We are seeking a highly skilled and motivated Senior Data Scientist to join our talented team. As a Senior Data Scientist, you will play a key role in developing and optimizing our machine learning and LLM capabilities.
You will work closely with software engineers, data scientists, security researchers, and product management to design, develop, evaluate, and deploy machine learning models and state-of-the-art LLM-based features that address complex cybersecurity challenges.
Responsibilities
- Analyze large, complex datasets to identify patterns and trends that could indicate potential security threats.
- Collaborate with cybersecurity researchers to understand emerging threats and develop solutions that leverage advanced machine learning and data analytics.
- Design, develop, and evaluate ML and LLM-based solutions, including classification, NLP, and security-focused models, from experimentation through production.
- Develop and optimize LLM techniques including prompting, retrieval, embeddings, RAG, and fine-tuning where appropriate.
- Design robust evaluation methodologies and experiments for classification and LLM-based systems, using appropriate metrics to measure model quality, accuracy, and performance.
- Stay up to date with advancements in machine learning, NLP, LLMs, and related technologies, and evaluate their applicability to real-world cybersecurity problems.
- Collaborate with software and data engineers to integrate ML and LLM solutions into scalable production systems.
- Take ownership of complex data science problems, from problem definition and research through implementation and evaluation.
Requirements
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. A Master’s or Ph.D. is a plus.
- 5+ years of hands-on experience in data science, machine learning, or a related field.
- Strong understanding of machine learning and deep learning, with hands-on experience developing and evaluating classification models.
- Hands-on experience with NLP and text classification, including NER, training and fine-tuning models, and working with both traditional ML and modern LLM-based approaches.
- Strong proficiency in Python. Experience with PySpark and Databricks is a plus.
- Experience developing and evaluating LLM-based applications, including prompt engineering.
- Experience with embeddings, vector search, and vector databases.
- Experience working with commercial and open-source LLMs and frameworks, such as OpenAI models and the Hugging Face ecosystem.
- Experience with model fine-tuning, RAG systems, and LLM-based classification.
- Experience working with highly imbalanced datasets, selecting appropriate evaluation metrics, and optimizing models for precision/recall trade-offs.
- Strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data and experimental results.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- Proven track record of delivering high-quality solutions in a fast-paced, dynamic environment.
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!
@VaronisLife
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
- 5+ years of hands-on experience in data science, machine learning, or a related field
- Strong understanding of machine learning and deep learning, including classification models
- Hands-on experience with NLP and text classification, including NER and model training and fine-tuning
- Strong proficiency in Python
- Experience developing and evaluating LLM-based applications and prompt engineering
- Experience with embeddings, vector search, and vector databases
- Experience with commercial and open-source LLMs, including OpenAI models and the Hugging Face ecosystem
- Experience with model fine-tuning, RAG systems, and LLM-based classification
- Experience working with highly imbalanced datasets and precision-recall optimization
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Proven track record of delivering high-quality solutions in a fast-paced environment
- Master's or Ph.D. degree
- Experience with PySpark and Databricks
Varonis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Varonis and has not been reviewed or approved by Varonis.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, including medical, dental, and vision options that start immediately in some locations. The package is frequently characterized as a strong part of the overall rewards offering alongside other core benefits.
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Retirement Support — Retirement benefits include a 401(k) with company matching (or a pension plan by region), which strengthens the long-term value of the package. Participation is complemented by additional ownership programs that increase total-rewards attractiveness.
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Equity Value & Accessibility — Equity-related rewards such as stock options and an employee stock purchase plan (ESPP) are a notable part of the total compensation mix. These elements are often cited as helping offset middling perceptions of base pay, especially where equity participation is accessible.
Varonis Insights
What We Do
Varonis is a pioneer in data security and analytics, fighting a different battle than conventional cybersecurity companies. Varonis focuses on protecting enterprise data on premises and in the cloud: sensitive files and emails; confidential customer, patient and employee data; financial records; strategic and product plans; and other intellectual property. The Varonis Data Security Platform detects insider threats and cyberattacks by analyzing data, account activity, perimeter telemetry, and user behavior; prevents and limits disaster by discovering, classifying and locking down sensitive, regulated and stale data; and efficiently sustains a secure state with automation. With a focus on data security, Varonis serves a variety of use cases including data protection, threat detection and response, and compliance. Varonis started operations in 2005 and, as of December 31, 2018, had approximately 6,600 customers worldwide — comprised of industry leaders in many sectors including technology, consumer, retail, financial services, healthcare, manufacturing, energy, media, and education.
