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Splunk Data Scientist Jobs (NOW HIRING)

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Experience with ServiceNow and Splunk * Experience supporting IC or DoD in the Cyber Security ...

... data integrity and system performance across mission-critical networks and applications ... Required : • Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or ...

... Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data ... Collaborate with engineering, product, and data science teams to understand requirements ...

... Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data ... Collaborate with engineering, product, and data science teams to understand requirements ...

... Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data ... Collaborate with engineering, product, and data science teams to understand requirements ...

... Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data ... Collaborate with engineering, product, and data science teams to understand requirements ...

... Splunk, where we advance the state of AI for highvolume, realtime, multimodal machinegenerated data ... Collaborate with engineering, product, and data science teams to understand requirements ...

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Splunk Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do splunk data scientist jobs pay per year?

As of Jul 21, 2026, the average yearly pay for splunk data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Splunk Data Scientist do?

A Splunk Data Scientist uses Splunk's data platform and analytical tools to collect, analyze, and interpret large volumes of machine-generated data. They build models and dashboards to extract insights, detect patterns, and support decision-making processes for organizations. Their responsibilities often include working with data from IT systems, security logs, and business operations, and applying machine learning or statistical techniques to solve complex problems. They also collaborate with IT, security, and business teams to ensure that data-driven solutions align with organizational goals.

What are the key skills and qualifications needed to thrive as a Splunk Data Scientist, and why are they important?

To thrive as a Splunk Data Scientist, you need expertise in data analysis, statistics, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with Splunk Enterprise, SPL (Search Processing Language), data visualization tools, and relevant certifications like Splunk Core Certified Power User are typically required. Strong problem-solving, communication, and collaboration skills help you translate technical findings into actionable business insights. These skills and qualities are crucial for efficiently extracting value from complex data, driving decision-making, and maximizing the benefits of Splunk in organizational contexts.

How does a Splunk Data Scientist typically collaborate with IT and security teams within an organization?

As a Splunk Data Scientist, you’ll work closely with IT and security teams to analyze large volumes of machine data, identify patterns, and develop actionable insights for threat detection and operational efficiency. Collaboration often includes regular meetings to understand team needs, sharing predictive models or dashboards, and translating complex data findings into actionable recommendations for non-technical stakeholders. This role requires strong communication skills and a proactive approach to bridge data science techniques with practical IT and security objectives.

Can data scientists make $300k?

Data scientists, including those working with Splunk, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and roles in high-paying industries or senior positions. Achieving this level often requires specialized expertise, certifications, and a strong track record of impactful work.

How much does Splunk pay senior data scientists?

Senior data scientists at Splunk typically earn between $110,000 and $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, especially for those with expertise in machine learning and data analysis tools used within Splunk's platform.

Is 40 too late for data science?

Age is not a barrier to becoming a Splunk Data Scientist; many professionals successfully transition into data science later in their careers. Success depends on acquiring relevant skills such as data analysis, machine learning, and proficiency with tools like Splunk, along with continuous learning and practical experience.
More about Splunk Data Scientist jobs
Infographic showing various Splunk Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Software Engineer 4 - Linux/Shell/Python/Perl/Splunk/Kafka/IaC/CI/CD/Git

Captivation

Annapolis Junction, MD • On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
Captivation is a company known for providing timely solutions to its customers. They are seeking a senior level software engineer to design, develop, and maintain a comprehensive distributed Metrics and Monitoring solution for HPC systems, ensuring the reliability, performance, and scalability of HPC infrastructure.
Responsibilities:
• Designing, developing and maintaining a comprehensive distributed Metrics and Monitoring solution for HPC systems to ensure the reliability, performance, and scalability of HPC infrastructure.
Qualifications:
Required:
• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
• Master's degree in Computer Science or related discipline from an accredited college or university, plus ten (10) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus twelve (12) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Fourteen (14) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Experience using the Linux CLI and the Linux suite of tools
• Experience developing Shell/Perl scripts to automate manual processes
• Recent software development experience using Python
• Experience with Splunk SPL, dashboard creation, and report development
• Experience with Splunk data onboarding, field extractions, data models, and performance tuning
• Experience with Splunk alerting, incident management workflows, and event correlation
• Familiar interfacing with Log Management tools including Syslog-ng and rsyslog
• Familiar Message Brokers such as Kafka
• Experience with IaC (Infrastructure as Code) principles and automation tools including Ansible
• Experience with CI/CD principles, methodologies, and tools such as GitLab CI
• Experience with Git Source Control System
Preferred:
• Experience with the Atlassian Tool Suite (JIRA, Confluence)
Company:
Build something to be proud of. Captivation is focused on engineering digital solutions for mission makers. Founded in 2014, the company is headquartered in Baltimore, USA, with a team of 11-50 employees. The company is currently Early Stage.