Senior Data Scientist

Summary

Join Blackpoint Cyber, a leading cybersecurity company, as a Senior Data Scientist. You will play a key technical lead role in the data science function of our A.I. business unit, directly supporting our mission to stop cyberattacks. This role involves building data science solutions for our A.I. products and features, reporting to the Head of Artificial Intelligence. You will be responsible for designing, implementing, and evaluating machine learning models, as well as deploying scalable solutions. Collaboration with cross-functional teams is essential. Blackpoint Cyber offers competitive benefits.

Requirements

• 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)
• Experienced in Data Ingestion & Wrangling (Spark, EMR, SageMaker)
• Experienced in Feature Engineering (Feature Pipelines, Feature Store)
• Experienced in Model Development, Analysis, & Deployment (SageMaker, Airflow)
• Experienced in Inference Streams & Event-driven Processing (Kafka, Spark)
• Experienced in Scripting Language (Python, Bash)
• Experienced in Query Language (SQL, Ksql)
• Experienced in Containerized Services (Docker, Kubernetes)
• Experienced in MLOps Workflows (SageMaker, MLFlow)
• Experienced in GitFlow & DevOps Best Practices

Responsibilities

• 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)

Preferred Qualifications

• Time-Series Analysis
• Transformer Neural Nets
• Agile Scrum
• Programming (Scala, Java)
• Experience in Cybersecurity, IoT, or NLP fields

Benefits

• Competitive Health, Vision, Dental, and Life Insurance plans
• A robust 401k plan
• Discretionary Time Off
• Other minor perks