Head of Data Science

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About TeramindTeramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. With our comprehensive suite of solutions, organizations gain unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance.Trusted by Fortune 500 companies and businesses of all sizes across industries, our innovative platform helps organizations protect sensitive data, maximize workforce performance, and create safer, more efficient digital workplaces. Through real-time monitoring and advanced analytics, we enable businesses to safeguard their most sensitive information while optimizing employee productivity in both in-office and remote work environments.

Our Core ValuesAt Teramind, our values drive everything we do. We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We foster resourcefulness by empowering our team members with the autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other.

About the role

As the Head of Data Science at Teramind, you will lead our data science initiatives to drive innovations in our product offerings and enhance our analytics capabilities. You will be responsible for setting the strategic direction for the data science team, including developing advanced analytical frameworks and machine learning models to uncover insights that inform key business decisions.

Your leadership will guide a team of talented data scientists and analysts as they tackle complex challenges in insider risk and behavioral analytics.

Youll drive the analytical approach for identifying unusual user behaviors and potential security threats.

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.

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
• Experience applying machine learning to security challenges preferred
• 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.
• Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.

Benefits

This is a remote job. Work from anywhere!

Were a global, distributed team looking for the finest talent. Weve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

At Teramind, were a collaborative, forward-thinking team where new ideas come to life, experience is valued and talent is incubated.

• 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

About our recruitment process

We dont expect a perfect fit for every requirement weve outlined. If you can see yourself contributing to the team, we want to hear your story.

You can expect up to 3 interviews. In some scenarios, were able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.

All roles require reference and background checks Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the Head of Data Science job info - Teramind Desde casa above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies Head of Data Science job info - Teramind Desde casa in 2025-04-29 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via form this bottom.