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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine learning models for anomaly detection and predictive analytics, with strong proficiency in Python and familiarity with frameworks such as PyTorch and TensorFlow. Capable of collaborating with cross-functional teams to translate research findings into scalable product features while effectively communicating complex concepts to diverse stakeholders.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencyData Analysis and StatisticsCollaboration with Data Science TeamsExploratory Data Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Report to the Sr. Director of AI and Applied Research
- Lead AI design, prototyping, and experimentation across Tanium products and solutions
- Collaborate with data science and engineering teams to design and implement AI and ML algorithms
- Develop and evaluate ML models for anomaly detection, threat identification, and performance optimization
- Analyze large-scale endpoint data and develop predictive models
- Contribute to data pipelines that process and analyze endpoint data at scale
- Conduct exploratory data analysis and develop visualizations for technical and non-technical stakeholders
- Document research methodologies, experiments, and results
- Monitor and incorporate advances in AI, ML, LLMs, and endpoint management technologies
- Translate research findings into scalable product features and improvements
Requirements
What you’ll need- Must be a U.S. citizen, national, or resident pursuant to 8 U.S.C. 1101(a)(20) and 8 U.S.C. 1324b(a)(3)
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience
- 1+ years of experience in applied machine learning, data science, or AI research, or equivalent demonstrated expertise
- Experience developing and deploying ML models for classification, regression, or anomaly detection
- Experience working with large-scale datasets and tools and techniques to process and analyze them efficiently
- Strong foundation in machine learning, data analysis, and statistics
- Proficiency in Python
- Familiarity with PyTorch, scikit-learn, TensorFlow, NumPy, SciPy, and pandas
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent written and verbal communication skills, including presenting complex technical concepts clearly
- Experience in statistical modeling, anomaly detection, LLM internals, or agentic AI systems preferred
- Passion for technology, cybersecurity, and autonomous systems preferred
Benefits
Comp & perks- Equity awards
- Medical, dental, and vision plan
- Family planning benefits
- Health savings account
- Flexible spending account
- Transportation savings account
- 401(k) retirement savings plan with company match
- Life, accident, and disability coverage
- Business travel accident insurance
- Employee assistance programs
- Disability insurance
- Other well-being benefits
- 5 days of volunteer time off (VTO)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ScienceStatistical ModelingAnomaly DetectionPredictive ModelingData AnalysisClassificationRegressionLarge-Scale Dataset ProcessingResearch Methodologies
Soft Skills
Problem-SolvingIndependent WorkCollaborationCommunication
Tools & Technologies
PythonPyTorchScikit-learnTensorFlowNumPySciPyPandas
Industry Keywords
AI ResearchApplied Machine LearningCybersecurityEndpoint ManagementAutonomous Systems