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Data Scientist, Software Engineer
Binary DefenseData Scientist / Software Engineer developing data-driven solutions for cybersecurity at Binary Defense. Bridging data science and software engineering to enhance MDR operations and deployments.
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityD3.jsDockerGoGoogle Cloud PlatformGRPCHadoopJavaJavaScriptKubernetes.NETNoSQLPythonPyTorchRustScikit-LearnSparkTableauTensorflowTerraformTypeScript
About the role
Key responsibilities & impact- Design, build, and ship production-grade data and ML systems
- Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets
- Develop, test, and maintain backend services, APIs, and data pipelines
- Collaborate closely with software engineering, product, detection engineering, and security engineering teams
- Own code quality across the stack
- Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps)
- Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients
- Develop data-driven solutions that ship
Requirements
What you’ll need- Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience
- At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications
- Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML
- Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores
- Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar)
- At least 3 years of experience writing production software, with code shipped to real users in a team setting
- Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript)
- Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale
- Experience designing and building REST or gRPC APIs and the services behind them
- Strong with relational and NoSQL database design, query optimization, and schema evolution
- Proficient with Git, modern code review workflows, and writing unit and integration tests
- Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts
- Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent)
- Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services
- Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use
- Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution (preferred)
- Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML (preferred)
- Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management (preferred)
- Experience operating in an Agile or continuous-delivery environment (preferred)
- Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly (preferred)
- Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response (preferred)
- Background or prior role in threat intelligence, security research, security engineering, or SOC analysis (preferred)
- Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines (preferred)
Benefits
Comp & perks- Competitive medical, dental and vision coverage for employees and dependents
- 401k match which vests every payroll
- Flexible and remote friendly work environment
- Training opportunities to expand your skill set
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata sciencestatistical modelingPythonTensorFlowPyTorchscikit-learnbig data technologiesREST APIsNoSQL databases
Soft Skills
communicationproblem-solvingcollaborationcode qualitycreativityintellectual honestyadaptabilitywork ethicanalytical thinkingteamwork
Certifications
Master's in Computer SciencePhD in Machine LearningPhD in Data SciencePhD in Statistics