SecurityScorecard is hiring a Senior Data Scientist (remote, Canada) to develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. The role requires 5+ years of applied data science experience, proficiency in Python and ML frameworks (e.g., scikit-learn, XGBoost, MLflow, PyTorch), and experience with cloud-based data pipelines (AWS/GCP).

SecurityScorecard seeks a Senior Data Scientist (5+ years) to develop, evaluate, and deploy machine learning models (Python, scikit-learn, XGBoost, PyTorch, MLFlow) for risk scoring, threat intelligence, and vendor risk assessment. Role involves exploratory data analysis, model validation, collaboration with product and engineering teams, and integration into cloud-based data pipelines (AWS/GCP). Prior cybersecurity experience and familiarity with LLMs/Scala are a plus. No immigration sponsorship provided.

Join STRIKE as an engineering counterpart to threat researchers to own the pipeline from findings to production artifacts (detection rules, feeds, APIs). Requires 5+ years engineering experience with threat intelligence, production systems that consume/emit threat intel, strong Python and TypeScript/Node skills, working knowledge of STIX/TAXII/MISP/MITRE ATT&CK, hands-on YARA and Sigma experience, and experience shipping systems using language models. Remote role tied to Pittsburgh, PA; company states it does not provide immigration sponsorship for this position.

Join STRIKE to own the research-to-production pipeline: build and maintain platform components (distribution servers, sandbox orchestration, ingestion, agent runtimes), produce detection content (YARA, Sigma, STIX), drive STIX/TAXII adoption, and ship model-driven and traditional workflows. Requires 5+ years of engineering experience with threat intelligence or detection engineering, production-level Python and TypeScript, cloud and CI/CD experience, and hands-on experience with threat intel standards and detection tooling.

Join STRIKE as the engineering counterpart to threat research, owning delivery from research outputs (malware findings, indicators, behavioral patterns) to production artifacts (detection rules, feeds, APIs). The role requires production experience with threat intel data, detection tooling (YARA, Sigma, STIX), cloud and CI/CD infrastructure, and shipping systems that use language models with retrieval, schema validation, and eval harnesses.

Join SecurityScorecard's STRIKE team to own the research-to-production path: implement detection rules, distributed feeds, pipeline hooks, and platform integrations. Requires 5+ years engineering experience with threat intelligence or detection engineering, production experience with Python and TypeScript/Node, familiarity with STIX/TAXII/MISP/MITRE ATT&CK, applied language-model systems experience, and cloud/container/CI-CD knowledge. Remote (Washington, DC). No immigration sponsorship provided. Estimated total compensation range $140,000–$180,000.

SecurityScorecard seeks a Senior Data Engineer (remote, Argentina) to own end-to-end projects building scalable, reliable big-data pipelines and back-end systems. Requires 5+ years in data engineering, proficiency with Spark and strongly-typed languages (Java/Scala), experience with technologies such as Airflow, Kafka, ScyllaDB, ClickHouse, PostgreSQL and AWS. Compensation range (estimated total) $75,000–$92,000 per year. No immigration sponsorship provided for this position.

SecurityScorecard is hiring a Senior Data Engineer to own end-to-end data engineering projects: define requirements with product, design and implement scalable pipelines, ensure performance and stability, write tests and documentation, participate in code reviews, and mentor junior engineers. Required: 5+ years in data engineering, Spark, strongly-typed languages (Java/Scala preferred), REST API experience, Git. Role is remote for LATAM; employer does not provide immigration sponsorship.

Remote Senior Data Engineer at SecurityScorecard (Brazil). Own end-to-end data engineering projects, build and maintain big-data pipelines, collaborate with product and global teams, and mentor junior engineers. Requires 5+ years in data engineering, proficiency with Spark, experience with Scala/Java, RESTful APIs, testing, and familiarity with a stack including Scala, Spark, Airflow, ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Docker, Jenkins, Terraform, and AWS. No immigration sponsorship provided.