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Splunk Data Scientist Jobs (NOW HIRING)

Data Scientist

Camp Springs, MD · On-site

$80 - $120/hr

Must be local to the DMV area The Gist The Data Scientist is responsible for developing advanced ... Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk ...

Data Scientist

Camp Springs, MD · On-site

$90 - $120/hr

Must be local to the DMV area The Gist The Data Scientist is responsible for developing advanced ... Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk ...

NLM Data Scientist

Bethesda, MD · On-site

$100K - $115K/yr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics * Experience ...

Apogee Integration LLC is seeking a Data Scientist to support an Intelligence Client. The role ... Splunk, Spring • Experience with CI/CD pipelines • Ability to, or demonstrated experience ...

NLM Data Scientist

Bethesda, MD · On-site

$110 - $150/hr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics * Experience ...

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 ...

... 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 ...

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Using Splunk, including automated processes in the Sponsor's environment. * Using Sponsor ...

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Using Splunk, including automated processes in the Sponsor's environment. * Using Sponsor ...

New

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Using Splunk, including automated processes in the Sponsor's environment. * Using Sponsor ...

New

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Splunk, Spring * Experience with CI/CD pipelines * Ability to, or demonstrated experience ...

The Data Scientist will provide data analysis services, including data graphics and dashboards, to ... Using Splunk, including automated processes in the Sponsor's environment. * Using Sponsor ...

New

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Active TS/SCI with FS Polygraph required Position Seeking a Data Scientist to support an ... Splunk, Spring * Experience with CI/CD pipelines * Ability to, or demonstrated experience ...

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 ...

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 ...

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 ...

Showing results 21-40

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 Sep 4, 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.

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.

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.
More about Splunk Data Scientist jobs
Infographic showing various Splunk Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Amivero

Camp Springs, MD • On-site

$80 - $120/hr

Other

Re-posted 12 days ago


Job description

Description

TheAmiveroTeamAmivero’steam of ITprofessionalsdelivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understandingthe environment and the challenge, and reimagining with our customer how outcomes can be achieved.Our team of technologistsleveragemodern, agile methods to design and developequitable, accessible, and innovative data and software services thatimpacthundreds of millions of people.As a member of theAmiveroteam you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization tovery important, mission-critical, and public service government IT systems.

Special Requirements

  • US Citizenship Required to obtain a Public Trust
  • Bachelor Degree
  • Must be local to the DMV area

The Gist

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives and operational decision making. The individual works closely with business stakeholders, Data Engineers, architects, and application development teams to transform complex data into actionable insights and deploy scalable AI/ML solutions within cloud environments.

What Your Day Might Include
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business and operational objectives.
  • Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions.
  • Develop statistical models, forecasting solutions, classification models, and advanced analytical capabilities using structured and unstructured data.
  • Collaborate with Data Engineers to design scalable data pipelines and support production AI/ML environments.
  • Develop dashboards, reports, visualizations, and analytical products that communicate complex findings to technical and non-technical stakeholders.
  • Perform feature engineering, model tuning, model validation, and performance monitoring activities.
  • Support AI/ML governance, model lifecycle management, and continuous improvement initiatives.
  • Conduct exploratory data analysis and provide recommendations that support program and business objectives.
  • Collaborate with application development and cloud engineering teams to integrate analytics and machine learning capabilities into enterprise applications
  • Support data quality, security, compliance, and governance requirements throughout the analytics lifecycle
Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline.
  • Experience applying statistical analysis, machine learning, predictive modeling, data mining, and advanced analytics techniques to solve complex business and operational challenges.
  • Experience utilizing Python, SQL, NumPy, PyTorch, Scikit-Learn, Spark/Scala, and Databricks to develop machine learning and data science solutions.
  • Experience working with enterprise data platforms including PostgreSQL, Oracle, SQL Server, Aurora, OpenSearch, Redis, and cloud-based data repositories.
  • Experience utilizing AWS cloud services including S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudWatch, and related analytics services.
  • Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk, and other business intelligence platforms.
  • Experience supporting production AI/ML deployments, model monitoring, model optimization, and operational analytics environments.
  • Experience working with large-scale data processing and distributed computing frameworks.
  • Strong written and verbal communication skills with the ability to communicate technical concepts to technical and non-technical audiences.
  • Experience collaborating within Agile, DevSecOps, and cross-functional product delivery teams.

EOE/M/F/VET/DISABLED

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteranin accordance withapplicable federal,stateand local laws.Amiverocomplies withapplicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

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