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Were growing and looking to hire a Data Team Leader who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking a Data Team Leader with strong technical expertise and a flair for innovation to join our dynamic Data Science and Analytics group. You will play a key role in advancing solution by crafting and sustaining the data collection infrastructures, including cutting-edge LLM data pipelines and web collection frameworks, along with data alliances.
This role requires a visionary leader who is both hands-on and proactive, able to collaborate closely with analysts, data scientists, and product teams to devise scalable solutions. Your mission will be to ensure data reliability and to drive the creation and maintenance of high-scale data collection systems, manage data alliances, and uphold governance within our data collection infrastructure.
Responsibilities:
As Data Team Leader, Your impact will be:
Leading and scaling a team of talented LLM engineers, network analysts, and web scrapers to drive core data initiatives.
Fostering a culture of innovationpromoting continuous learning and high engineering standards.
Defining data collection strategies aligned with business KPIs and ensuring measurable impact.
Maintaining and evolving our data infrastructure, with a strong focus on automation and efficiency.
Working closely with backend developers, PMs, data scientists, analysts, and external data partners to design and deliver robust data solutions.
Integrating and managing data flows across various sources and systems.
Taking ownership of data alliances, budgets, and overall data strategy.

Were looking for an experienced data engineer to join our team and help lead the development of our data platform. If youre passionate about big data and love solving complex data problems at scale, come join the team!
What you'll do:
Take a leading part in the companys data strategy, designing and building data flows and data pipelines from scratch
Maintain and improve existing data pipelines and aggregation processes ingesting petabytes of data on a daily basis
Work closely with our data analysts, data scientists and engineering teams to define and optimize ways we use our data
Be the go-to person for every data related issue, assisting most teams within R&D.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

Senior Security Data Analyst Client Side Protection
Join our Code Defender team as a Security Data Analyst, where you'll have ownership over the product's detection framework and lead data-driven processes to enhance and refine our security capabilities. Code Defenders mission is to detect and defend against client-side JavaScript threats like Magecart attacks, while helping our customers stay compliant with evolving security and privacy standards. This role requires a proactive and analytical professional dedicated to advancing Code Defenders detection infrastructure and metrics.
What Youll Do:
Detection Framework Ownership: Own and continuously evolve Code Defenders detection framework, leveraging data-driven processes to maximize detection accuracy and efficiency.
KPIs Dashboards Development: Design, develop, and maintain KPIs and dashboards that showcase Code Defenders performance and inform product strategy.
Detection Mechanism Innovation: Research, design, and enhance detection mechanisms to stay ahead of emerging client-side threats.
Cross-Team Collaboration: Work closely with the technical research and development teams to support end-to-end product improvements and drive a unified approach to detection enhancement.

The Account Defender team at our company is responsible for safeguarding user accounts across the internet by identifying and mitigating fraudulent activities post-login, including synthetic account creation, unauthorized account access (ATO), and coordinated malicious behavior.
We combine large-scale behavioral data with detection logic to stop sophisticated actors and protect real users.
Were looking for a Senior Data Scientist to join our team and take a key role in shaping detection strategies, researching behavioral signals, and developing models that power our companys real-time fraud defenses.
This is a high-impact role that involves working closely with other researchers, data analysts, product managers, and engineers to build, deploy, and iterate on fraud detection capabilities at scale.
What you'll do:
Lead end-to-end research projects to detect fake users and account takeovers from exploring behavioral patterns and validating hypotheses to deploying logic in production and evaluating impact.
Design and implement detection logic and features based on large-scale behavioral signals and fraud patterns.
Analyze real-world traffic to surface anomalies and iterate on detection strategies that improve precision and coverage.
Work closely with Product and Engineering to integrate solutions into production systems and influence roadmap decisions.
Help shape the teams detection methodologies, tooling, and best practices for scalable, real-time fraud mitigation.

Senior Security Data Analyst Client Side Protection
Join our Code Defender team as a Security Data Analyst, where you'll have ownership over the product's detection framework and lead data-driven processes to enhance and refine our security capabilities. Code Defenders mission is to detect and defend against client-side JavaScript threats like Magecart attacks, while helping our customers stay compliant with evolving security and privacy standards. This role requires a proactive and analytical professional dedicated to advancing Code Defenders detection infrastructure and metrics.
What Youll Do:
Detection Framework Ownership: Own and continuously evolve Code Defenders detection framework, leveraging data-driven processes to maximize detection accuracy and efficiency.
KPIs Dashboards Development: Design, develop, and maintain KPIs and dashboards that showcase Code Defenders performance and inform product strategy.
Detection Mechanism Innovation: Research, design, and enhance detection mechanisms to stay ahead of emerging client-side threats.
Cross-Team Collaboration: Work closely with the technical research and development teams to support end-to-end product improvements and drive a unified approach to detection enhancement.

