Senior Data Scientist (Artificial Intelligence)

Blackpoint Cyber is a pioneering provider of cybersecurity threat hunting, detection, and response technology. The company was established by former National Security Agency (NSA) cyber operations specialists who leveraged their expertise to create technologies of a nation/state grade for commercial clients around the globe. Job Role: We are seeking a seasoned Sr. Data Scientist to take on a technical leadership role in our A.I. business unit. The successful candidate will directly support Blackpoint's cybersecurity mission, aid in thwarting cyber-attacks, and provide protection for Blackpoint's rapidly expanding customer base. Overview: As a Sr. Data Scientist, your main responsibility will be to develop Blackpoint Cyber's data science solutions in order to advance our A.I. products and features. You will report directly to the Head of Artificial Intelligence. Ideal Candidate: Blackpoint Cyber is looking for someone who has: - A minimum of 5 years' hands-on Data Science experience with a proven track record of successfully implementing A.I. products and services. - Professional experience with the well-structured mindset, prioritizing efficiency, performance, security, and reliability. - Robust analytical and problem-solving skills geared towards data-driven decision making. - Exceptional communication and interpersonal skills with the ability to influence and collaborate with stakeholders on all levels. Required Skills: - Cloud-based ML development (AWS) - Data Ingestion & Wrangling (S3, EC2, SageMaker) - Feature Engineering (Feature Pipelines, Feature Store) - Model Development, Analysis, & Deployment (SageMaker) - Inference Streams & Event-driven Processing (Kafka, Kinesis) - Scripting Language (Python, Bash) - Query Language (SQL, KsqlDB) - Containerized Services (Docker, Kubernetes) - MLOps Workflows (Sagemaker, MLFlow) - GitFlow & DevOps Best Practices Desirable Skills: - Time-Series Analysis - Transformer Neural Nets - Kubeflow - DVC (data versioning) - Agile Scrum - Programming (Java, Scala) - Experience in Cybersecurity, IoT, or NLP fields Your responsibilities: - Defining, implementing, training, and evaluating ML models. - Designing and implementing algorithms to ingest, wrangle, and transform model input data. - Conducting feature engineering to extract, construct, derive, and evaluate model inputs. - Performing statistical analyses according to stakeholder requirements and modeling objectives. - Implementing data, feature, and model lifecycle best practices. - Contributing to A.I. architecture and design decisions.  - Collaborating closely with cross-functional teams, including Engineering, Blackpoint Cyber's Security Operations Center (SOC), and our Adversary Pursuit Group (APG). Interested? Please apply with your resume and cover letter. For more information about Blackpoint Cyber, visit our website at www.blackpointcyber.com. Blackpoint Cyber is an equal opportunity employer and welcomes applications from qualified individuals of all races, colors, religions, sexes, sexual orientations, gender identities or expressions, national origins, ages, marital statuses, and other legally protected statuses. We appreciate your interest, but only candidates selected for an interview will be contacted. COVID-19 Response: Blackpoint Cyber maintains a proactive approach to COVID-19, with all staff working remotely. Necessary hygiene protocols are in place throughout the building and office for essential visits. Our systems and processes ensure no productivity limitations when working from home. We are continually communicating globally during these challenging times, as Blackpoint Cyber looks to envision new ways of collaborative work while maintaining meaningful interactions with those we serve and defend. All qualified individuals are encouraged to apply. Only candidates selected for an interview will be contacted.