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We are looking for an exceptional Data Engineering Team Lead who is passionate about architecting, building, and maintaining data infrastructure from the ground up.
Responsibilities:
Build and maintain the companys central data platform.
Own the data architecture: ETL, Pipelines, Databases, Data integrations, and more.
Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers and product managers.
Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
Provide expert-level technical leadership and mentoring to the team.
Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
Establish data infrastructure for the Data Science team.

We are seeking an experienced and motivated Analytics Team Lead to join our dynamic team in LATAM. The Analytics team is responsible for the Product and Marketing analytics domains, driving data-driven insights that optimize our sports, casino, and customer experience (CX) offerings and shaping our marketing strategies for acquisition and retention and driving business growth through data-driven insights. You will work closely with cross-functional teams to influence product strategy, enhance user experiences and optimize marketing campaigns effectively .
Responsibilities:
Manage and lead a team of analysts, fostering a collaborative and innovative work environment. Provide mentorship, coaching, and professional development opportunities for team members. Set clear goals and expectations, and regularly assess team performance.
Develop and execute a comprehensive analytics strategy aligned with business objectives. Collaborate with stakeholders to define key performance indicators (KPIs) and metrics, Identify opportunities for improving data collection, analysis, and reporting processes.
Conduct in-depth analysis of user behavior, trends, and performance data to identify opportunities and challenges. Analyze marketing campaign performance, customer behavior, and market trends to provide actionable insights to stakeholders. conduct deep-dive analysis to optimize marketing initiatives. Translate data findings into actionable insights and recommendations to improve product offerings.
Work closely with product managers to influence product roadmap decisions and localized configurations based on data-driven insights. Monitor product performance and make data-backed recommendations for enhancements and optimizations.
Create and maintain comprehensive dashboards and reports to track product performance and communicate insights to stakeholders. Ensure data accuracy and integrity in reporting processes.
Collaborate with marketing, development, and customer experience teams to align analytics efforts with broader business goals. Provide data-driven support for A/B testing, user segmentation, and customer journey analysis.
Stay current with industry trends, emerging technologies, and best practices in product analytics. Identify opportunities to enhance data collection methods and tools.

A global sports technology hub offering multiple solutions to millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are looking for a talented and experienced data ENGINEER to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
* Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
* Monitor and optimize data pipelines for performance, reliability, and data quality.
* Implement and manage data Storage solutions, including relational databases, data warehouses, and NoSQL databases.
* Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
* Identify and resolve data quality issues, including data cleansing, standardization, and validation.
* Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
* Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
* Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.

Required Senior Data Analyst
If youre a dynamic and high energy person with a strong background in data analytics, this is the place for you! ‍Were looking for a talented Data Analyst to join our team and take our data driven culture to the next level. Youll have the opportunity to work on real life business cases, partner with stakeholders across all departments, and make a meaningful impact on our business.
‍In this role you will -
Build data methodologies and tools in order to develop product outputs and automations, by researching large data sets and improving our data accessibility
Provide top notch analysis, insights, and recommendations to the product team
Partner with product managers to develop high quality queries to grow our offerings and capabilities
Perform research on advertising algorithms and provide suggestions for applying them in the product data logic
Enhance the products statistical significance by developing and improving our scoring methodology to improve our automatic opportunity recommendations engine
Research data to validate the potential of initiatives while working closely with our data scientists and engineers to translate them into production code
Check the data feasibility of product managers initiatives
Produce scalable semi/fully automated queries to extract the needed value points for the product or other client deliverables
Apply critical thinking in evaluating the analytical outputs and surface gaps.

We are looking for a generalist to join our growing Analytics group.
We aim for a passionate individual who can influence both strategy and decision-making through data analysis and the creation of new analytical tools to facilitate self-serve analytics by our customers.
Your responsibilities will range from measurement strategy & KPIs, building data structure, creating actionable business insights, and identifying new opportunities for growth, cost-savings, efficiency, etc. You will collaborate with employees across the company, in all levels of seniority (individual contributors to senior leadership) and across departments (product, finance, marketing, development, etc.)
You must be comfortable with being both strategic and hands-on, operating in a hyper-growth environment filled with ambiguity, and have no fear of failing and getting back on your feet again.
About The Role:
Create cutting-edge measurement strategy and north-star KPIs for marketing, client-facing teams, and product.
Take an active part in influencing our strategy and collaborate to build new strategic initiatives with different departments in the organization.
Leverage large amounts of data to drive key business decisions and business guidance, while creating the right processes and tools for data/insights consumption, monitoring, and reporting in the marketing department.
Communicate business insights to senior management and be a trusted partner to ensure program success and data-driven decisions.
Applying your expertise in analysis, data visualization, and data mining to tell the story behind the numbers and derive actionable insights for management

