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Senior Data Scientist

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 a Senior Data Scientist at Teramind, you will play a pivotal role in leading data-driven initiatives and building advanced modeling capabilities within the team. You will leverage your expertise in statistical analysis and machine learning to address complex business questions, deliver actionable insights, and influence decision-making processes.

We're seeking a Senior Data Scientist with security analytics experience to develop advanced analytics models for our platform. You'll create algorithms that identify unusual user behaviors and potential security threats across diverse customer environments.

Responsibilities

  • Develop and optimise complex modelsfor detecting anomalous user behavior
  • Create algorithms for identifying potential insider threats and security violations
  • Design feature engineering approaches for behavioral data
  • Implement unsupervised learning techniques for pattern discovery
  • Collaborate with security analysts to validate model effectiveness
  • Optimise models for production performance and accuracy
  • Collaborate with cross-functional teams to define metrics and key performance indicators, developing dashboards and reporting tools.
  • Establish best practices for data science methodologies that streamline processes and improve model reliability.
  • Stay abreast of the latest advancements in data science and machine learning, integrating new techniques and technologies where appropriate.
  • 5+ years of hands-on experience in in data science with a strong background in machine learning.
  • Proficiency in programming languages such as Python and ML frameworks
  • Expertise in anomaly detection and behavioral analytics
  • Knowledge of statistical analysis and model validation techniques
  • Demonstrated experience with advanced algorithms and ML techniques including clustering, regression, classification, and neural networks.
  • Strong analytical skills with the ability to interpret large data sets and draw meaningful conclusions.
  • Excellent communication skills, capable of presenting complex technical information to non-technical stakeholders.
  • Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.
  • Advanced English level
  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related 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
  • 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

$125000 / YEARLY (est.)
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$100000K
$150000K

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What You Should Know About Senior Data Scientist, Teramind

As a Senior Data Scientist at Teramind, you'll be stepping into a critical role where your skills will directly impact the way organizations manage insider risks and enhance user behavior analytics. Teramind, a leader in insider threat management, is on the lookout for someone like you to join our innovative team of experts who believe in blending cutting-edge technology with a collaborative work culture. In this position, you'll dive deep into complex data sets, employing your statistical prowess and machine learning expertise to construct sophisticated models that spotlight unusual user activity and potential security threats. You'll be entrusted with crafting algorithms that not only protect sensitive company data but also provide actionable insights that drive strategic decisions. As you partner with security analysts and cross-functional teams, you'll develop key metrics and intuitive dashboards that make understanding data easier than ever. With 5+ years of experience in data science, especially in security analytics, and a fundamental understanding of programming languages like Python, you're the inventive mind we want. Add to that, your knack for communicating technical information to diverse audiences, and you’ll be an invaluable part of our mission to safeguard organizations around the globe. Join Teramind and fuel your career growth while being part of a fully remote team that values flexibility, inclusivity, and innovation in solving today’s security challenges.

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Teramind
What responsibilities can a Senior Data Scientist at Teramind expect?

A Senior Data Scientist at Teramind will engage in defining data-driven initiatives, optimizing models to detect anomalous user behavior, and creating algorithms aimed at identifying insider threats. You will work closely with cross-functional teams to analyze vast datasets, develop metrics, and maintain best practices in data science methodologies, ensuring your solutions contribute effectively to the company’s goals.

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What qualifications should I have for the Senior Data Scientist position at Teramind?

To be a competitive candidate for the Senior Data Scientist role at Teramind, you should possess at least 5 years of hands-on data science experience with a robust background in machine learning. A Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related fields is preferred. Strong programming skills in Python, coupled with expertise in anomaly detection and behavioral analytics, will also aid your application.

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What technologies and methodologies should a Senior Data Scientist be familiar with at Teramind?

As a Senior Data Scientist at Teramind, familiarity with programming in Python and knowledge of machine learning frameworks are essential. You should also be well-versed in advanced algorithms, including clustering, regression, and neural networks. Understanding statistical analysis, model validation techniques, and security data processing is crucial for this role.

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What type of work environment can a Senior Data Scientist expect at Teramind?

At Teramind, you will be part of a flexible and inclusive work environment experiencing a fully remote culture since 2014. The company fosters free exchange of ideas and values innovation among its team members. You will collaborate with a diverse group of professionals worldwide, making this an exciting opportunity for personal and professional growth.

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How does Teramind support career growth for Senior Data Scientists?

Teramind emphasizes continuous development by offering ongoing training and growth opportunities for its team members. As a Senior Data Scientist, you will have access to resources that nurture your expertise in data science and machine learning, allowing you to stay updated with the latest advancements and further your career in a supportive environment.

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Common Interview Questions for Senior Data Scientist
What experience do you have with machine learning algorithms?

When answering this question, highlight specific algorithms you've implemented in past projects. Explain the context, the challenges faced, and the outcomes achieved. This portrays your hands-on experience and gives interviewers insight into how you apply theory to real-world scenarios.

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Can you explain how you approach feature engineering?

Share your methodology for feature engineering, including how you identify meaningful features from raw data. Discuss any specific techniques you've used, and provide examples of successful projects where your approach significantly improved model performance.

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Describe a time when you identified an insider threat through data analysis.

Use the STAR method (Situation, Task, Action, Result) to outline your experience. Describe the context, what data you analyzed, the actions you took, and the outcome. This method showcases your problem-solving capabilities and analytical skills tailored to insider threats.

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How do you validate your models?

Explain your validation process, including cross-validation, holdout techniques, and metrics you use to evaluate model accuracy (e.g., ROC-AUC, Precision-Recall). Highlight how data validation strengthens the reliability of your insights in the security context.

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What is your experience with presenting data findings to non-technical stakeholders?

Discuss specific instances where you presented complex findings. Emphasize your strategies for simplifying technical jargon and focusing on the implications of the data. This illustrates both your analytical and communication skills.

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How do you keep up with the latest developments in data science?

Mention specific resources, such as academic journals, webinars, or professional networks that you actively follow. Describe how you integrate new methodologies and technologies into your work, which demonstrates your commitment to continuous learning.

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What role does collaboration play in your data science projects?

Share your views on the importance of teamwork in data science. Provide examples of successful collaborations with security analysts or other departments, highlighting how those interactions improved project outcomes and model effectiveness.

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What approaches do you take to optimize models for production performance?

Explain techniques you employ for model optimization, such as hyperparameter tuning and leveraging efficient computational resources. Discuss experiences where your optimizations led to improved performance and responsiveness.

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How do you ensure compliance with industry regulations in your projects?

Discuss your understanding of compliance standards and how you ensure your data handling meets these regulations. Give examples of how you may have applied secure data practices in past projects to mitigate potential risks.

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What is your vision for the future of data science in security analytics?

Articulate your thoughts about emerging trends in data science, especially as they relate to security analytics. Providing insights into the future challenges and technological advancements you foresee demonstrates your forward-thinking approach and expertise in the field.

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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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