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Splunk Data Scientist Jobs (NOW HIRING)

Data Scientist

Washington, DC · Hybrid

$130K - $150K/yr

Description Tyto Athene is hiring a Data Scientist to join a Cybersecurity and IT Risk Management ... Experience with Splunk, Spark, Hadoop, or real-time algorithm development. * Six Sigma ...

Data Scientist

Washington, DC · On-site

$130K - $152K/yr

Description Tyto Athene is hiring a Data Scientist to join a Cybersecurity and IT Risk Management ... Experience with Splunk, Spark, Hadoop, or real-time algorithm development. * Six Sigma ...

We are seeking a Data Scientist with experience in SIGINT. This role requires compiling various ... Splunk, SQL, Elastic, Kibana or Networking experience is a plus. * Front end web development using ...

Data Scientist

Washington, DC · Hybrid

$130K - $152K/yr

Tyto Athene is hiring a Data Scientist to join a Cybersecurity and IT Risk Management contract ... Experience with Splunk, Spark, Hadoop, or real-time algorithm development. * Six Sigma ...

Job Title SME- Data Scientist Location Augusta, GA 30905 US (Primary) Category Intelligence Job ... Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic ...

Senior Data Scientist

Fort Belvoir, VA · On-site

$140K - $170K/yr

... Splunk, First Alert) * Support data ingestion, transformation, and orchestration efforts in ... Required: * Bachelor's or Master's degree in Data Science, Computer Science, or a related field ...

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic ...

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic ...

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army ... Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic ...

Data Scientist SME - Automation Specialist (Adversary Disruption) Mission Overview We are seeking a ... Technical closing of complex playbooks within Splunk Phantom or Cortex XSOAR to automate adversary ...

Data Scientist SME - Automation Specialist (Adversary Disruption) Mission Overview We are seeking a ... Technical closing of complex playbooks within Splunk Phantom or Cortex XSOAR to automate adversary ...

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Splunk Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do splunk data scientist jobs pay per year?

As of Jun 9, 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.
More about Splunk Data Scientist jobs
Infographic showing various Splunk Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Security Clearance: Active TS/SCI with FS Polygraph required
Position
Seeking a Data Scientist to support an Intelligence Client.
What You'll Do
  • Assemble large, complex sets of data to meet functional and other requirements
  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
  • Construct and perform complex database search queries in multiple databases using SQL and API interfaces
  • Curate and maintain data stores in support of metrics and evaluation
  • Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
  • Communicate and/or present product insights to technical and non-technical individuals

Required
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
  • Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
  • Proficiency using mathematical, statistical, or other data-driven analysis
  • Proficiency with APIs; both development/update of internal APIs and use of external APIs
  • Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
  • Experience in applying qualitative and quantitative data analysis methods to analytics problems
  • Critical thinking and problem-solving skills for datasets which are unstructured
  • Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
  • Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
  • Proficiency working independently or as a member of a team to research, organize, and analyze information
  • Must have strong interpersonal and communication skills

Desired
  • Experience with transforming, manipulating, and combining data using a programming language, such as Python
  • Experience with using git, or similar version control systems
  • Experience with extract, transform and load (ETL) development for data ingest pipelines
  • Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
  • Experience with CI/CD pipelines
  • Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
  • Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor's data handling procedures
  • Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience
  • M.S. or PhD in a quantitative or STEM related major
  • Experience with large scale ETL from multiple sources
  • Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
  • Experience with Docker or containers
  • Experience with Databricks
  • Experience with Graph Databases (e.g. Neo4j, Neptune)
  • Experience with Graph Analytics
  • Experience with Kubernetes
  • Experience with Spark
  • Experience programming with distributed computing
  • Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

What You'll Love About Apogee
  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

Apogee's Mission
  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer