דרושים » מוצר » One of the Big Five Tech Companies is looking for Product & data Analyst!

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

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.

SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

Key Responsibilities:

Leverage multiple massive and complex data sets to identify patterns, trends, opportunities and threats to the product.

Use advanced analytics, data mining, BI and statistical tools, along with critical and strategic thinking to execute top-notch analyses to drive the product growth.

Translate AB Tests, business and strategic questions into structured analysis method and accordingly plan and execute the most suitable approach, technique, solution and lead to actionable recommendations that will optimize the game performance.

Consistently monitor the product KPIs to ensure its health and drive the product focus.

Work closely with the Product, Monetization and Economy departments and deliver valuable analytics outputs to support decision making.

Plan, develop and maintain reports for different needs and departments, including senior management.

Own and lead multiple projects simultaneously in a dynamic and results-oriented environment.

Supersonic is looking for an experienced, data-driven, and highly motivated BI Developer to join our data team. The ideal candidate is an independent, analytical thinker with strong data modeling and engineering skills. In this role, you will help transform billions of daily events into valuable insights, impactful dashboards, and critical business intelligence that drive strategic decision-making
What you'll be doing
Design, develop, and maintain analytics products and BI solutions.
Work with various relational and non-relational databases, including Snowflake, Redshift, MySQL, and more.
Develop and optimize ETL processes using Airflow.
Create data visualizations and dashboards using Tableau, Redash, and Imply.
Ensure the integrity and accuracy of reported data.

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.

Own the design of data models that transform raw data into actionable insights, and define their strategic use to inform decisions that fuel growth and optimize marketing strategies

Leverage technical skills to work with vast amounts of data, establish measurement frameworks, and analyze results to align activities with north star objectives and identify areas for growth

Conduct funnel and behavioral analyses, research key metrics, and extract actionable insights to enhance user journeys and uncover new opportunities

Collaborate with teams across Marketing and Wix to understand business needs, translate them into data solutions, and align efforts with strategic goals

Create and execute A/B tests, evaluate results with statistical rigor, and provide deeper insights from detailed analysis to inform ongoing optimization

Build automated tools, design dashboards, and empower stakeholders to track and understand key metrics, making data both accessible and actionable for strategic decision-making

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