We are looking for an experienced product analyst to join our growing R&D site in TLV!
You will find great people, outstanding products, and a meaningful mission. Come see why we have over 800 5-star reviews from happy customers!
What your day is like:
Collaborate with the product team to provide insights and build reusable or ad hoc data views that influence product strategy, design, and development.
Conduct deep-dive analyses to understand users pain points and their "aha" moments, identifying new opportunities and strategic data needs.
Design, develop, and maintain dashboards and reports using SQL or scripting languages, offering real-time visibility into product performance.
Develop and evaluate the success metrics of product launches and the outcomes of A/B tests.
Monitor product and system performance during and after product launches.
Collaborate with software and data engineers to ensure data quality, completeness, and consistency.
Provide quality checks for analytics events and suggestions to enhance product insights.
Participate in agile software development, including design, implementation, and deployment.

We are looking for an outstanding Senior Data Scientist to join the team and revolutionize how investment is done.
Youll be harnessing the power of machine learning models and advanced mathematical techniques to develop the first-ever real-time, no-code corporate credit score platform.
You Will:
Research of state of the art generative AI models as well as classical machine learning models.
Define data collection plan and requirements
Build models from POC to production-ready
Work closely with ML engineering team driving production release and performance monitoring
Provide guidance to the product team and user community to increase product effectiveness

Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
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

Technology with a purpose. At BeeHero, we believe that our highest calling is to leverage the power of technology to solve the important problems that humanity faces today. We are committed to making a positive impact on the world by applying our ideas and vision to create a more effective pollination solution. BeeHero is a data-driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources.

Responsibilities:
We're looking for a dedicated Senior Data Scientist to join our office in Tel Aviv to be a key player in BeeHero's success. On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more. You'll be alternating between individual projects and team efforts, and you will: Plan bee-hive and crop-pollination in-field data acquisition Build predictive models and algorithms from this data Develop processes and tools to monitor and analyze model performance and data accuracy. Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

Were looking for an experienced Analytics Team Leader to join our team.
As the Analytics Lead, you will lead a team of skilled analysts. You will have a crucial role in monitoring, analyzing and optimizing performance metrics, while working closely with product, marketing and monetization teams. Your ability to derive actionable insights and guide data-driven decisions will be essential to the success of our projects.
If you have a Passion for Gaming and working in a dynamic fast fast-paced environment, then this position is for you!
Heres what we need, up for the challenge?
Lead a team of Analysts, inducing hiring and training team members.
Develop processes and best practices for breaking down questions, perform analysis and report findings to the key stakeholders
Analyzing large, complex data sets representing the behavior of millions of players to address strategic and operational business questions
Monitor live games and provide insights on player behavior and activities.
Optimization and maximization users monetization
Monitoring, analysis and recommendations on the marketing KPI performance
Data mining, pattern recognition & correlation analysis and insight generation
Definition, measurement and evaluation of AB test
Provide actionable recommendations from game data to shape features, game economy, and future product roadmaps
Be involved in building automated dashboards and reports to facilitate company-wide understanding of business KPIs
Identify and communicate key trends and potential improvements
Collaborate with stakeholders to drive insights that will help produce marketing, monetization and retention improvements.

We're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.

We are looking for a capable, passionate, and experienced Senior Data analyst, with a passion for analyzing large volumes of data and extracting insights for our customers.
What You'll Do:

Full responsibility of data classification engine logics

Creating detection logic for any type of sensitive data

Research and design new approaches of detection using big data and ML algorithms

Develop and implement monitoring tools to ensure the effectiveness of our data classification system, automating KPI evaluation processes.

Data validation and ensure data integrity of the product.

Utilize data analysis techniques to support internal decision-making processes, including research and development efforts, visibility expansions, and data integrations