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We are looking for a Research Analytics Team Lead to join our Core Analytics group, and lead our soft similarity detection team - the very heart of our real-time precision. Fighting sophisticated fraud and detecting, out of billions of identities, the fraudulent ones that are masked as legitimate using multiple data and cyber manipulations.
To succeed in this challenge, you will lead a group of talented researchers, and guide their development as individuals and a team. to lead and formulate the roadmap and KPIs to succeed in this difficult challenge.
What youll be doing:
Personal and professional management of a team of analysts and researchers building core parts of our real-time decision system.
Setting the team's quarterly work plans and reporting on execution.
Hold the responsibility for meeting the yearly goals set for their professional domain.
Assign domain responsibilities to people in the team based on their experience, abilities, and desire for growth. Consistently share information that can enrich others knowledge and skills.
Responsible for employees' personal development in accordance with the career ladders - hold meaningful, effective, and consistent 1:1s with team members, and own their Feedback Review process.
Own how the team celebrates success together and learn from mistakes (BetterNext) in a safe manner, and promote visibility of the teams achievements across the org.

Our company is one of the world's fastest-growing mobile game companies, providing entertainment to millions of active users across the universe.
The company is headquartered in the heart of Tel Aviv.
We're looking for an experienced Big Data Team Leader to join our growing R&D team.
As a Big Data Team Leader, you'll lead a team of talented engineers and work on a massive data processing pipeline while ingesting over a billion daily events from multiple sources, create the next generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Lead and mentor a team of talented data engineers.
Own projects from initial discussions to release including data exploration, architecture design, benchmark of new technologies and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data related issues.

We are looking for a passionate and experienced Data Analytics Team Lead to join our dynamic data group.
You'll be a leader who thrives on both in depth data analysis and guiding a high performing team. By collaborating with leaders across the organization, you'll drive impactful data driven insights.
Responsibilities:
Data Analysis: Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Marketing, Sales, R&D and other teams; Develop and refine metrics and KPIs to effectively measure performance and impact of initiatives
Dashboards: Lead the Implementation & maintenance of dashboards for self service analytics and reporting capabilities
Team Leadership: Manage a data analyst team, including hiring, training, and performance development.
Analytics Guild Leader: Play a leading role in building the capability of a geographically distributed analytics team, bringing significant expertise, and actively coaching and mentoring others to increase overall analytics domain impact
Stakeholder Management: Lead the engagement for Data & Analytics with business leaders to identify and prioritize analytics projects and initiatives, as well as define business requirements and specifications; Balance handling ad hoc requests while also driving larger projects forward.
Collaboration: Collaborate seamlessly with BI Dev & Data Engineering teams to ensure data sources are accessible and well organized
Innovation: Research and evaluate new data sources, technologies, and methodologies, and implement best practices and innovations in analytics

Were looking for an Big Data Team Manager to design, code, and lead our data ingestion services, handling millions of requests per minute over hundreds of servers that are consuming billions of events per day.
This role will report to the R&D Director of Data Collection.
As an Big Data Team Manager you will have the opportunity to lead a group of talented engineers, perform hands-on work and own our raw data ingestion pipeline end-to-end. Your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.
You will impact the work of these engineers by guiding on best practices, challenging their designs, developing their professional skills and managing them. You will facilitate the tools and understand the needs of your people to bring the best of them.
So, what will you be doing all day?
Your role as leader of the Ingest Data Collection team means your daily responsibilities may include:
Lead (hands on), mentor & inspire a team of talented engineers.
Design, code and manage end-to-end our data ingestion pipelines, both online and offline.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead designs & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

