How much does a Data Scientist make in Louisville, KY?
In Louisville, KY, data scientists can expect to earn a competitive salary. The average yearly salary for this role stands at $140,683. This figure varies based on experience and skill level. For example, those with less experience may earn closer to the lower end of the salary range, while more experienced data scientists can command higher salaries.
The distribution of salaries shows a wide range of earnings. The majority of data scientists fall within the middle of the salary spectrum. Here is a breakdown of the salary distribution: 31.67% earn around $95,050, 5.28% earn approximately $105,159, and another 5.28% earn about $115,268. At the higher end, 5.28% of data scientists earn close to $196,141. These figures illustrate the potential for growth and the rewards that come with experience and expertise in the field.
What are the highest paying cities for a Data Scientist near Louisville, KY?

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Nashville, TN
Average Salary: $136,527
In Nashville, tech companies and healthcare organizations offer exciting opportunities. The city's vibrant community and affordable cost of living make it attractive to many. Companies like Amazon and Dell thrive here.
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Indianapolis, IN
Average Salary: $134,503
Indianapolis is a hub for tech and finance. With numerous data-driven companies, career growth is promising. Notable employers include Lilly and Simon Property Group, providing a stable work environment.
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Louisville, CO
Average Salary: $133,400
Louisville combines a small-town feel with big opportunities. The tech scene is growing fast, offering varied roles. Key employers include Lockheed Martin and Microsoft, attracting top talent.
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Dayton, OH
Average Salary: $122,432
Dayton features a blend of manufacturing and tech firms. The city's rich history in aviation and engineering creates unique data opportunities. Wright-Patterson Air Force Base and General Motors are significant employers.
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Columbus, OH
Average Salary: $121,775
Columbus offers a vibrant job market with major employers in healthcare and tech. The city's strong educational institutions create a steady flow of fresh talent. Companies like Nationwide and Huntington Bank are prominent here.
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Cincinnati, OH
Average Salary: $120,621
Cincinnati stands out for its diverse industries. With banks, healthcare, and tech companies, there are many data roles. Employers like Procter & Gamble and Kroger offer solid career paths.
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Frankfort, KY
Average Salary: $110,413
Frankfort, with its political and administrative roles, provides unique data opportunities. The smaller size means close-knit work environments. Key employers include the state government and companies like Humana.
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Lexington, KY
Average Salary: $79,994
Lexington combines tech and healthcare, offering various roles. The city's growing tech scene and strong universities create a dynamic job market. Notable employers include UPS and Anthem.
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What are the best paying companies for a Data Scientist in Louisville, KY?

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Genentech
Average Salary: $181,600
Genentech, located in South San Francisco, CA, is a biotech company with offices in Louisville, KY. Genentech offers rewarding Data Scientist roles. Their team focuses on using data to drive innovation in healthcare. The company values expertise and collaboration, offering a competitive salary package.
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PwC
Average Salary: $161,906
PwC is a global professional services firm with a strong presence in Louisville, KY. They hire Data Scientists to improve business operations and client services. This role requires strong analytical skills and the ability to translate data into actionable insights. PwC provides a dynamic work environment with opportunities for growth.
What are the best paying Data Scientist related jobs in Louisville, KY?

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Intelligence Analyst
Average Salary: $202,000
Companies in the area use these experts to gather and analyze data to make better decisions. Roles often include working with law enforcement or government agencies. Professionals need strong skills in data analysis and critical thinking.
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Market Intelligence Analyst
Average Salary: $186,625
Firms depend on these professionals to analyze market trends and consumer behavior. They work closely with marketing teams to develop strategies. A solid understanding of data analysis and market research is essential.
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Clinical Data Management Director
Average Salary: $169,500
Healthcare institutions require these leaders to oversee clinical data systems. They ensure data quality and compliance. A background in healthcare and data management is necessary. This role often involves working with medical teams.
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Data Engineer
Average Salary: $147,363
Tech companies in the area need these specialists to build and maintain data infrastructure. They work on databases and data pipelines. Proficiency in programming and data systems is crucial. Collaboration with data scientists is common.
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Machine Learning Engineer
Average Salary: $131,962
Technology firms hire these experts to develop machine learning models. They work on improving algorithms and data sets. Strong skills in programming and data analysis are required. Often, they collaborate with data scientists and software engineers.
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Software Engineer
Average Salary: $119,062
Software development companies seek these professionals to create and maintain software applications. They write code and test software. A solid understanding of programming languages is essential. They often work in teams with other engineers.
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Quantitative Analyst
Average Salary: $106,917
Financial institutions hire these analysts to analyze data and develop models. They work on risk management and investment strategies. Proficiency in statistics and financial analysis is necessary. Often, they work in fast-paced environments.
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Business Intelligence Analyst
Average Salary: $86,892
Companies use these analysts to turn data into actionable insights. They create reports and dashboards. Strong skills in data analysis and business understanding are important. They often work with executives to inform decision-making.
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Statistician
Average Salary: $79,733
Research firms and academic institutions rely on these professionals to analyze data and draw conclusions. They work on experiments and studies. A strong background in statistics and mathematics is necessary. They often publish findings in journals.
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Data Modeler
Average Salary: $76,150
Companies need these specialists to design and manage data structures. They ensure data is organized and accessible. Strong skills in database design and data analysis are crucial. They often work with data engineers and scientists.
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