דרושים Senior Data Scientist ב-Cognyte

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.

This role requires excellent leadership, problem-solving, and communication skills to deliver results in a fast-paced environment.

• As a Cognyter you will:
• Manage project/s scope, content control, schedule, and budget
• Maintain direct contact with customers and build long-term relationships
• Manage risks and mitigation plans
• Lead the overall project plan in a global environment across company divisions: R&D, QA, Operations, Integration, and Support.
• Define, prioritize, negotiate, and communicate customer requirements
• Manage third-party suppliers
• Escort the pre-sales process for new sales opportunities, including estimated timelines and efforts
• Play an active role in the technical analysis and resolution of issues

For that mission you’ll need:

• Degree - BSc in Computer Science, Systems Information, System Analysis, Computer Engineering, Industrial Engineering or equivalent
• Minimum 5 years of experience in managing or contributing to large-scale programs – a must
• Experience in working in a global environment with customers – a must
• Experience in managing complex technical systems in the telecom, security, or information domains
• Strong multitasking capabilities
• Ability to travel abroad (medium frequency)
• Excellent interpersonal and cross-cultural skills
• Knowledge of project management methodologies
• Fluent English
• Spanish or French – an advantage

Apply now.

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.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

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.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

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.

As a Cognyter you will:

• Research and implement creative solutions to signal intelligence challenges.
• Writing low-latency, high-throughput code.
• Learn, research and optimize protocols for efficient data processing.
• You will have an opportunity in shaping new systems through your design and development efforts.

For that mission you’ll need:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of professional experience in C++ development and Linux operating systems - must.
• Strong understanding of object-oriented programming and design patterns.
• Strong knowledge of multithreading and concurrent programming is a must.
• Experience with performance optimization and profiling tools.
• Proficiency in Python and C# - advantage.
• Knowledge of software-defined radio (SDR) and digital signal processing (DSP) - advantage
• Experience with version control systems (e.g., Git).
• Familiarity with Agile development methodologies.
• Knowledge of network programming.

Apply now.

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.

As a Cognyter you will:

• Research and implement creative solutions to signal intelligence challenges.
• Writing low-latency, high-throughput code.
• Learn, research and optimize protocols for efficient data processing.
• You will have an opportunity in shaping new systems through your design and development efforts.

For that mission you’ll need:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of professional experience in C++ development and Linux operating systems - must.
• Strong understanding of object-oriented programming and design patterns.
• Strong knowledge of multithreading and concurrent programming is a must.
• Experience with performance optimization and profiling tools.
• Proficiency in Python and C# - advantage.
• Knowledge of software-defined radio (SDR) and digital signal processing (DSP) - advantage
• Experience with version control systems (e.g., Git).
• Familiarity with Agile development methodologies.
• Knowledge of network programming.

Apply now.

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.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

As a Cognyter, you will:

- Define the technical vision and strategy for leveraging large language models (LLMs) and advanced ML techniques to enhance our product.

- Oversee the end-to-end ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.

- Contribute hands-on when needed, designing experiments, writing reusable code, evaluating models, and interpreting results.

- Take an active leadership role in agile processes, design reviews, brainstorming sessions, and knowledge-sharing forums.

To succeed in this role, you will need:

- An M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related field.

- 4+ years of hands-on experience building and deploying ML solutions.

- 2+ years of proven leadership experience managing and growing high-performing data science or ML teams.

- Strong expertise in Large Language Models (LLMs) and Generative AI.

- Deep experience with ML pipelines, including training, tuning, deployment, monitoring, and model versioning.

- Knowledge of optimization techniques such as quantization, pruning, and performance tuning.

- Familiarity with GenAI tools and frameworks: LangChain, RAG, vector databases, transformers, vLLM.

- Excellent communication skills with the ability to influence, inspire, and align stakeholders.

Apply now.