לוח משרות דרושים Data Scientist משרה מלאה

Required Principal Data Scientist - LLM/GenAI (Cortex)
Your Career
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach
Design and implement LLM-based solutions to face modern cybersecurity challenges
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

About Us Biolojic Design uses AI to design groundbreaking therapeutics and is the first company to apply AI in the design of human antibodies. Combining computational biology and large molecule drug design, Biolojic uses its proprietary AI platform to design antibodies with new capabilities to cure life threatening and debilitating diseases, ushering in a new era of smart therapeutics. Position Summary As a Business Development & Strategy Student , you’ll work directly with the Senior Director of BD & Strategy to support projects that shape our company’s growth. This is a hands-on opportunity to learn how strategy, science, and business intersect in biotech. This is a part-time, on-site position based in our offices. Key Responsibilities Competitive Landscape Analysis and Industry Trends – track and analyze industry players, therapeutic modalities, and market trends in biologics and AI-driven drug discovery. Clinical Trial Tracking – monitor clinical development programs across antibodies, antibody-drug conjugates, and related modalities, with a focus on competitive intelligence. Data Synthesis & Presentation – create concise reports, presentations, and dashboards to support strategic decision-making by senior leadership. Cross-functional Collaboration – Work with both scientific and business team members to gather insights and align on analyses. Qualifications
* Current graduate (MBA, MSc) student or recent graduate in life sciences, biotechnology, bioengineering, data science, or business with a healthcare focus.
* Strong interest in biopharma, antibodies, and AI-driven discovery. Excellent analytical, research, and problem-solving skills ; ability to synthesize large amounts of information into actionable insights.
* Proficiency in Excel, PowerPoint, and literature/database searches (e.g., PubMed, ClinicalTrials.gov, GlobalData).
* Strong communication skills (written and verbal).
* Ability to work independently in a fast-paced, entrepreneurial environment. What We Offer Exposure to senior leadership and strategic decision-making in a biotech start-up. Hands-on experience at the intersection of AI, biologics, and business strategy.
* Opportunity to contribute meaningfully to a fast-growing company advancing next-generation antibody therapies.
* Mentorship and career development support.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads.

What Youll Be Doing:

Build automated verification tests in a simulated environment for high-end hardware and software.

Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors.

Enhance product quality by improving test coverage and developing comprehensive verification strategies.

What will you do:
As Senior Data scientist at our company, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our copmpanys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

As a key member in our team, you will manage and lead quality assurance processes, provide actionable insights, and help streamline data monitoring and alert systems. If you have a passion for improving processes, and driving data accuracy in consumer intelligence, we want to hear from you!

Responsibilities:

In-Depth Data QA and Oversight: Continuously evaluate and improve data monitoring and QA processes to enhance team efficiency and data quality. Implement best practices and create standard operating procedures for data verification, analysis, and alert management.

Quality Assurance Supervision: Oversee the regular QA checks conducted on partnership intelligence dashboards to ensure data integrity and consistency. Take a proactive role in resolving discrepancies and ensure the timely delivery of accurate reports.

Data Analysis & Reporting: Lead the analysis of trends and patterns in affiliate performance data to uncover areas for improvement. Prepare and present findings to internal teams in an easily understandable format.

Alert Management Oversight: Supervise the alert management system to ensure relevant alerts are delivered accurately to clients in a timely manner. Work with the team to assess the impact of alerts and determine corrective actions based on client preferences.

Cross-Functional Collaboration: Work closely with internal teams to foster communication and collaboration, ensuring alignment between the QA team and other departments such as R&D.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You should have in-depth knowledge of statistical and data science methodology and tools. Youll join a tight-knit group that values continuous improvement and solving challenging technical and product problems in an emerging space. Plus, we like to have fun along the way.

Responsibilities:
Creating innovative Machine Learning solutions for big data-sparse setups
End-to-end research and development of scalable Data Science solutions for use-case challenges
Maintenance and improvement, if needed, of existing models, including accuracy and performance assessment in production
Collaborate with Data Engineers to tackle scale-up challenges

we are Walmart's first acquisition in Israel, and has become an integrated part of the core of Walmart's e-commerce, the largest retailer in the world!

