ZipRecruiter

Log In

1

Splunk Data Scientist Jobs (NOW HIRING)

SAIC

Data Scientist

Washington, DC · On-site +1

Investigate Splunk, ServiceNow, Databricks, and other enterprise data sources to identify relevant indexes, sourcetypes, tables, APIs, fields, relationships, and authoritative records. * Data ...

SAIC

Data Scientist

Washington, DC · On-site

Investigate Splunk, ServiceNow, Databricks, and other enterprise data sources to identify relevant indexes, sourcetypes, tables, APIs, fields, relationships, and authoritative records. * Data ...

BeaconFire Solution

SIEM Data Engineer

Quincy, MA · On-site

$45 - $50/hr

Splunk data administration, Cribl Stream, GitOps (Cribl code deployed using GitOps), Confluence ... Science or Engineering. * 5+ years of experience log onboarding to logging platforms to support ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

Gormat is seeking a Data Scientist with experience leveraging AI/ML techniques for optimization ... Splunk, SQL, Elastic, Kibana or Networking experience is a plus. * Front end web development using ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

... tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

... tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

Amivero

Data Scientist

Columbia, MD

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ... Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk ...

Amivero

Data Scientist

Columbia, MD

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ... Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

We are seeking a Data Scientist with experience leveraging AI/ML techniques for optimization ... Splunk, SQL, Elastic, Kibana, or Networking experience is a plus. * Front end web development using ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$165K - $210K/yr

... tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

next page

Showing results 1-20

All JobsSplunk Data Scientist Jobs

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 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
What job categories do people searching Splunk Data Scientist jobs look for? The top searched job categories for Splunk Data Scientist jobs are:
Splunk Data Scientist jobs near you
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.

Data Scientist (AI/ML)

Waypoint Human Capital

Chantilly, VA • On-site

Full-time

Posted 27 days ago

Job description

Position Title: Data Scientist (AI/ML)
Position Type: Full-Time, Fully On-Site
Location: Chantilly, VA
Clearance: Active TS/SCI with CI Poly
Waypoint's client is seeking a Data Scientist (AI/ML) to join their growing team supporting a National Security customer. This role focuses on leveraging Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data engineering to enhance cybersecurity operations, risk management, and enterprise decision-making. The selected candidate will work with large-scale datasets to develop predictive models, automate analysis, and create innovative solutions that improve cyber situational awareness and mission effectiveness.
Responsibilities
  • Develop, train, test, and deploy machine learning and artificial intelligence solutions to support cybersecurity and risk management initiatives.
  • Analyze large structured and unstructured datasets from vulnerability management, authorization, compliance, and cybersecurity tools.
  • Design predictive analytics models to identify trends, anomalies, and emerging risks.
  • Develop data pipelines and automated workflows to collect, transform, and process data from multiple sources.
  • Create interactive dashboards, visualizations, and executive-level reporting products using tools such as Tableau.
  • Apply statistical analysis, machine learning, and AI techniques to support cyber defense and operational decision-making.
  • Support development and integration of Generative AI, Large Language Models (LLMs), and advanced analytics capabilities where applicable.
  • Collaborate with cybersecurity, engineering, and risk management teams to automate data collection, reporting, and visualization processes.
  • Communicate technical findings and recommendations to both technical and non-technical stakeholders.

Required
  • Active TS/SCI clearance with CI Polygraph.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related STEM field.
  • 5+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines.
  • Strong proficiency in Python and experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or SageMaker.
  • Experience developing, training, and deploying machine learning models in operational environments.
  • Strong understanding of statistics, predictive modeling, data mining, and data analysis techniques.
  • Experience working with SQL databases, data architectures, and large-scale datasets.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience transforming and processing data using Python, JSON, and related technologies.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a mission-focused team environment.

Desired
  • Experience supporting Intelligence Community (IC) or DoD customers.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP).
  • Experience with AWS cloud services, including SageMaker, EMR, and related AI/ML services.
  • Experience with Splunk, ServiceNow, or cybersecurity-focused data platforms.
  • Familiarity with RMF, FISMA, vulnerability management, and cybersecurity compliance frameworks.
  • Experience with Apache Hadoop, Spark, or distributed data processing environments.
  • Experience briefing senior government stakeholders and executive leadership.
  • Advanced degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related field.

Preferred Technical Skills
  • Python
  • SQL
  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Generative AI
  • LLMs
  • NLP
  • Tableau
  • AWS SageMaker
  • Hadoop
  • Spark
  • Splunk
  • Data Visualization
  • Predictive Analytics
  • Statistical Modeling
  • Data Engineering

Apply