We are looking for a AI Tech Lead.
As a AI Tech Lead, youll be at the forefront of innovation, crafting and deploying AI features that revolutionize our video SaaS products. Imagine collaborating with brilliant minds across engineering, product, and design teams, bringing your AI-driven solutions to life and transforming user experiences and operational efficiencies. If youre passionate about data science, machine learning, and AI technologies, and thrive on turning complex data insights into groundbreaking product enhancements, this is the perfect opportunity for you!
The day-to-day:
Develop and implement AI models and algorithms to enhance video SaaS products.
Collaborate with product managers, engineers, and designers to integrate AI features seamlessly into the product.
Analyze large datasets to extract actionable insights and drive data-informed decisions.
Build predictive models to improve user experience, engagement, and retention.
Design and conduct experiments to validate the impact of AI features on product performance.
Continuously monitor and optimize AI models in production to ensure high performance and accuracy.
Stay updated with the latest advancements in AI and machine learning to bring innovative solutions .
Communicate findings and recommendations to stakeholders in a clear and concise manner.

We are looking for a highly skilled Senior Data Analyst with strong technical expertise and a passion for analyzing and optimizing mobile app performance. The ideal candidate will have extensive experience in data analysis, A/B testing, and working with causality models to drive actionable insights.
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities:
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

Required Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Required Director, Analytics Risk & Fraud
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

Required Data Science Team Lead
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Science Team Lead your leadership and expertise will progress our AI vision and strategy. This role demands a strong background in mathematics and statistics. You will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems at a high s
Responsibilities:
Be a technical leader of data scientists, with substantial scope, impact, and visibility. Mentoring and providing guidance and support to foster their growth and success.
Work with management and partner teams to design and implement key results for the companys most strategic initiatives.
Own the full data science lifecycle, including problem definition, data collection, model development, evaluation, deployment, and monitoring.
Autonomously find solutions to complex data science problems, with potentially non-trivial solutions, and understand the data generation process and challenges with the data.

We are seeking a highly experienced VP Data to lead the companys data development efforts in building its core technology.
As the VP Data, you will be at the forefront of our innovative efforts, reporting directly to the CTO. The role requires strong technical understanding and strategic thinking. This will include hiring and managing a team of data analysts, data engineers, data scientists .
If you are a highly motivated, organized, independent, self-starter who enjoys working in a dynamic, fast-paced environment, where you want to be!
RESPONSIBILITIES:
Establish and maintain data governance frameworks and best practices to ensure data quality, accuracy, and reliability across all systems
Guide the implementation of data science and ML projects from ideation to production
Direct the evolution of BI visualization platforms (Tableau, Looker Studio)
Develop and articulate a clear data vision and strategy that aligns with overall business objectives.
Foster a culture of collaboration, and continuous improvement within the data team.
Provide guidance and support to team members to help them achieve their professional goals and deliver exceptional results.
Collaborate closely with engineering, growth, finance, and other cross-functional teams to ensure successful data deliveries and vision alignment.
Communicate data vision, strategy, and progress to key stakeholders, including the executive team, board members, and external partners.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.

we are looking for a Lead Data Scientist
How will you make an impact with us?

Build the data capability for this new, exciting business from the ground up. As the day-one employee, you have the ability to own and shape the strategy for how data is used in our Sweeps division.

Hands-on delivery of rich insights, a visualisation suite for the whole organisation with direct exposure to the General Manager and C-Suite.

Use data analytics to track KPIs, player behavior, spending patterns, and overall trends. Use these insights to adjust strategies, achieve targets, and inform strategic decisions that optimize organisation-wide KPIs.

Design and deliver data science models that predict revenue growth and player engagement in addition to models that focus on creating the best player experience through personalised recommendations for content matching, player networking, and offer optimisation.

Continuously measure, evaluate and improve the data and analytics ecosystem to ensure that the strategies of key stakeholders in Marketing, Economy, Player Services, and Product Design are supported through data driven insight generation and modelling.

Develop and maintain strong relationships with Stakeholders across the organisation, work closely with other departments (marketing, product development) to align high-value data initiatives with overall company goals.

Provide advisory services within the organisation around how data and analytics can be used to achieve goals.