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Data Scientist; SIEM​/Elastic; at Acclaim Technical Services Annapolis Junction, MD

Job in Silver Spring, Montgomery County, Maryland, 20900, USA
Listing for: Itlearn360
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Cybersecurity, Data Engineer, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 230500 - 250250 USD Yearly USD 230500.00 250250.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (SIEM / Elastic) (2025-0033) at Acclaim Technical Services Annapolis Junction, MD

Overview

Data Scientist (SIEM / Elastic) ) job at Acclaim Technical Services. Annapolis Junction, MD. Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.

ATS is actively hiring a Data Scientist with TS/SCI w/ Polygraph support in our Engineering Services and Solutions Division in Annapolis Junction, MD.

Responsibilities
  • Data Science & Engineering:
    Lead and execute the development of advanced machine learning models, statistical analyses, and predictive algorithms to identify security threats and anomalies within large, complex datasets.
  • SIEM Expertise:
    Design, implement, and optimize SIEM solutions, particularly in Splunk and Elastic Search environments, to capture, analyze, and report on security event data.
  • Cyber Security

    Collaboration:

    Work closely with the security operations team to integrate data-driven insights into security incident response, threat hunting, and overall security strategy.
  • Data Integration & Management:
    Manage the integration of diverse data sources into the SIEM systems, ensuring the data is processed and indexed efficiently for analysis.
  • Incident Detection & Response:
    Develop advanced algorithms for threat detection, alerting, and anomaly detection, focusing on the identification of potential security breaches.
  • Mentorship:
    Provide guidance and mentorship to junior data scientists and engineers in the team, fostering a collaborative, innovative work environment.
  • Continuous Improvement:
    Stay current with emerging trends and technologies in data science, cyber security, and SIEM systems to drive improvements in security analytics.
  • Create and maintain data models and machine learning algorithms to identify anomalies and potential threats.
  • Design and implement automation workflows for incident response and threat intelligence.
  • Provide mentorship and guidance to junior team members.
Qualifications
  • Experience:

    10+ years of experience in data science, with at least 3 years focused on SIEM engineering, specifically with Splunk and/or Elastic Search.
  • Cyber Security Focus:
    Strong understanding of cyber security principles, including threat detection, incident response, and security operations.
  • Technical Expertise:
    Proficiency in Python, SQL, and relevant data science libraries (e.g., pandas, scikit-learn, Tensor Flow) and experience working with SIEM tools like Splunk and Elastic Search.
  • Advanced Analytics & ML:
    Proven experience in applying machine learning techniques (anomaly detection, clustering, classification) to large-scale security data.
  • Data Engineering:
    Experience in data ingestion, transformation, and optimization within SIEM systems, and familiarity with ETL processes.
  • Problem-Solving:
    Excellent analytical and troubleshooting skills, with the ability to develop and deploy data models that address complex security challenges.
  • Collaboration & Communication:
    Strong communication skills with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.
Education

Strongly prefer Bachelor's and Master’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.

Salary and Benefits

Pay Range:
There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities.

Our broad mix of exceptional benefits options is designed to support and protect employees and their families.

At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources. The proposed salary range for this position is $230,500 to $250,250.

Equal Employment Opportunity

ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, gender identity, age, religion/creed,…

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