Blackpoint Cyber

Data Scientist (Head of AI)

Job description

Why Blackpoint?

Ready to give some hackers hell? On the Blackpoint Cyber Team, we win the unfair fight while helping others protect what’s most important to them. Simply put, our team takes out the adversaries before they see us coming. Join us today and help put the bad guys in their place for good. Blackpoint Cyber was built by former US Department of Defense and Intelligence security experts focused on stopping malicious tradecraft and safeguarding MSP operations. Our mission? Provide absolute and unified Managed Detection and Response services to organizations across the world.


Company Culture

On this team, we value high-quality execution, ownership, and strong morals. With us, principles are never tested, and we are proud to always do right by our customers. If you’re a driven professional with a passion for learning and contributing towards the best, then Blackpoint welcomes you. Our team is energetic and collaborative, maintaining a high-performance culture and enabling growth through overcoming challenges in the modern cyber threat landscape.


Summary:

We are seeking a talented and experienced Head of Data Science to lead and drive our data-driven initiatives. You will be responsible for overseeing our data science, machine learning, and artificial intelligence (AI) projects, as well as managing a team of skilled professionals. You will play a critical role in shaping our data strategy, driving innovation, and leveraging advanced analytics to solve complex business problems. The ideal candidate will possess a strong background in data science, machine learning, and AI, along with exceptional leadership and strategic thinking abilities.


What You'll Do:

  • Lead the data science, machine learning, and AI initiatives, providing strategic direction and technical guidance to the team.
  • Develop and execute a comprehensive data strategy, aligning it with the overall business objectives.
  • Drive innovation by identifying new opportunities for leveraging data science, machine learning, and AI technologies to enhance business operations and drive growth.
  • Collaborate with cross-functional teams to define and prioritize data-driven projects, ensuring their successful implementation and delivery.
  • Manage and mentor a team of data scientists and machine learning engineers, fostering a culture of learning, collaboration, and innovation.
  • Stay updated with the latest trends and advancements in data science, machine learning, and AI, and assess their potential impact on our business.
  • Establish and maintain strong relationships with stakeholders, providing regular updates on project progress, insights, and recommendations.
  • Ensure compliance with relevant data privacy and security regulations and standards.


What You'll Bring:

  • A minimum of 3 years of experience in data science, machine learning, or AI, with a focus on leading and managing teams.
  • In-depth knowledge of data science methodologies, machine learning algorithms, and AI techniques, along with hands-on experience in their application.
  • Strong understanding of statistical analysis, data mining, and predictive modeling techniques.
  • Proficiency in programming languages such as Python, R, or Java, and experience working with data science frameworks and libraries.
  • Proven track record of successfully delivering data-driven projects and driving business impact.
  • Excellent leadership and team management skills, with the ability to inspire and motivate a high-performing team.
  • Strong strategic thinking and problem-solving abilities, with a focus on leveraging data for actionable insights and decision-making.
  • Effective communication skills, both verbal and written, with the ability to translate complex technical concepts into business terms.

Preferred Qualifications:

  • Advanced degree (Ph.D., M.Sc., or equivalent) in a relevant field such as data science, computer science, or statistics.
  • That should say Experience working in industries such as cybersecurity, where data science, machine learning, and AI play a significant role.
  • Knowledge of big data technologies and cloud computing platforms for scalable data processing and analytics.

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