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Head of Data Science

Teramind is a hybrid, global workforce building the next-generation Insider Risk Management and User Behavior Analytics platform.

Join our team of innovators who are redefining insider risk management through cutting-edge technology. More than 10,000 organizations across the globe have used Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.

As a global team, Teramind embraces an inclusive and flexible work environment and team culture. We win together, learn from each other, and respect each other while delivering best-in-class security solutions.

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.

You'll 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.
  • 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.
  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.

This is a remote job. Work from anywhere!

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

At Teramind, we're 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 don’t expect a perfect fit for every requirement we’ve 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, we’re 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.

Average salary estimate

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What You Should Know About Head of Data Science, Teramind

At Teramind, we are on a mission to redefine insider risk management, and we need innovative leaders like you! As the Head of Data Science, you'll step into a pivotal role driving our data science initiatives to enhance our cutting-edge analytics capabilities. Imagine leading a talented team of data scientists as you develop advanced analytical frameworks and machine learning models. Your strategic direction will not only influence product offerings but also help us uncover critical insights that guide important business decisions. With over 10,000 organizations already relying on our platform, your work will play a key role in mitigating insider threats and protecting sensitive company data. Here, you will cultivate a culture of innovation and continuous improvement while collaborating closely with security experts to design detection models for unusual user behaviors and potential security threats. At Teramind, we believe in fostering a flexible and inclusive work environment that values every contribution of our global team. If you have over 8 years of experience in data science or machine learning, with strong leadership skills and a knack for statistical modeling, we’d love for you to join us. This remote position offers you the freedom to work from anywhere while being part of a community where your ideas are valued and development opportunities abound. Join us in shaping the future of user behavior analytics and making a measurable impact in the world of cybersecurity!

Frequently Asked Questions (FAQs) for Head of Data Science Role at Teramind
What are the responsibilities of the Head of Data Science at Teramind?

The Head of Data Science at Teramind is responsible for leading a high-performing data science team focused on developing behavioral analytics models, setting strategic direction, and driving innovations in product offerings. The role includes overseeing the implementation of machine learning frameworks, establishing methodologies for detecting unusual user behaviors, and ensuring alignment with the organization's business objectives.

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What qualifications are needed for the Head of Data Science position at Teramind?

To qualify for the Head of Data Science role at Teramind, candidates should have over 8 years of experience in data science or machine learning, including at least 3 years in a leadership capacity. A Master’s or Ph.D. in Data Science, Computer Science, or a related quantitative field is highly preferred, along with strong expertise in machine learning algorithms, statistical modeling, and practical experience with data science tools.

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How does Teramind ensure a collaborative environment for its remote Head of Data Science?

Teramind has cultivated a culture that thrives on collaboration, even in a remote setting. As the Head of Data Science, you'll be part of a global, distributed team that values diverse perspectives and experiences. The company promotes open communication, ongoing training, and development opportunities, allowing you to connect with your team and share innovative ideas seamlessly.

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What does success look like for the Head of Data Science at Teramind?

Success for the Head of Data Science at Teramind means leading the development of impactful analytical models that enhance insider risk management. It involves crafting a vision for data science initiatives that align with business goals, as well as establishing key performance indicators to measure outcomes and effectiveness. Your leadership will drive the team to excel in implementing insightful, data-driven solutions.

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What career growth opportunities does Teramind offer for the Head of Data Science?

At Teramind, career growth opportunities are abundant for the Head of Data Science. The company values continuous learning and professional development, providing access to ongoing training and mentorship. As a leader in a dynamic field, you can participate in projects that push innovation and gain valuable experience, positioning yourself for advanced roles within the organization.

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Common Interview Questions for Head of Data Science
Can you explain your experience with machine learning algorithms?

When answering this question, focus on specific machine learning algorithms you've worked with, how you've applied them in your previous roles, and the outcomes they achieved. Relate your experience directly to the work you'll do as the Head of Data Science at Teramind by discussing projects that involved predictive modeling, anomaly detection, or behavioral analytics.

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How do you approach leading a team of data scientists?

In response, highlight your leadership philosophy, emphasizing collaboration, innovation, and mentorship. Share examples of how you have fostered a positive work culture, encouraged professional growth, and empowered your team to take ownership of their work, which is crucial for driving success at Teramind.

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What data science tools and frameworks are you proficient in?

Be prepared to discuss specific tools like Python, R, or TensorFlow that you've used in your projects. Explain how these tools have contributed to successful outcomes in your previous roles, and how you envision utilizing them at Teramind to tackle complex challenges in insider risk management.

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Describe a time you successfully solved a complex analytical problem.

Use the STAR method (Situation, Task, Action, Result) to illustrate a specific problem you encountered, the steps you took to resolve it, and the positive impact it had on your project or team. Ensure that your answer reflects your analytical and problem-solving skills relevant to the role at Teramind.

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How do you keep up with data science trends and advancements?

Share your keenness for continuous education by mentioning resources you follow—like industry publications, webinars, online courses, or conference participation. Emphasizing your proactive approach in staying informed about emerging technologies will show your dedication to innovation in the role of Head of Data Science.

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What experience do you have with anomaly detection?

Discuss specific projects or instances where you've implemented anomaly detection algorithms. Detail how these experiences are applicable to the role at Teramind, particularly in terms of identifying security threats and safeguarding sensitive data.

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How do you define success for data science projects?

Describe your approach to establishing key performance indicators (KPIs) and metrics that evaluate the effectiveness of your team's projects. Illustrate how aligning these metrics with business objectives ensures the value of data science initiatives at Teramind.

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What strategies do you use to communicate complex data findings to non-technical stakeholders?

Explain your methods for translating complex analyses into digestible insights that stakeholders can understand. Mention techniques such as storytelling, utilizing visualizations, and summarizing key points, which are crucial for effective communication in your role with Teramind.

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Can you share an example of a machine learning model you have deployed?

Discuss a specific project that involved deploying a machine learning model from start to finish, including the challenges faced and how you overcame them. Importance should be placed on the model's impact and how it relates to enhancing security solutions at Teramind.

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How would you approach developing a new machine learning framework?

Describe your process for building a machine learning framework, including steps like defining objectives, choosing appropriate algorithms, preparing the data, and evaluating model results. Relate this to Teramind’s commitment to staying at the forefront of data science and user behavior analytics.

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Founded in 2014, Teramind is a leading, global provider of employee monitoring, insider threat detection, data loss prevention and workplace productivity solutions. Over 2,000 organizations in finance, retail, manufacturing, energy, technology, he...

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Full-time, remote
DATE POSTED
March 28, 2025

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