About ThreatMark

ThreatMark is a cutting-edge cybersecurity company dedicated to safeguarding digital experiences. We specialize in providing innovative solutions to combat online fraud and protect businesses and consumers from cyber threats. At ThreatMark, we value creativity, collaboration, and a passion for excellence in everything we do.

The Mission

As a Research Lead at ThreatMark, your mission is to lead a top-tier team of Data Scientists, Analysts, Engineers, and Researchers to deliver impactful solutions. You will align research with product goals, translate business challenges into technical tasks, and drive projects from idea to production, helping shape our innovation roadmap and strengthen fraud prevention through data science and ML.

You will collaborate closely with Product Management, Software Engineering, QA, and Platform teams, ensuring the seamless integration of research outputs into the product.

General

• Seniority: 10+ years of experience in applied ML, with at least 2 years in a leadership role

• Employment Type: Employee or Contractor

• Schedule: Full-time

• Work Arrangement: Full remote possible, with availability for in-person gatherings, collaboration sessions as well as team-buildings

Responsibilities

You will:

• Lead and grow the research team with a focus on ownership and high-impact outcomes

• Translate business problems and product needs into research initiatives and measurable outcomes

• Prioritize and manage the research roadmap, ensuring timely delivery of solutions with well-defined KPIs

• Drive a culture of rigor in experimentation, measurement, and statistical evaluation

• Support deep collaboration between research and engineering teams to ensure smooth deployment of models

• Promote communication and transparency with stakeholders across Product, Engineering, Executive and other company teams

• Represent research progress, findings, and insights in leadership meetings and strategic reviews

• Stay ahead of the curve on advancements in ML, and cybersecurity threats, and bring innovation to ThreatMark’s core IP

Must Have:

• Proven experience leading ML teams through the full model lifecycle – from research and prototyping to deployment and monitoring

• Deep expertise in applied data science, ideally in cybersecurity, fraud detection, or a similar high-stakes domain

• Strong understanding of model evaluation metrics, experiment design, and statistical analysis

• Excellent project and people management skills, including planning, prioritization, and team development

• Advanced proficiency in Python and ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)

• Strong written and spoken communication skills in English

Nice to Have:

• Hands-on experience with data engineering, big data infrastructure, or MLOps

• Experience in a startup or high-growth tech company

• Familiarity with ThreatMark’s technology stack (e.g., Python, Kafka, Kubernetes, cloud platforms)

• Previous work in cybersecurity, fraud detection, or finance-related ML applications

What We Value

• Ownership: A strong ability to take ownership and move towards shared goals without supervision.

• Collaboration: A positive, can-do attitude with a no-excuse, startup mindset, clear honest and timely communication.

• Innovation: A fervent passion to learn new skills and technologies, seeking improvement, being open to new ideas, and making data-driven decisions.

• Adaptability: Thriving in a fast-paced and evolving environment, being flexible and ready to take on new challenges.

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