Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough.
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
If you want to be part of a powerful team, we are looking for a skilled and motivated Applied Data Scientist to join our research group at Cognyte. As an Applied Data Scientist, you will work closely with our data engineers, research scientists, and software engineers to develop and implement advanced machine learning models and algorithms. You will play a key role in leveraging data-driven insights to enhance Cognyte's products and provide valuable solutions to our customers. This position offers an exciting opportunity to contribute to cutting-edge AI technologies in the fields of NLP, computer vision, pattern recognition, Large Language Models (LLMs), and more.
As a Cognyter you will:
- Develop, implement, and optimize machine learning models and algorithms, including but not limited to LLM-related AI applications.
- Collaborate with data engineers to design and implement data processing pipelines for efficient model training and inference.
- Fine-tune pre-existing models and customize them to specific domains and customer requirements.
- Conduct experiments and analyze model outputs to evaluate their performance and identify areas for improvement.
- Stay up to date with the latest advancements in machine learning and AI research, and identify opportunities to leverage emerging techniques and technologies.
- Communicate and present technical findings, insights, and recommendations to both technical and non-technical stakeholders.
Your toolbox
- MSc degree in Computer Science, Data Science, or a related field.
- 5+ years of relevant experience as a Data Scientist, applying machine learning techniques in practical projects.
- Solid understanding of machine learning algorithms and techniques, with hands-on experience in developing and implementing models.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
- Hands-on experience with supervised fine-tuning (SFT) and parameter-efficient fine-tuning methods such as LoRA and QLoRA for adapting large language models.
- Knowledge of advanced model architectures and fine-tuning approaches, including Mixture of Experts (MoE), model evaluation, and optimization.
- Hands-on experience designing and implementing LLM-based agents and multi-agent systems for planning, reasoning, tool use, task orchestration, and workflow automation.
- Experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel, including evaluation, observability, and production integration.
- Familiarity with data preprocessing techniques, feature engineering, and model evaluation metrics.
- Knowledge and experience in mobile network protocols, topology, and network intelligence would be an advantage.
- Knowledge and experience in applying graph algorithms to identify relevant subgraphs and connectivity patterns.
- Strong collaboration skills with demonstrated ability to work effectively across teams.
- Strong problem-solving skills and the ability to apply analytical thinking to complex business problems.
- Strong attention to detail and the ability to work effectively in a fast-paced, collaborative environment.
- Willingness to travel abroad (10%).
Why Cognyte is your perfect match
We’re a values-driven business with a strong passion for innovation that makes a meaningful impact on the world around us. We are calling out to YOU, the curious minds of the world, who are looking to break new ground and bring innovative ideas to life.
- If this describes you, we could be your perfect match! Curious? Apply now.
Skills Required
- MSc degree in Computer Science, Data Science, or a related field
- 5+ years of relevant experience as a Data Scientist applying machine learning techniques in practical projects
- Strong understanding of machine learning algorithms and techniques, with hands-on model development and implementation experience
- Proficiency in Python
- Experience with TensorFlow or PyTorch
- Hands-on experience with supervised fine-tuning, LoRA, and QLoRA for adapting large language models
- Knowledge of advanced model architectures and fine-tuning approaches, including Mixture of Experts, model evaluation, and optimization
- Hands-on experience designing and implementing LLM-based agents and multi-agent systems
- Experience with LangGraph, AutoGen, CrewAI, or Semantic Kernel, including evaluation, observability, and production integration
- Familiarity with data preprocessing, feature engineering, and model evaluation metrics
- Knowledge and experience with mobile network protocols, topology, and network intelligence
- Knowledge and experience applying graph algorithms to identify relevant subgraphs and connectivity patterns
- Strong collaboration skills and ability to work effectively across teams
- Strong problem-solving and analytical thinking skills
- Strong attention to detail and ability to work in a fast-paced, collaborative environment
- Willingness to travel abroad 10%
Cognyte Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.
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Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
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Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.
Cognyte Insights
What We Do
Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.
Why Work With Us
Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.
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