Data Scientist

**About Teramind**
Teramind 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 Values**
At 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 a** Data Scientist** specializing in online behavioral analytics, you will analyze user clickstream data recorded on the end user side. You will also leverage Generative AI tools and frameworks, working with Large Language Models (LLMs) and agentic AI frameworks to augment model context with user behavioural data, driving advanced insights and intelligent automation across digital platforms.
**Responsibilities**
- Design and implement methods to extract behavioral signals from raw click data, including sessionization, event tracking, and feature engineering.
- Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and key behavioral drivers.
- Design and evaluate experiments (such as A/B tests) to assess the impact of changes to user interfaces or features on user behavior.
- Collaborate with cross-functional teams (product, UX, marketing) to translate business questions into data-driven analyses and actionable recommendations.
- Develop and maintain dashboards and visualizations to communicate findings to both technical and non-technical stakeholders.
- Design, build, and evaluate AI workloads utilizing Generative AI models using frameworks such as LangChain, Model Context Protocol, and Hugging Face Transformers, with a focus on integrating and augmenting these models with user behavioral data for enhanced context and personalization.
- Implement and work with agentic AI frameworks to orchestrate multi-step reasoning and autonomous workflows powered by LLMs, leveraging user clickstream and behavioral data as contextual inputs.
- Stay updated with the latest developments in behavioral data science, analytics tools, Generative AI, and agentic AI methodologies.
**Requirements**:
- Hands-on experience in Data Science experiments design and working with Generative AI tools and LLMs (e.g. Gemini, OpenAI, Claude, LLama).
- Strong statistical analysis skills, including hypothesis testing, regression, clustering, and time-series analysis.
- Proficiency in Python, including libraries for data analysis (e.g., Pandas, NumPy), machine learning (e.g., scikit-learn), and data visualization (e.g., Matplotlib, Tableau).
- Proven experience in data science, with a focus on online behavioral analytics, user journey analysis, or clickstream data.
Familiarity with Advanced Prompting Strategies, agentic AI frameworks, techniques for retrieval-augmented generation (RAG) and context enrichment using behavioral data.
- Experience with Knowledge Graphs, SQL and data extraction from large-scale databases or web logs.
- Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
- Strong communication and collaboration skills for cross-functional teamwork and stakeholder engagement.
- Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Behavioral Science, or a related field.
**Nice to have**
- Experience with web analytics tools and event tracking frameworks.
- Experience designing and analyzing online experiments (A/B/n testing).
- Knowledge of data privacy and ethical considerations in user data analysis.
- Experience with cloud platforms (GCP, AWS) and containerized deployments (Docker, Kubernetes).
**Benefits**
This is a remote job. Work from anywhere We've been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.
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