Senior Data Scientist

This position is posted by Jobgether on behalf of SecurityScorecard. We are currently looking for a Senior Data Scientist in Austin. As a Senior Data Scientist, you will drive innovation in cybersecurity by developing advanced machine learning models that power a global risk rating platform. You’ll work with complex datasets to uncover threats, assess risk, and deliver intelligence that protects businesses worldwide. Collaborating closely with engineers and product teams, your insights will directly shape data-driven decisions and enhance platform accuracy. This role is ideal for a data scientist passionate about using AI to solve high-impact real-world problems in a rapidly growing tech environment. Accountabilities: Design, build, and deploy machine learning models for cybersecurity risk scoring and threat intelligence. Analyze large, complex datasets to detect patterns, anomalies, and meaningful insights. Collaborate with engineering and product teams to integrate models into production environments. Lead data science initiatives, contribute to code reviews, and define best practices. Validate models for robustness, scalability, and real-world applicability. Translate complex technical findings into actionable business recommendations for both technical and non-technical stakeholders. Stay current with emerging data science methods and apply them to evolving cybersecurity challenges. Requirements Minimum 5 years of hands-on experience applying data science and machine learning to real-world challenges. Advanced degree in Computer Science, Mathematics, Statistics, or related quantitative field — or equivalent experience. Proficiency in Python and machine learning frameworks such as scikit-learn, XGBoost, MLFlow, or PyTorch. Experience with cloud data platforms such as AWS, GCP, or similar. Solid knowledge of ML algorithms, performance metrics, and model deployment workflows. Strong communication skills with the ability to present technical content clearly. Experience or interest in cybersecurity, risk scoring, or threat intelligence is a significant plus. Familiarity with LLMs and/or Scala is a plus. Benefits Competitive salary and performance-based incentives. Stock options and equity participation. Unlimited paid time off and generous parental leave policies. Comprehensive health, vision, and dental insurance. Tuition reimbursement and learning opportunities. Flexible remote or hybrid work environment. An inclusive workplace culture recognized by Fast Company, Inc. Magazine, and others. 💵 Estimated total compensation: $158,000 – $183,000 (base + bonus), subject to experience, skills, and role fit. Our Hiring Process Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and bias-free, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the hiring company. The final decision and next steps (e.g., interviews or technical assessments) are then handled by their internal team. Thank you for your interest! #LI-CL1