Cybersecurity Service career tracks and levels, visit our application portal.
This position is focused on Cybersecurity Data Science.
DHS Cybersecurity Service jobs are structured cybersecurity specializations - called technical capabilities. To learn more about technical capabilities, visit our application portal.
Education
Degrees are not required for jobs in the DHS Cybersecurity Service, but DHS is interested in your level of education and the topics you studied. As you submit initial application information, you will be asked questions about your education.
Additional information
Salary: Listed salary ranges reflects typical starting salaries available to employees in most of the United States across applicable career levels. Within the provided range, average salaries vary for each career level.
Senior Cybersecurity Specialist: $106,700 - $138,000
Staff Cybersecurity Specialist: $129,700 - $163,000
Principal Cybersecurity Specialist: $154,600 - $196,500
Senior Principal Cybersecurity Specialist: $170,600 - $214,500
In some geographic areas, average starting salaries will be higher because of a local cybersecurity labor market supplement (e.g., metro Washington, D.C. +10%).
Actual salaries of individual employees may be higher or lower than provided figures. For an overview of the salaries available in the DHS Cybersecurity Service, visit Resources.
Benefits: DHS Cybersecurity Service employees receive a range of federal employment benefits designed to support their professional and personal lives. To learn more about benefits, visit our application portal.
More information about the specific benefits available to you will be provided as you progress through the application process.
Background Investigation: To ensure the accomplishment of its mission, the Department of Homeland Security (DHS) requires each and every employee to be reliable and trustworthy. To meet those standards, all selected applicants must undergo and successfully complete a background investigation for a security clearance as a condition of placement in this position. This review includes financial issues such as delinquency in the payment of debts, child support and/or tax obligations, as well as certain criminal offenses and illegal use or possession of drugs.
Pursuant to Executive Order 12564 and DHS policy, DHS is committed to maintaining a drug-free workplace and, therefore, conducts random and other drug testing of its employees in order to ensure a safe and healthy work environment. Headquarters personnel in safety- or security-sensitive positions are subject to random drug testing and all applicants tentatively selected for employment at DHS Headquarters are subject to drug testing resulting in a negative test result.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.