לוח משרות דרושים Data Scientist

The Engineering organization is charged with developing state-of-the-art analytical and AI/ML models, solutions & algorithms that are Embedded into the company`s suite of cloud services. We continuously promote analytical and algorithmic innovation that addresses a wider set of business problems & challenges faced by financial Institutions. We are seeking an?experienced, innovative & business-savvy Analytics professional to join us and help us build the next big analytical thing. You will lead a team of data scientists and engineers, build and grow the Labs pr
Position Intro:
We are a leading provider of advanced pricing and rating solutions tailored for the insurance and banking industry. Our software empowers actuaries and data scientists within financial companies to make data -driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the market, we are at the forefront of revolutionizing how financial companies approach pricing and rating.

The AI group provides insights, understands maritime risks, and identifies unusual patterns, turning ideas into demonstrable customer value. We are a dynamic and fast-paced company revolutionizing the maritime industry. The ideal candidate is a problem solver with a deep understanding of data science, capable of taking projects from concept to production.

What will you do?

Develop and implement various models (e.g., predictive models, classifiers, analyze time series data, and ship behavioral pattern algorithms) on proprietary data.
Lead projects from ideation to production, ensuring solutions are effective in real-world scenarios, and monitored for quality over time.
Build products with LLM and GenAI
Collaborate with product managers to understand problems and define solutions.
Contribute to the research environment/infrastructure in order to improve the flexibility and speed of our delivery

Company overview: Cellebrite’s (Nasdaq: CLBT) mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. Cellebrite is a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations to master the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies globally, Cellebrite’s Digital Intelligence platform and solutions transform how customers collect, review, analyze, and manage investigative digital data in legally sanctioned investigations.



Position overview: You will focus on pioneering data-driven solutions specifically for digital forensics and intelligence. The responsibility includes crafting and refining machine learning models to unveil actionable insights from intricate multimodal digital forensic data. As a central figure in our multifaceted research team, you will oversee projects from inception to fruition, guiding both initial data analysis and final model assessments. The ideal candidate will possess a rich analytical background, a history of innovative contributions, and a PhD or equivalent. Strong leadership abilities and exemplary written and spoken communication are paramount.

Office Location:
Petah Tikva

We are seeking a highly skilled and motivated Senior data Science Lead to join our innovative R&D team. In this role, you will leverage your expertise in AI and Machine Learning to drive impactful solutions in the plant-based food industry. You will be hands on and lead a talented team of data scientists to develop and implement cutting-edge models that enhance our product offerings collaborating with cross-functional teams. If you are passionate about using AI to solve real-world problems and are excited about the future of sustainable food, we would love to hear from you.
Key responsibilities:
* Design, develop, and implement AI and Machine Learning models to solve complex challenges in the plant-based food sector.
* Oversee the deployment of models into production environments, ensuring they meet quality and performance standards.
* Collaborate with domain experts to incorporate specific knowledge into data models and solutions effectively
* Build, lead and mentor a team of data scientists, fostering a collaborative and innovative work environment.
* Stay updated with the latest advancements in AI and Machine Learning, applying best practices to enhance the team's projects.

