Senior Data Scientist

Blackpoint Cyber-posted 3 months ago
Full-time • Senior
101-250 employees
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Blackpoint Cyber is a provider of leading-edge cybersecurity threat hunting, detection, and response technology. Blackpoint was founded by former National Security Agency (NSA) cyber operations experts that applied their expertise to bring nation/state grade technologies to commercial customers around the world. We are looking for an experienced Data Scientist who will operate in a technical lead role for the data science function of our A.I. business unit. Candidates will directly support Blackpoint’s cyber security mission, helping to stop cyber-attacks, and protecting Blackpoint’s rapidly growing customer base.

  • Define, implement, train, and evaluate ML models.
  • Design and implement algorithms to ingest, wrangle, and transform model input data.
  • Conduct feature engineering to extract, construct, derive, and evaluate model inputs.
  • Perform statistical analyses per stakeholder requirements and modeling objectives.
  • Deploy models and feature engineering algorithms as scalable containerized solutions.
  • Develop model governance utilities and dashboards to monitor, report, and visualize performance of deployed solutions.
  • Implement data, feature, and model lifecycle best practices.
  • Contribute to A.I. architecture and design decisions.
  • Collaborate closely with cross-functional teams, including Engineering, Blackpoint Cyber’s Security Operations Center (SOC), and our Adversary Pursuit Group (APG)
  • 5+ years of experience in hands-on Data Science, with a track record of delivering A.I. products and services into production.
  • Experience building in the well-architected mindset—for efficiency, performance, security, and reliability.
  • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.
  • Experienced in Cloud-based ML development (AWS)
  • Data Ingestion & Wrangling (Spark, EMR, SageMaker)
  • Feature Engineering (Feature Pipelines, Feature Store)
  • Model Development, Analysis, & Deployment (SageMaker, Airflow)
  • Inference Streams & Event-driven Processing (Kafka, Spark)
  • Scripting Language (Python, Bash)
  • Query Language (SQL, Ksql)
  • Containerized Services (Docker, Kubernetes)
  • MLOps Workflows (SageMaker, MLFlow)
  • GitFlow & DevOps Best Practices
  • Time-Series Analysis
  • Transformer Neural Nets
  • Agile Scrum
  • Programming (Scala, Java)
  • Experience in Cybersecurity, IoT, or NLP fields
  • Competitive Health, Vision, Dental, and Life Insurance plans
  • Robust 401k plan
  • Discretionary Time Off
  • Other minor perks
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