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Google Math Jobs in Texas (NOW HIRING)

NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ... Preferred : • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics ...

NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ... Preferred : • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics ...

MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field ... Experience in building, hosting applications in Google Cloud Platform kubernetes is a plus.

... Math, Physics, Information Science, Engineering or other related field Skills · Experience in ... in Google Cloud Platform kubernetes is a plus. · Familiarity with IoT understanding from ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a ... Experience with cloud platforms such as Google Cloud Platform (GCP), including services like ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

... Google Cloud Platform (GCP). Quantitative Analysis & Optimization * Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e ...

Own the operational workflow for 3rd party ad serving through Google Campaign Manager 360 (CM360 ... Bachelor's degree in marketing, advertising, communications, applied mathematics, or a related ...

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Google Math information

See Texas salary details

$21K

$54.8K

$88K

How much do google math jobs pay per year?

As of Jun 6, 2026, the average yearly pay for google math in Texas is $54,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $65,200.00 per year, depending on experience, location, and employer.

What is the difference between Google Math vs Google Data Analyst?

AspectGoogle MathGoogle Data Analyst
Required CredentialsMathematics degree or related certificationsDegree in Statistics, Data Science, or related field
Work EnvironmentResearch, academic, or technical teamsBusiness, marketing, and product teams
Industry UsageAcademic, research, and technical sectorsCorporate, tech, and marketing sectors
Common Search/ComparisonFocus on mathematical theories and researchFocus on data analysis, reporting, and insights

Google Math typically involves theoretical and research-focused roles requiring advanced mathematics skills, while Google Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ in application and industry context.

What are the key skills and qualifications needed to thrive as a Google Software Engineer specializing in Mathematics, and why are they important?

To thrive as a Google Software Engineer specializing in Mathematics, you need a strong background in computer science, algorithms, and advanced mathematics, typically supported by a relevant degree. Familiarity with programming languages such as Python, C++, and Java, as well as experience using mathematical libraries and tools like TensorFlow or MATLAB, is important. Analytical thinking, problem-solving, and effective teamwork are essential soft skills for tackling complex challenges and collaborating on innovative solutions. These skills ensure robust, efficient solutions to mathematical and computational problems that support Google's technology and services.

What are Google Math jobs?

Google Math jobs refer to positions at Google that require strong mathematical skills and expertise. These roles often involve working in data analysis, machine learning, research, software engineering, or algorithm development. Employees in these positions use mathematical concepts to solve complex problems, optimize systems, and develop new technologies. Candidates typically have backgrounds in mathematics, statistics, computer science, or related fields.

What types of projects do mathematicians at Google typically work on, and how do they collaborate with interdisciplinary teams?

Mathematicians at Google often contribute to projects involving algorithm development, data analysis, machine learning, and optimization problems. They collaborate closely with software engineers, data scientists, and product managers to solve complex technical challenges, such as improving search algorithms or enhancing security protocols. The work environment is highly collaborative and fast-paced, with frequent brainstorming sessions and opportunities to contribute mathematical expertise to innovative products. This role offers continuous learning and the chance to see your mathematical solutions impact millions of users globally.
What are popular job titles related to Google Math jobs in Texas? For Google Math jobs in Texas, the most frequently searched job titles are:
Infographic showing various Google Math job openings in Texas as of May 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $54,816 per year, or $26.4 per hour.
Finance Analytics & AI Senior Consultant

Finance Analytics & AI Senior Consultant

Deloitte

Austin, TX • On-site

$115K/yr

Full-time

Posted 15 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte helps navigate complexity in finance and global business services by providing integrated solutions and deep industry insights. As a Finance Analytics & AI Senior Consultant, you'll support the design and delivery of finance transformation solutions that leverage data, automation, and AI capabilities.
Responsibilities:
• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams
Qualifications:
Required:
• 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
• Experience deploying machine learning or generative and agentic AI solutions into production environments
• Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
• Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
• Experience with Tableau or Microsoft Power BI
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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