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Google Data Science Jobs in Indiana (NOW HIRING)

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

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

SynergisticIT

Junior Java/C++ Developer

Fort Wayne, IN · On-site

$61K - $79K/yr

... google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Currently, We are ... Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

SynergisticIT

Backend Developer

Indianapolis, IN · On-site

... google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few. Currently, We are ... Data Scientists, and Machine Learning engineers for full-time positions with clients. Who Should ...

SynergisticIT

C++ Developer

Indianapolis, IN · On-site

$46.75 - $63/hr

... google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few. Currently, We are ... Data Scientists, and Machine Learning engineers for full-time positions with clients. Who Should ...

Deloitte

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

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. * 8+ years ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Indiana

Google Data Science information

See Indiana salary details

$23K

$108.7K

$188K

How much do google data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for google data science in Indiana is $108,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,370.00 and $136,396.00 per year, depending on experience, location, and employer.

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

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 highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

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 are popular job titles related to Google Data Science jobs in Indiana? For Google Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Indiana look for? The top searched job categories for Google Data Science jobs in Indiana are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,680 per year, or $52.2 per hour.
Part Time Computer Science Teacher Part Time IT Support Specialist

Part Time Computer Science Teacher Part Time IT Support Specialist

Indiana Math and Science Academy

Indianapolis, IN

$48K - $66K/yr

Full-time

Posted 13 days ago

Job description

Instructional Planning and Delivery:
  • Develop and implement engaging computer science lessons aligned to Indiana’s High-Quality Computer Science Standards and the school’s curriculum.
  • Teach grade-appropriate coding, digital literacy, cybersecurity basics, algorithms, and computational thinking concepts.
  • Integrate hands-on learning opportunities, including robotics, block-based coding, and technology exploration.
  • Utilize multiple instructional strategies to meet the diverse learning needs of students.
  • Use formative and summative assessments to monitor student progress and guide instructional decisions.
  • Prepare and maintain technology, devices, software, and instructional materials necessary for classroom learning.
IT Support and Technology Operations:
  • Support the day-to-day technology operations of the school, including device setup, troubleshooting, maintenance, and basic repairs.
  • Assist with network setup, connectivity troubleshooting, and general technology infrastructure support.
  • Maintain and manage Google Workspace for Education (Google for Schools), including student/staff accounts, permissions, devices, and related systems.
  • Support printers, Chromebooks, classroom technology, projectors, and other instructional technology tools.
  • Collaborate with school leadership and network IT personnel to ensure technology systems operate effectively and securely.
  • Maintain inventory of school technology devices and assist with technology distribution and collection processes.
Classroom Management:
  • Establish and maintain clear expectations for student behavior in a technology-rich environment.
  • Ensure students follow digital citizenship guidelines and safe technology use practices.
  • Create a structured and supportive classroom environment that promotes collaboration, creativity, and problem-solving.
  • Manage computer lab routines, transitions, device distribution, and equipment care efficiently.
  • Address behavioral concerns promptly and according to school policies.
Student Support and Differentiation:
  • Provide targeted interventions, small-group instruction, and enrichment opportunities based on student needs and performance data.
  • Support students with IEPs, ILPs, or 504 plans through appropriate accommodations and modifications.
  • Differentiate and scaffold instruction so all learners can successfully develop computer science and technology skills.
  • Maintain accurate records of student performance, participation, and progress.
Communication and Collaboration:
  • Communicate professionally with families regarding student progress, expectations, and behavior.
  • Participate in parent-teacher conferences, staff meetings, and school-wide technology initiatives.
  • Collaborate with teachers, instructional coaches, and STEM staff to integrate computer science into broader STEM learning experiences.
  • Support robotics clubs, competitions, STEM nights, or technology events as assigned. Some after-school or weekend participation may be required with additional compensation.
Professional Development and Growth:
  • Engage in ongoing professional development related to computer science instruction, educational technology, networking, and STEM best practices.
  • Implement feedback from administrators and instructional coaches to strengthen instructional effectiveness.
  • Stay current with emerging technologies, coding platforms, networking tools, and trends in K–12 computer science education.
Qualifications:
  • Bachelor’s degree from an accredited college or university in Computer Science, Information Technology, Education, STEM, or a related field preferred.
  • Valid Indiana Teaching License or ability to obtain one preferred.
  • Experience teaching computer science, STEM, or technology to elementary or middle school students preferred.
  • Strong understanding of networking basics, device management, and school technology systems.
  • Experience with Google Workspace for Education administration and management preferred.
  • Ability to troubleshoot hardware, software, connectivity, and classroom technology issues.
  • Strong organizational, communication, and problem-solving skills.
  • Must complete and pass all required Indiana background checks for school personnel.

Please ensure you include 2–3 professional references with your application.