דרושים » פיתוח תוכנה » Senior Product Data Scientist, Geo Data Science, Waze

As a Product Growth Analyst at Meta, you will help grow products used by billions of people and businesses all over the world across our apps including Facebook, Instagram, WhatsApp and Oculus. The Product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. The role requires using a mix of skills including analysis, creative product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance.

The Growth practice was started right here at Meta, putting you at the forefront of the industry with great opportunity to learn about growth from experts. It is a lean and highly regarded team with a strong and close-knit culture and emphasis on regular sharing of successful strategies, tactics and insights across products. Our team values are to own the outcome, focus on driving sustainable impact, and put team success first. There is great opportunity to be a leader and influence the direction of high-visibility and high-impact initiatives, and to see your work come to life in some of the most widely used apps in the world.

Meta is an equal opportunity employer that provides competitive benefits. Our benefits include generous paid time off, retirement investment plans with employer matching, holistic wellness program including physical and mental health and internal community and mentorship groups.
Product Growth Analyst Responsibilities
Drive long-term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences
Use data to understand trends in user behavior and product usage to influence strategy
Identify opportunities to drive growth and prioritize them to maximize long term growth
Execute on projects by working closely with engineering, product management, data science and other members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results in order to make launch decisions

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
About Intuit & Our Team

Intuits Global Business Solutions Group (GBSG) is focused on empowering small and mid-market businesses (SMBs) by building cutting-edge financial products. B2B bill payment, a high priority hyper-growth new product within Intuit, is redefining how businesses transact by streamlining accounts payable workflows and online B2B bill payments. This rapidly scaling product is poised to be a game-changer for SMBs, helping them manage AP, pay bills to other companies, and manage expenses seamlessly.

The B2B Payments Product Analytics Team plays a crucial role in driving product innovation and decision-making through data. We partner cross-functionally with Product, Engineering, Go-To-Market, Finance, and Commercial teams to enhance customer experiences and accelerate business growth.

About the Role

We are seeking a Senior Manager, Product Analytics to lead a team of 4-5 analysts and spearhead data-driven decision-making for our B2B Network & Payments product. This leader will develop strategic analytics frameworks, guide experimentation, and drive insights that shape the future of B2B payments at Intuit.

Responsibilities
Leadership & Team Development:
Lead, coach, and develop a high-performing team of 4-5 product analysts
Define and execute the teams analytics strategy to support hyper-growth and expansion
Analytics & Strategy:
Define and track key product and business performance metrics, identifying opportunities for growth and optimization.
Drive strategic insights to influence product roadmaps and go-to-market strategies for B2B Payments
Guide team to translate complex data findings into clear insights and actionable business strategies for both technical and non-technical audiences
Cross-Functional Collaboration:
Partner closely with Product, Engineering, Finance, GTM, and Commercial teams to drive data-backed decisions.
Work with data engineering teams to enhance data infrastructure, ensure data quality, and build scalable analytics solutions.
Enforce prioritization of analytics asks to ensure the team is working on most impactful work

We are looking for a strong, hands-on Data Scientist to join our ThreatCloud AI group.

In this role, you will join a R&D team that researches, designs, and develops Check Points Zero Day prevention solution, and provides state of the art AI based prevention of malicious and phishing attempts on a global scale.

This is a unique opportunity for you to gain expertise and experience utilizing vast data collection, and to deliver game changing results in the Cyber Security realm

Key Responsibilities
Join the research and development of new innovative capabilities for cyber security, involving advanced AI and Algorithms.
Quickly iterate on design approaches and POCs based on data-driven research and user feedback.
Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.

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 Full Stack Data Scientist you will be handed with 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

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferences and at leading journals.
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of Check Points strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.
We are looking for an innovative data scientist with NLP expertise, strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about NLP, LLMs, data, security, and real-world problem solving
Responsibilities
As a senior data scientist on our team, you will work closely with other data scientists, security experts, software engineers, and product managers to tackle many different types of problems. You will utilize generative AI tools, anomaly detection algorithms, supervised and unsupervised learning methods, statistical methods, time series analysis, and more, to help customers investigate security incidents and protect their environments. You will be up to date with our customers needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers

As a Senior Data Scientist on our Customer Care team, youll focus on improving our customer care user experience using AI-based technology. You'll develop state-of-the-art LLM-based chatbot solutions and knowledge management systems. In your day-to-day, you will:

Develop and enhance LLM-based chatbot solutions and knowledge management systems

Apply and fine-tune generative AI models to improve user experience and customer care efficiency

Develop models for specific use cases like intent classification, ambiguity detection, retrieval re-ranking, etc

Collaborate with cross-functional teams to integrate AI solutions within existing frameworks

Mentor team members in AI techniques and best practices