The Machine Learning Data Analyst will analyze complex data sets, support the product teams in defining KPIs, and develop and implement models. This role requires strong analytical skills to interpret complex data and generate meaningful insights. Expertise in conducting thorough research, designing algorithms, and effectively communicating results is essential to enhance user satisfaction and drive business performance. Responsibilities: Data Analysis and Insights: Analyze large, complex data sets to answer business questions and extract insights using SQL. Support the Product team with KPI definition, BI requests, release monitoring, A/B testing, and optimization. Collaborate with the Product team to monitor and understand daily business metrics. Measure and analyze performance to improve user satisfaction and propose revenue-maximizing strategies. Communicate results through clear reports with visual aids. Research and Innovation: Conduct research from ideation through development. Take part in the entire research cycle: the idea phase, collecting and analyzing data, writing simulations, exploring algorithmic approaches, and building proofs-of-concept. Build and deploy regression, classification, and clustering models. Work with product leaders to implement solutions to optimize user flows, personalize offerings and pricing strategies. Identify opportunities to integrate data from diverse sources. Innovate across teams to drive cross-functional initiatives. Model Development: Develop and implement advanced models, including ML models. Train models and analyze results to ensure accuracy and effectiveness. Design and apply algorithms based on time series models and machine learning, including anomaly detection.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are seeking a highly skilled and motivated Data Operations Team Lead to join our data annotation team. In this leadership role, you will oversee and support a team of data annotation experts, ensuring the accuracy and reliability of annotated data. You will be responsible for guiding hands-on data annotation and tagging efforts, integrating advanced technologies to streamline data operations, and collaborating with various departments to achieve organizational goals. As a team lead, you will also play a crucial role in mentoring team members, optimizing workflows, and driving continuous improvement in data operations.
A day in the life and how you’ll make an impact: Oversee a team of data annotation experts, ensuring precision and consistency in the annotation and tagging of data. Provide guidance and support to team members to maintain high standards of accuracy and quality.
* Perform data annotation and tagging tasks as needed, maintaining high standards of accuracy and quality.
* Utilize cutting-edge technologies and tools to enhance data operations, improving annotation capabilities and overall project efficiency.
* Conduct regular performance reviews of third-party vendors and in-house team members to ensure alignment with project goals and adherence to high-quality standards.
* Oversee multiple concurrent projects, working collaboratively with various departments to meet project milestones and organizational objectives.
* Partner with algorithm developers to bridge the gap between labeling concepts and technical constraints, ensuring effective communication and alignment throughout the project lifecycle.
* Drive continuous improvement in data operations by optimizing workflows, creating automation solutions using Python, and implementing best practices to enhance efficiency and reduce manual effort.
* Create and maintain comprehensive documentation and training materials to address labeling inefficiencies, promote continuous improvement, and ensure clarity in project guidelines.

At 365Scores, we're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide. About The Role: As a Data Science Team Leader at 365Scores, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties machine learning models to business outcomes.

Responsibilities:

* Lead the full lifecycle of machine learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

We are looking for an experienced Algorithm Engineer to join our R&D Group.
As a fast-growing, leading e-commerce company with vast amounts of data, We continuously enhance our algorithms to discover new, data-driven insights and leverage Generative AI to power innovative solutions.

This is an exciting opportunity for someone with a strong computer science academic background, real-world implementation experience, and a passion for AI and machine learning. You will join a fast-paced, highly technical, and savvy group responsible for building platforms and algorithms, working with cutting-edge technologies like ElasticSearch, Golang, Redis, MongoDB, BigQuery, Kubernetes, AWS, and more. Youll collaborate closely with data scientists, analysts, product managers, business owners, and other teams across to drive impactful solutions.

What am I going to do?
Owning the solution life cycle end to end: from research and prototyping to implementing algorithms and integrating them into production environments, including A/B testing, monitoring, and maintenance.
Tackling complex business problems by deconstructing them into smaller issues, researching, and developing innovative, AI-driven solutions.
Combining disciplines of algorithms, big-data processing and analysis, Generative AI, and high-scale cloud programming to solve business challenges.
Working in a highly agile, continuous delivery, large-scale environment where new features quickly reach extensive A/B testing in production.
Staying at the forefront of AI advancements, applying the latest techniques and tools to enhance offerings.ש

We are enhancing our Computational Discovery unit by expanding our Data Science team and are looking for a skilled Data Scientist to lead the development and implementation of advanced algorithms and analytical tools.
The Data Scientist will play a key role in the development of our Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immuno-oncology (IO). The Data Scientist will report to the Director, Head of Computational Discovery.
Develop, implement, and validate machine learning algorithms and statistical models to solve biological and technical challenges, extracting meaningful insights towards targets and biomarkers discovery in IO
Lead the identification, benchmarking, and implementation of advanced deep-learning and generative AI algorithms to advance the Computational Discovery analytics platform
Collaborate closely and routinely with computational scientists, biologists, and immunologists
Present, visualize, and communicate analytics results and scientific insights to internal and external collaborators

We are expanding our bioinformatics and data engineering team under the Computational Discovery unit and seek a Bioinformatics Scientist / Senior Bioinformatics Scientist to drive hands-on data analysis and algorithms development towards novel targets discovery and enhancement of our cloud-based computational biology platform.
The Bioinformatics Scientist / Senior Bioinformatics Scientist will play a key role in the development of our Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immune-oncology (IO).
The Bioinformatics Scientist / Senior Bioinformatics scientist will report to the Head of Computational Discovery.
Conduct end-to-end computational analyses of single cell and spatial transcriptomics data
Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines
Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients stratification and biomarkers discovery
Work closely and routinely with computational scientists, biologists and immunologists
Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators

Were looking for an experienced Fraud Analyst to join our team to lead the research and development of cutting-edge fraud detection strategies, ensuring our solutions remain ahead of emerging threats.
Our team is global, with most team members located in Tel Aviv.
What you'll do:
Investigate and Develop Fraud Detection Strategies. Conduct thorough investigations of fraud attacks, identify potential detection leads, and collaborate with engineering teams and data scientists to design, develop, and roll out new detection models and capabilities and expand our signal collection variety.
Leverage Data for Actionable Insights. Apply data-driven techniques to analyze fraud patterns, generating insights that enhance our detection strategies and customer outcomes.
Develop Tools for Efficiency and Reporting. Create tools to streamline investigations, improve report generation, and boost overall product efficiency.
Educate and Train External Teams. Lead training sessions and onboarding for external teams, equipping them with knowledge of emerging threats and our products capabilities.
Provide Expert Customer Support. Support customers by addressing complex fraud scenarios and helping them effectively use our platform to mitigate risks.

We are looking for a Product Data Analyst who can see beyond the numbers, leveraging data to inform, influence, support, and execute strategic product decisions. You will play a crucial role in guiding the direction of our products, ensuring that data-driven insights are at the forefront of our decision-making process. Your ability to translate complex data into actionable recommendations will be key in shaping our product strategies and driving business growth.



You will collaborate with an Agile-Scrum cross-functional team consisting of talented individuals from multiple disciplines, including Product, Backend, Mobile, Web, Quality Engineering, Design, and more. Together, you will work on delivering the company roadmap, initiatives, and projects, all aimed at creating great products that drive value for our traders.



As a Product Data Analyst, you will:

Play a crucial role in product decisions by identifying areas for improvement and recommending growth opportunities.
Be the domain expert and the analytical focal point.
Build and maintain reports, dashboards, and metrics to monitor performance.
Analyse business performance and decisions, identify patterns and trends, and define and develop KPIs and other measurement tools.
Establish strong communication channels and build excellent working relationships with diverse stakeholders like Product, Marketing, Data, and R&D teams.
Provide stakeholders with actionable recommendations, insights, and conclusions.
Collaborate closely with stakeholders to create and enhance personalized user journeys, improve user segmentation, and boost conversion rates.
Dig into users' flows to understand their behavior and journey, and find places we can improve the flow for better conversion.
Design and execute A/B experiments and KPIs, gaining a deep understanding of your domain through both quantitative and qualitative analyses.

We are looking for a Business Data Analyst to join our team.

Data Analysis: Dive deep into our game's data to uncover valuable insights, patterns, and trends. Your analyses will provide the foundation for strategic decisions.
Recommendations and Insights: Transform your data findings into actionable recommendations and conclusive insights. Your input will guide the development of in-game features, the optimization of our game's economy, and the shaping of our future product roadmap.
Collaboration: Collaborate closely with various departments within the company. Your insights will be instrumental in creating better gaming experiences, enhancing monetization strategies, and improving player retention.
Automated Reporting: Develop automated dashboards and reports to ensure that key business metrics and player experiences are readily available for the entire team. These tools will facilitate data-driven decision-making across the company.

Our flagship game, Dice Dreams, is a global sensation and a top-100 grossing hit, while our upcoming game, Domino Dreams, is on track to follow in its footsteps.

Headquarters are in Tel Aviv, and our staff has expanded to include numerous skilled, devoted, and ambitious individuals.

Our plans for the future are even more fascinating. If you'd like to be a part of our journey, please take a look at the job description below.

What will you do in SuperPlay?
Design, develop, implement and support robust and scalable end-to-end BI solutions to improve business analysis capabilities
Own the data pipeline! Understand the data behavior including business knowledge, methodology and architecture
Serve as a key player in the Data team, working closely with cross-organizational teams (R&D, Product, Finance and more) to understand business objectives and provide analytical support for strategic initiatives
Proactively identify opportunities for process optimization