we are seeking a highly skilled Delivery Manager to oversee and manage our customer engagements around data deliveries.
The ideal candidate will ensure that all customer deliveries happen on time and with high quality both today and in the future.
This role involves close collaboration with Account Executives (AEs), Customer Success (CS), R&D, and Operations teams to execute and improve delivery processes.
Responsibilities:
Manage Deliveries: Oversee the entire delivery process for customer engagements, ensuring timely and high-quality outcomes. This includes data deliveries and onboarding customers onto our SaaS platform. Lead the process from early-stage G2M alignment with customers through to production deployments and data handover.
Manage R&D and Ops execution: Manage the agile work required to onboard customers and provide them with a best-in-class experience. Constantly identify and resolve roadblocks to ensure smooth delivery.
Cross-team collaboration: Work closely with AEs and CS to understand customer needs and enhance communication strategies. Collaborate with R&D and Ops teams, particularly DataOps and Data QA, to execute successful deliveries.
Process Improvement: Identify bottlenecks in current processes and suggest improvements. Drive changes in collaboration with Product and other functions.
Future Planning: Develop processes to understand mid and long-term customer engagements. Ensure resources are allocated appropriately and manage plans to meet future demands.
Stakeholder Communication: Maintain clear communication with all stakeholders, providing updates on delivery status, challenges, and improvements.

Were seeking an experienced and visionary DataOps Team Lead to manage our extensive team responsible for data operations and services. As the DataOps Team Lead, you will play a pivotal role in enabling critical deliveries to our clients through data quality assurance, data tagging and labeling, data analytics, and more.
Responsibilities:
Team Leadership & Resource Management: Manage the work of 4-7 diverse DataOps personnel (in both a local and a second global site), including annotators and analysts, outsourced work from external companies, team timelines, resource allocation, run the team sprints, and work with stakeholders to understand needs and secure both contributions to research projects and successful deliveries to clients.
Business Understanding: Maintain team alignment on company goals, and ensure team operations and deliveries meet the business requirements.
Data Quality Assurance Responsibility: Oversee (and be accountable for) the work of our DQA Lead, which ensures the quality of all customer facing data and deliverables, company wide. Drive execution on scale, using processes and tools instated for the purpose.
Process understanding and characterization: Define new manual, analytical and technical DataOps-owned components and services to answer (in-house) customer needs. Also, alter or expand existing services/components (one-time or permanently)
Develop & Implement New Tools and Infra: Define new systems and features required by your team, and work with engineers and data scientists to lead their implementation and adoption. Drive use of analytical tools to improve work processes and the quality of deliverables.
Employee development: Grow, challenge and mentor a team of diverse individuals.
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We are looking for a talented Data Science Team Lead who will help design and manage data-driven strategies and algorithms within the companys core acquisition engine and deploy them end-to-end.
We hypothesize theories and prove them in production within hours (instant data gratification!). You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.
If you enjoy a high level of autonomy in a fast-paced business and work environment within a growing organization - take a seat!
What you will do:
Lead and mentor a team of extremely talented and success-hungry Data Scientists
Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
Identify and propose data science and algorithmic solutions for various product initiatives.
Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance.
Partner with other departments (i.e. Management, R&D, Product) to support decision making.

As our Data Engineering Team Leader, you will manage a Data Engineering team that deals with real Big Data, and become the owner and gatekeeper of all data and data flows within the company.
You will bring data ingenuity and technological excellence while gaining a deep business understanding.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.
What Youll Do:
Lead and manage our data engineering team, guiding them to deliver exceptional results and fostering professional growth.
Implement robust, reliable and scalable data pipelines and data architecture
Own and develop DWH (Petabytes of data!)
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring
Collaborate with cross-functional teams to define, design, and ship new features
Continuously discover, evaluate, and implement new technologies to maximize development efficiency
Design and build solutions that optimize our technology products
Develop tailormade solutions as part of our data pipelines
Lead complex Big Data projects and build data platforms from scratch
Drive continuous improvement initiatives to enhance team productivity and efficiency
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints
Design data profiling to identify anomalies and maintain data integrity
Work in a results-driven, high-paced, rewarding environment

We are seeking a middle/senior Database Developer to design stable and reliable databases, according to our companys needs. You will be responsible for developing, testing, improving, and maintaining new and existing databases to help users retrieve data effectively.
What You'll Do
Design stable, reliable, and effective databases
Develop database structures, stored procedures, functions, reports, scripts, etc.
Optimize and maintain legacy systems
Modify databases according to requests and perform tests
Solve database performance, business logic issues
Liaise with developers to improve applications and establish best practices
Gather user and product requirements and identify new features
Provide data management support to users
Ensure all database logic meets company and performance requirements
Research and suggest new database products, services, and protocols