Head of Data Science

Summary

Join Teramind, a global leader in Insider Risk Management and User Behavior Analytics, as the Head of Data Science. Lead and manage a high-performing data science team, driving innovation in product offerings and enhancing analytics capabilities. You will define and execute the data science strategy, oversee machine learning model implementation, and establish methodologies for baselining normal user behavior and developing risk scoring mechanisms. This remote position requires 8+ years of experience in data science, strong expertise in machine learning, and a Master's or Ph.D. in a related field. Teramind offers a competitive salary, performance bonuses, career growth opportunities, flexible time off, ongoing training, and a collaborative, remote work environment.

Requirements

• 8+ years of experience in data science, machine learning, or a related field, with at least 3 years in a leadership role
• Strong expertise in machine learning algorithms and statistical modeling techniques
• Hands-on experience with data science tools and frameworks, including Python, familiarity with ML frameworks
• Expertise in anomaly detection, time series analysis, and behavioral modeling
• Proven track record in deploying data-driven solutions that have contributed to business growth
• Excellent communication skills for effectively presenting complex technical concepts to non-technical stakeholders
• Strong analytical and problem-solving skills, complemented by a strategic mindset
• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field

Responsibilities

• Lead and manage a high-performing data science team in developing behavioral analytics models, fostering a culture of innovation and continuous improvement
• Define and execute the data science strategy in alignment with business objectives, ensuring robust analytical methodologies
• Oversee the design and implementation of machine learning models and frameworks to solve pertinent business challenges
• Establish methodologies for baselining normal user behavior
• Develop risk scoring mechanisms for potential security threats
• Collaborate with security experts to translate threat patterns into detection models
• Monitor and assess industry trends and advancements in data science and machine learning, leveraging new technologies and methodologies
• Guide the team in conducting exploratory data analysis, performance tuning of algorithms, and ensuring the accuracy of predictions
• Establish key performance indicators and metrics to evaluate the effectiveness of data science initiatives

Preferred Qualifications

Experience applying machine learning to security challenges

Benefits

• Competitive salary with a focus on a global market
• Bonus for performance
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Ongoing training and development opportunities
• This is a remote job. Work from anywhere!