We develop state-of-the-art NLP solutions that enable millions of Walmarts shoppers to make smarter and more confident buying decisions.

Were growing and are currently looking for a Staff NLP Data Scientist to join our group, and help us through the research and development of cutting-edge algorithms while handling massive amounts of data.

Responsibilities:

Responsible over algorithmic features from inception to production
Research new technologies and adapt them for use in the product
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems
Write and implement efficient code

As a Data Scientist at our company, you will play a critical role in developing data-driven solutions that uncover legal insights at scale. Youll work across domains-analyzing large and complex datasets, designing models (including those based on LLMs), and translating data into actionable insights that support our mission of surfacing justice.
Youll take full ownership of your analyses and models, from problem definition to experimentation and evaluation. Youll collaborate closely with engineers, domain experts, and product teams to design robust data science solutions that create real-world impact and inform product decisions.
Responsibilities:
Design and implement data science solutions using LLMs and legal datasets to surface insights and automate tasks.
Lead end-to-end development of ML pipelines-from data exploration and preprocessing to model training, deployment, and monitoring.
Build and maintain production-ready pipelines for experimentation, evaluation, and inference.
Collaborate with legal stakeholders and analysts to define problems, identify opportunities, and translate them into data-driven solutions.
Develop and iterate on LLM-based systems, including prompt engineering.
Write clean, maintainable Python code that meets production standards, including testing and documentation.
Stay curious and proactive-evaluating new tools, approaches, and technologies.
Communicate clearly across technical and non-technical audiences, contributing to a collaborative team culture.

Responsibilities:
Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

This is a senior leadership role focused on technical excellence and innovation. You will mentor a talented team of engineers and scientists, guide the end to end technical strategy from innovative research to production deployment and ultimately define the art of the possible for our most critical operational systems.

Responsibilities:

Lead the design and architecture of complex, end to end AI systems, guiding projects from initial conception and research through to production deployment and impact analysis.

Own the technical vision for the next generation of intelligent automation, creating patented technologies that directly impact Salesforce Field Service's core competitive advantage and market differentiation.

Provide technical leadership and set the strategic direction for the research and development of novel optimization and machine learning solutions.

Drive fast paced experimentation by independently or collaboratively prototyping solutions that showcase how new AI technologies can address real world business challenges. Collaborate with cross functional teams to translate prototypes into actionable solutions and define incremental delivery plans for implementation.

Mentor and guide a team of AI developers and scientists, fostering a culture of innovation, technical excellence, and continuous learning.

Stay at the forefront of academic and industry advancements by attending top tier conferences, networking with experts, and continuously learning about the latest in optimization, AI, and large language models (LLMs) to identify, evaluate, and apply emerging techniques that drive a significant competitive advantage.
JR314441

We are seeking a Data Product Manager to join Teads Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that Teads business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower Teads business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with Teads global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Collaborate with engineers and analysts to design reliable, scalable, and user-friendly Looker explores, dashboards, and data models.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.

We are looking for a Safety Assurance Expert to our the Safety team developing novel approaches to assess and promote autonomous vehicle (AV) safety.
Safety is a core decision driver at the highest level of development and business strategy, directly impacting project timelines and approval for our most advanced programs.
Demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. It requires a deep understanding of the entire AV system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach.
What Will Your Job Look Like?
Contribute to the development of a large-scale autonomous system from its early stages and see it through to deployment.
Take part in the safety assessment process, leading I1 assessments and defining and tracking key performance indicators (KPIs) for the AV system.
Propose and implement new methods and tools to support comprehensive safety evaluations.
Identify and analyze potential safety riskssuch as those related to driver behaviorand develop strategies for mitigation.
Collaborate with stakeholders across the automotive industry to build broad acceptance of our safety methodology.
Work closely with customers and regulatory bodies on all aspects of safety assurance.