Data Science & Machine Learning Engineer (Remote - US)

This position is posted by Jobgether on behalf of Valiant Solutions, LLC. We are currently looking for a Data Science & Machine Learning Engineer in United States.

This role offers the opportunity to join a cybersecurity team managing a large-scale big data platform to detect threats and protect critical government systems. The Data Science & Machine Learning Engineer will work with petabyte-scale data lakes in Elasticsearch-based environments, developing machine learning models, analyzing security data, and creating visualizations to detect anomalies. You will collaborate with security analysts and engineers, translating complex data into actionable insights. This remote position allows hands-on coding, data preparation, and visualization, supporting a proactive approach to cybersecurity. The ideal candidate is analytical, detail-oriented, and motivated to develop innovative solutions that strengthen security posture.

Accountabilities

The Data Science & Machine Learning Engineer will lead efforts to analyze and secure large-scale security data. Key responsibilities include:

• Leading analysis of petabyte-scale clusters of security data.
• Preparing data streams for machine learning, including parsing logic and indexing.
• Developing custom machine learning models using AWS SageMaker or equivalent open-source tools, and ML rules with commercial products.
• Creating data visualizations using tools such as Power BI, Tableau, or Kibana, including advanced visualization features.
• Collaborating with cybersecurity analysts and developers to solve threat monitoring challenges and improve security posture.
• Developing and configuring anomaly detection and alerting logic.
• Advising agency leadership on machine learning programs and strategy.
• Participating in a rotating on-call schedule.

Requirements

The ideal candidate will have strong experience in data science, machine learning, and cybersecurity, including:

• 5+ years of experience in data science.
• 2+ years of Python development experience.
• Bachelor’s degree in Computer Science, Information Technology, Network Engineering, Security Engineering, System Administration, or equivalent experience.
• Experience with business intelligence tools such as Power BI or Tableau.
• Experience with SIEM tools such as Elastic Stack or Splunk preferred.
• Experience preparing datasets for machine learning and generating ML models.
• Strong mathematics skills, including statistics and algebra.
• Familiarity with big data technologies such as Hadoop, Kafka, or Spark.
• Advanced exploratory data analysis capabilities.
• Knowledge of security concepts and best practices preferred.
• Excellent technical writing and communication skills.
• Ability to communicate complex data simply and visually.
• Strong analytical and problem-solving skills.
• Attention to detail, adaptability, and ability to meet deadlines.
• Team-oriented, trustworthy, and proactive with high ethical standards.

Benefits

• Competitive Compensation: Salary range $140,000–$155,000, commensurate with experience and qualifications.
• Comprehensive Health Coverage: 99% coverage for employee medical, dental, and vision; 25% coverage for family/dependents.
• Paid Time Off: Vacation, federal holidays, and 40 hours of innovation time.

· Wellness & Fitness Programs.

• Professional Development: 100% paid certifications and access to online training portal.
• Retirement: 401(k) with up to 4% company match.
• Transit & Parking: Reimbursement programs and flexible spending accounts.

· Employee Referral Bonuses.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, such as interviews or additional assessments, are then made by their internal hiring team.

Thank you for your interest!