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Google Data Science Jobs in Indiana (NOW HIRING)

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

... Science, Economics, or a related field. * Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio.

STI

Data Analyst

Indianapolis, IN · On-site

... Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

... or Google Cloud Platform for data platforms and scalable compute * 4+ years of experience ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Novocure

Data Architect

Zionsville, IN

$61.75 - $79.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Novocure Inc

Data Architect

Indianapolis, IN

$61 - $78.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

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How much do google data science jobs pay per year?

As of Jun 15, 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 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 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
DWD - Data Analyst

DWD - Data Analyst

Staffingine LLC

Indianapolis, IN • On-site

Full-time

Posted 20 days ago

Job description

Job Title: DWD - Data Analyst
Location: Indianapolis, IN
Job Type: Full-Time

Job Description:

  • Gather, clean, and organise large datasets from various sources.
  • Validate and verify data accuracy, consistency, and completeness across various data sources.
  • Identify and resolve data discrepancies, inconsistencies and errors.
  • Perform routine and ad hoc data quality checks using automated and manual validation techniques.
  • Work closely with data entry teams and other analysts, and stakeholders to ensure data integrity.
  • Perform data analysis to identify trends, patterns, and correlations.
  • Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.
  • Collaborate with cross-functional teams to support business objectives.
  • Interpret data to provide strategic recommendations and business insights.
  • Ensure data accuracy and integrity.
  • Use statistical techniques and predictive modelling to improve decision-making.
  • Document processes and methodologies for data collection and analysis.

Required Skills & Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in data analysis tools such as SQL, Python, R, or Excel.
  • Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work independently and in a team-oriented environment.