Senior Data Scientist

Blackpoint Cyber is the leading provider of worldclass cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national securitygrade technology solutions to commercial customers around the world, Blackpoint Cyber is in hypergrowth mode, fueled by a recent $190m series C round.

What You’ll Do

Blackpoint Cyber is a provider of leadingedge 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 nationstate 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 cyberattacks, and protecting Blackpoint’s rapidly growing customer base.

Summary:

As a Sr. Data Scientist, you will be responsible for building out Blackpoint Cyber’s data science solutions to support development of our A.I. products and features. You will report directly to the Head of Artificial Intelligence.

Who You Are:

Blackpoint Cyber is looking for someone who has:

• 5+ years of experience in handson Data Science, with a track record of delivering A.I. products and services into production.

• Experience building in the wellarchitected mindset—for efficiency, performance, security, and reliability.

• Strong analytical and problemsolving abilities, with a focus on datadriven decisionmaking.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.

What You’ll Bring:

Experienced in:

• Cloudbased ML development (AWS)

• Data IngesHon & Wrangling (Spark, EMR, SageMaker)

• Feature Engineering (Feature Pipelines, Feature Store)

• Model Development, Analysis, & Deployment (SageMaker, Airflow)

• Inference Streams & Eventdriven Processing (Ka[a, Spark)

• Scripting Language (Python, Bash)

• Query Language (SQL, Ksql)

• Containerized Services (Docker, Kubernetes)

• MLOps Workflows (SageMaker, MLFlow)

• GitFlow & DevOps Best Practices

Nice to Have:

• TimeSeries Analysis

• Transformer Neural Nets

• Agile Scrum

• Programming (Scala, Java)

• Experience in Cybersecurity, IoT, or NLP fields

How You’ll Make an Impact:

• 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 crossfunctional teams, including Engineering, Blackpoint Cyber’s

Security Operations Center (SOC), and our Adversary Pursuit Group (APG)

Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment. For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks.