The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior HRBP on the HR department in our Tel Aviv Office, you’ll play a vital role in owning and delivering the strategic HR roadmap for R&D / Product departments. Reporting to the  Director of HR, Global Tech, the role incumbent will have a deep understanding of the business context, culture, and challenges faced as well as an understanding of the importance of designing global, scalable, and agile people processes to meet the needs of a dynamic, scaling organization.

We aren't looking for a traditional HRBP. We want a partner who views AI and automation as the ultimate leverage for HR. You don’t need to be a data scientist, but you should be someone who reads about LLMs, experiments with productivity tools, and dreams of an HR department where technology handles the routine so people can handle the exceptional!

 To thrive in this role, you'll need:

• Extensive experience of at least 6-8 years in HR business partnering, with a strong generalist HR background 
• A proven ability to balance strategic planning with hands-on execution, guiding their efforts to achieve impactful results while promoting innovative and progressive ways of working.
• Strong analytical skills to provide actionable insights and a commercial mindset to align HR strategies with business objectives.
• Exceptional communication skills and the ability to adapt to different audiences, build strong relationships, and influence stakeholders effectively.
• A proactive, solutions-oriented, and outcome focused approach.
• The ability to remain composed and effective under pressure, and thrive in fast-paced, ambiguous environments.
• The skills to challenge the status quo to deliver innovative, fit-for-purpose solutions.
• A commitment to driving employee engagement and fostering a culture aligned with organisational values.
• Tech-Forward Mindset, Maintaining a high level of curiosity regarding AI and automation; comfortable experimenting with new technologies to solve traditional HR challenges and model digital agility for the organization.

How you’ll make an impact:

• Execute the HR roadmap for R&D, ensuring alignment with global and regional business priorities. Act as a trusted advisor to R&D managers on workforce planning, talent strategies, and employee engagement and well being.
• Partner with business leaders on organisational assessment and design initiatives to support growth and operational excellence.
• Oversee generalist HR activities for R&D including performance management, total rewards, succession planning, and talent development.
• Analyse people data and provide actionable insights to managers to support informed decision-making and drive business outcomes.
• Champion a culture aligned with Taboola’s values, fostering an environment where employees are highly engaged and motivated.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health,  etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-SRM1

#LI-Hybrid

Job Summary:

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform — designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.

Responsibilities:

• Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
• Architect multi-agent workflows with planning, tool use, memory, and feedback loops — enabling agents to reason, adapt, and improve over time
• Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
• Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
• Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
• Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
• Collaborate with software engineers to productionize agentic solutions — including testing, monitoring, versioning, and iterative improvement
• Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing

Requirements:

• 4+ years of experience in applied data science or ML in a product environment, with demonstrated experience building agentic systems or autonomous agents
• MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
• Proven track record designing and implementing multi-step agentic pipelines, including LLM-based agents, tool use, planning loops, and memory mechanisms
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or equivalent
• Strong Python coding skills; familiar with Spark for large-scale, distributed data processing
• Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases
• Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior
• Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast

Nice to Have (Advantages)

• Experience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection)
• Familiarity with containerization and production engineering practices (Docker, Kubernetes)

Beamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

You can read more about us at:

https://www.beamup.ai/

And we were also chosen to be one of the 50 most promising Israeli startups of 2023:
https://www.calcalistech.com/ctechnews/article/hjtwkugx2

Join Apiiro — Design, develop, and deliver secure software faster

Apiiro is a fast-growing startup at the forefront of the application security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

About the Team

Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.

What You Will Do

• Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
• Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
• Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
• Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring

What You’re About

• B.Sc. in Computer Science, Mathematics, or similar.
• 4+ years of hands-on experience in applied data science or machine learning roles.
• Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
• Proficient in writing clean, maintainable, and efficient Python code.

• Optional (preferred):
• Experience with additional languages such as Java or C#.
• M.Sc. in Computer Science, Mathematics, or similar.

• Independent, proactive, and agile.
• Skilled at problem-solving and creative solution-finding.
• Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
• Innovative and committed to continuous learning and staying up-to-date with the latest technologies.

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact. 

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

-----

If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.

Responsibilities

• Spearhead strategic research of new cutting edge Machine Learning models
• Mentor and advise data scientists.
• Design solutions for the company’s core mission using Data Science methodologies from various domains
• Work in a short life-cycle research and development environment
• Generate and test working hypotheses in unexplored territory

Requirements

• 5+ years of experience in Machine Learning, working with tabular data on predictive modeling
• Track record of translating research into business impact
• MSc or PhD in a related field- Math/EE/CS/Physics/Stats
• Great interpersonal skills, and strong collaborator 
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Proficient in Python and the Data Science Stack
• Independent and fast learner that can work alone and in teams
• Ability to learn and explore new fields of expertise
• Knowledge in some of the following can be an advantage: optimization, risk and finance

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

SUMMARY

We're looking for a AI Research Scientist to join us in spreading the power of Wiz and push the boundaries of AI in cybersecurity. You'll be at the forefront of developing novel AI models - focusing transformers and LLMs - that advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing Wiz as a thought leader at the intersection of AI and cybersecurity.

WHAT YOU’LL DO

• Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for Wiz products.
• Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
• Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions’ accuracy, efficiency, and scalability.
• Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
• Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

WHAT YOU’LL BRING

• An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
• At least 3 peer-reviewed publications in reputable academic journals or conferences.
• 5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
• Experience and hands-on familiarity with distributed cloud systems.  
• Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI research—like Python—and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
• Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
• Excellent communication (both written and verbal) and presentation skills.

ADVANTAGE

• Knowledge of cybersecurity principles, attack vectors, and defense mechanisms.
• Experience speaking at data science and AI conferences like NeurIPS, ICML, or CVPR.

SUMMARY

We’re looking for a Data scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture.

WHAT YOU’LL DO

• Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows
• Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
• Collaborate with engineering teams to design, build, and maintain production pipelines
• Work closely with the Security Research and Product teams to define research goals
• Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
• Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

WHAT YOU’LL BRING

• An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience
• 5+ years of experience in leading data science and machine learning projects, with significant hands-on work building LLM-based applications or AI agents
• Deep practical experience with LLMs - prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families
• Experience with distributed cloud systems - hands-on familiarity with cloud-native architectures at scale
• Strong knowledge of deep learning models and common model architecture such as transformer models
• Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
• Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems
• Excellent communication (both written and verbal) and presentation skills
• Advantage: Knowledge of cybersecurity principles, attack vectors, and defense mechanisms

The opportunity
SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.

As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing

• Design and implement end-to-end solutions - from business needs all the way to live deployment
• Monitor and own models in production
• Model, design, and implement machine learning and data mining algorithms
• Perform deep data analysis to evaluate performance and recommend improvements
• Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

What we're looking for

• At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
• At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
• B.Sc in Computer Science, Statistics, Operations Research or equivalent
• Solid background with data lake and data warehouse technologies
• Great communication skills, Hands-On, independent and out of the box thinker

You might also have

• Experience in the Mobile gaming and advertising industries
• Proven experience with Airflow development
• Experience with big data technologies such as Spark, Trino, SingleStore DB
• Experience with Cloud Computing

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role 

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.

Key Responsibilities

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Develop data architecture for data ingestion, validation, and processing.
• Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
• Create and maintain optimal data pipeline architecture using microservices.
• Work with other members of the data team, including data architects, data analysts, and data scientists.

Key Takeaways

• Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
• Be around very bright and lovely people.
• Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
• Provide education and documentation to empower team members to make the most of technical resources.
• Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
• Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
• Collaborate on data infrastructure that supports LLM-driven workflows — leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

Requirements

• 5+ years of experience as a Software Engineer using Python.
• Experience with microservices and K8s.
• Experience in ELT/ETL processes and SQL, with strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
• Building and designing complex applications.
• Willingness to get your hands dirty, understand a new problem deeply, and build things from scratch when they don't already exist.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields from reputable academic institutions.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

Pagaya is seeking an experienced data scientist to join our Model Validation team. The ideal candidate will bring a blend of data science knowledge and analytical skills, understanding in Finance and an understanding of the regulatory landscape of credit lending. As a core team member, you will work closely with model developers to assess model performance, data quality, conceptual soundness, and produce thorough, compliant documentation for regulatory review, ensuring our models meet the highest standards. You will be required to challenge the models, helping Pagaya deliver high-quality validated models for loan pricing and underwriting.

Key Responsibilities:

• Conduct thorough validation of ML models to assess performance, data quality, robustness, conceptual soundness, regulatory requirements and more
• Conduct independent tests to assess performance and limitations, and establish model assumptions
• Suggest and develop alternative models to challenge and improve existing models
• Provide insights into the' strengths and weaknesses of models in terms of Data Science methodology and Finance as well as recommend practical solutions.
• Prepare comprehensive validation documentation
• Support the ongoing monitoring and improvement of existing predictive models
• Stay updated on the latest research in ML credit risk modeling and financial news, ensuring that our practices align with industry standards

Required Qualifications:

• 3+ years of experience in Data Science roles with experience with ML models- Must
• Work experience in a financial company
• Python - experience with data science packages (pandas, numpy,  sklearn, seaborn)
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
• Excellent problem-solving skills with the ability to think critically and creatively
• Strong communication skills and the ability to work effectively in a collaborative team environment
• Fluent in English, both verbal and written

Preferred Qualifications:

• Masters degree
• Experience in Finance, specifically with financial data or models - advantage
• Experience with cloud platforms (e.g., AWS) and distributed computing
• Familiarity with regulatory compliance requirements for financial models (e.g., SR 11-7)

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

The opportunity
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.

What Success Looks Like:

Short-term: Ship your first production model with measurable impact within 3 months.

Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.

Your Impact:

Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.

What You'll Gain:

Work on real-time ML systems at scale with rich, diverse data

Autonomy to define problems and drive projects from idea to impact

Freedom to explore emerging techniques and expand your scope

Fast feedback loops through strong experimentation infrastructure

What you'll be doing

• Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
• What Success Looks Like:
• Short-term: Ship your first production model with measurable impact within 3 months.
• Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
• Your Impact:
• Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
• What You'll Gain:
• Work on real-time ML systems at scale with rich, diverse data
• Autonomy to define problems and drive projects from idea to impact
• Freedom to explore emerging techniques and expand your scope
• Fast feedback loops through strong experimentation infrastructure

What we're looking for

• Strong Deep Learning Expertise – Comprehensive knowledge of DL theory paired with the practical intuition gained from training many networks; comfortable working with SOTA pretrained models while understanding the underlying mechanics of convergence and scale.
• Proven ability to deliver production ML models with measurable business impact - from problem definition through A/B testing -> deployment and outcome tracking
• AI-Native Builder Mentality – Comfortable breaking conventional development cycles to build fast and ship often. You have a deep mastery of the modern GenAI stack for development, using it to automate the mundane and focus your cognitive load on high-level architecture and model performance.
• Strong programming skills in Python and Deep Learning stack (PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
• Self-directed research capability - demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
• Structured problem-solving methodology - ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders

You might also have

• Positivity and enthusiasm

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Who is Eleos Health?

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human. Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, 

We want to give clinicians the support they need to do the important work only they can do.

What is this opportunity? 

We at Eleos are building a state-of-the-art behavioral health CareOps automation solution, our platform is a cutting-edge solution that turns behavioral health conversations into documentation and intelligence that drives better care, enhances therapists day to day, and increases their effectiveness and success.

Our solution uses cutting edge technology to digitize behavioral health conversations, track evidence-based care, and significantly reduce documentation work.

As a Sr. Data Scientist, you will be spearheading the analysis of tens of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical experts team, to derive insights that directly improve therapy sessions for thousands of people. This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications.

Who are you?

• +5 years of proven industry experience as a data scientist
• +3 years of experience in Python (production grade coding)
• Proven experience in developing and delivering end-to-end AI models, from data cleaning, feature engineering, algorithm development, and implementation in production
• Experience with NLP, LLM applications and Generative AI
• Experience in Speech & Audio domain (e.g., Speech-to-text, Speakers Separation, Diarization, Speaker identification) – advantage

Experience with cloud platforms (e.g., AWS, GCP, Azure) – advantage

• Start-ups experience - advantage
• Master's or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field - advantage

How will you contribute?

• Lead data science projects that directly influence the work of thousands of psychologists, psychiatrists, and other caregivers.
• Develop end-to-end AI solutions from the research phase through to production.
• Identify and leverage cutting-edge technologies to facilitate their integration into our products.
• Mentor and provide technical guidance to other team members.
• Play a critical role in designing the company’s products.

What qualifications and skills will help you to be successful? 

Some nice to haves are

• Accountability - we can trust you to take ownership of your tasks from A-Z and understand the gravity of the data you are working with.
• Agility and adaptability - we can trust you to get things done, learn what it takes on your own and adapt to a very dynamic environment.
• Communication - you are able to successfully communicate complex issues and problems.
• Analytical thinking and problem-solving - strong analytical mind with creative problem-solving capabilities.
• Great interpersonal skills.
• Team collaboration -  a collaborative team player who excels in working with cross-functional teams, including product, clinical experts, and engineering.

This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have

• A product that positively impacts peoples' lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities. 
• Mental health days off you can take any given moment simply because you need them. 

The Data Science role at Armis is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.

We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and Armis family. A data scientist that understands and loves data, and lots of it.

 What you will do...

• Solve Applied Product Challenges: Deep-dive into the Armis product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
• Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
• Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data—such as CVEs, threat intel feeds, and security advisories—to automate the mapping of vulnerabilities to specific business contexts.
• Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
• End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
• Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.

 What we expect...

• Academic Background: M.Sc./PhD in Computer Science, Statistics, Engineering, or a related field (or equivalent high-level professional experience).
• Industry Experience: 6+ years in Data Science, with a heavy focus on NLP and solving complex, real-world problems using ML/Deep Learning.
• Technical Mastery: Hands-on experience with PyTorch, Hugging Face, scikit-learn, and SQL. Familiarity with processing large-scale datasets (PySpark, or similar) is highly valued.
• Domain Awareness: Proven ability to apply statistical modeling to cybersecurity, risk management, or complex system analysis. Experience with Vulnerability Management or Graph Theory is a significant plus.
• Product and collaborative Driven Mindset: You are obsessed with understanding the "Why" behind the data. You enjoy learning the nuances of the product and the cybersecurity domain to ensure your DS solutions are highly applicable.

Curiosity & Grit: A passion for diving into "messy" data and finding the signal within the noise of the modern attack surface.

We are seeking a Senior Scientist to join the MyHeritage Science Team, an innovative research team that works with one of the largest DNA datasets in the world. In this critical role, you will build new features and algorithms and improve existing ones, including ethnicity estimation, relationship inference, and prediction of phenotypic traits. This work directly impacts millions of users by providing them with accurate information on their ancestry and family connections.

This unique position offers an exciting blend of academic rigor and industry application, focused on the science behind MyHeritage DNA products. You will apply state-of-the-art science and cutting-edge methods to analyze millions of DNA samples and family trees. Your efforts will help users worldwide discover their heritage and connect with family through science.

What you’ll do

• Work with a huge volume of genetic and genealogical data, which includes the genomes of over 8 million people around the world and billions of genealogical records.
• Develop and expand the company’s DNA analysis toolset, combining bioinformatics, population and statistical genetics, and machine learning, and testing new ideas stemming from both the product perspective and the scientific literature.
• Take ownership of end-to-end development of state-of-the-art DNA products, from conception through research, development and engineering, all the way to mature products released to millions of people worldwide.
• Work closely with engineering, product, and data teams to translate research outcomes into user-facing features and tools.
• Clearly communicate scientific concepts and progress internally and externally.
• Work with bright DNA researchers in a vibrant intellectual environment.

What you bring

• Advanced degree (ideally Ph.D.) in Genetics, Computational Biology, Bioinformatics, or a related quantitative field; and 2+ years of relevant experience in industry or postdoctoral studies.
• Strong background in:
• Population genetics and/or statistical genetics.
• Analysis of genotyping or sequencing data.
• Genomic data pipelines and bioinformatics tools.
• Machine learning or statistical modeling applied to biological data.
• Interrogating and troubleshooting data.
• Strong programming skills in Python/R, using scientific and machine learning toolboxes.
• Hands-on expertise in large-scale parallel computing platforms (cloud computing (AWS), computer clusters, Spark, etc.).
• Proficiency in Python and familiarity with production-scale computational pipelines.
• Familiarity with tools such as Snakemake, Airflow, or other pipeline managers is an advantage.
• Experience with AWS is an advantage.
• Excellent written and verbal communication skills.

About MyHeritage

MyHeritage is the leading global platform for family history. It enriches the lives of people worldwide by enabling them to uncover more about themselves and where they belong. With a suite of intuitive products, billions of historical records, an affordable at-home DNA test, and AI-powered photo tools, MyHeritage creates a meaningful discovery experience that is deeply rewarding. The MyHeritage platform is enjoyed by tens of millions of people around the world who treasure and celebrate their heritage. MyHeritage offers full privacy controls and is available in 42 languages. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model
• Modern, beautiful offices in Or Yehuda and Tel Aviv with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site Gym and Pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance
• Fully funded supplemental health insurance

#LI-Hybrid