In order to spot fraudulent activities, such as fraudulent registrations, incentive misuse, traffic manipulation, and duplicate or fraudulent client acquisitions, you will keep an eye on CPA campaigns, affiliate activity, and client acquisition channels.

Ensuring data accuracy, interpreting trends, and offering practical insights to enhance organizational decision-making are among the primary responsibilities. By seeing chances to boost productivity, maximize performance, and promote company expansion, the analyst is required to go above and beyond regular reporting.

You will be instrumental in creating the first functional, habit-forming speech interface that can accommodate a billion users as an ML scientist. Our technical team members are in charge of developing infrastructure to manage <500ms LLM inference for millions of requests from all over the world, scaling the personalization of our speech models and LLMs, and experimenting and designing new features for our voice interface.

You will look into and evaluate incidents of suspected onboarding fraud, including the use of high-risk devices or anonymization techniques, account farming, multiple accounts, referral or bonus abuse, and synthetic identities.

Connecting business needs with data-driven insights is a crucial function of the BI Data Analyst. Gaining a thorough understanding of data flow across systems, from its source to its conversion into useful information, is essential for this role.

To assist with the creation and deployment of extensive modern data platforms, business intelligence (BI), and analytics solutions for our clients, our client is looking for a skilled data architect. This position is quite technical and necessitates a deep comprehension of data architecture and modeling principles. Strong analytical, problem-solving, and planning abilities are also required. Along with the drive to succeed in a fast-paced workplace, effective communication an

You will work with actual client quality standards and translate them into exact, verifiable guidelines that LLMs can consistently score. Additionally, you will do trials that move accuracy. Use LangSmith with BigQuery to create and carry out evaluation experiments on sizable, representative datasets, and monitor quality using our performance metrics.

We are seeking adaptable Data Scientists to join us at a critical juncture in our development. There is no "one-size-fits-all" data profile, in our opinion. You will work with a group that values "AI-First" design and development. If a problem needs to be thoroughly debugged more than once, it's time to automate it. We want people who enjoy doing this. While maintaining a focus on business results, we aim for high standards.

The code that drives our production environment will be designed, implemented, scaled, and maintained by you. With genuine creative freedom, you will mold the next generation of our data and backend platform, integrating pipelines, cloud infrastructure, APIs, and self-managed systems to produce quick, dependable, and powerful systems.

We are looking for a data analyst that is passionate about finding growth-promoting insights. This crucial position is for a highly analytical person who will employ in-depth user behavior analysis and sophisticated predictive modeling to directly impact our product, rewards, marketing, and user acquisition efforts.

The entire lifecycle of these data products will be developed and owned by you, including pipeline construction and maintenance, quality control, daily problem solving, and systematization and automation of manual processing stages.

We're looking for an Organic Growth Analyst to help our client-facing strategists execute high-impact SEO and content work. This is an early-career position with opportunities for advancement. You will assist with research, reporting, and execution. You'll discover how to create tactics that increase pipeline and revenue. You'll also have the opportunity to advance to the position of strategist as time goes on.

We are searching for an experienced Data Analyst to work on our Player Care team. The Player Care team is at the forefront of providing our players with excellent customer care while also protecting community integrity by enforcing Fair & Safe Play, increasing moderation efforts, and maintaining operational excellence.

A Database Engineer (DBA L2) with a primary focus on PostgreSQL and secondary knowledge of ClickHouse and MongoDB is what we are seeking. Ensuring the stability, security, and performance of crucial database environments will be your responsibility. You will be instrumental in maintaining the dependability and effectiveness of our data systems by collaborating closely with development teams and senior DBAs.

You will provide actionable insights, analytical solutions, and data-driven information as a data analyst in the fintech product department, enabling strategic decision-making in financial services and core business operations. You will be the team's analytical core, turning complicated datasets into insightful visualizations, creating reliable reporting systems, and making sure that insights are provided promptly and accurately.

You will assist traders in your assigned market team in creating and improving trading strategies. Examine market fundamentals such as supply, demand, price behavior, flows, and market-specific regulatory updates.

Large datasets from market, fundamental, and operational sources will be gathered, cleaned, and organized. Predictive models (such as wind generation and demand) will be developed and validated to assist trading strategies.

To own a European power market stack for our Forward Power desk, we are recruiting a highly commercial Senior Power Market Analyst. You will make connections between the short-term market trends of the upcoming day and Y +3.

We are looking to add a highly skilled and driven Data Scientist to our vibrant team. The chosen applicant will have a strong academic background, a passion for data-driven solutions, and the ability to use advanced analytics, predictive modeling, and the strategic application of generative AI/LLM technologies to drive operational excellence and influence business decisions.

Applying AI models and data science techniques to intricate enterprise datasets will enable you to swiftly prototype intelligent solutions, automate procedures, and find insights. The ideal person is pragmatic, extremely inquisitive, and at ease in uncertainty. Although you don't have to be a production software engineer, you must be technically proficient, considerate, and capable of carrying out worthwhile tasks on your own.

You will provide actionable insights, analytical solutions, and data-driven information as a data analyst in the fintech product department to support strategic decision-making in financial services and core business operations. You will be the team's analytical core, turning complicated datasets into insightful visualizations, creating reliable reporting systems, and making sure that insights are provided accurately and on time. While upholding data integrity and regulatory

You will work on data science and machine learning projects as a data scientist with the goal of enhancing the dynamics of the entire market. This will cover things like enhancing the models that drive customers' primary point of interaction, search. Additionally, you will investigate several models that use ranked Recommendations, Similar things, and other features to assist users in finding new things. To comprehend the needs of the product and investigate potential data an

As a Data Engineer, you are developing and owning the cloud data architecture on the top platforms while utilizing your Python expertise to perform your ETL magic. You are leveraging your data to create storage locations, data pipelines, and multi-use-case connectors to services that operate flawlessly. Excellent international corporations have a competitive advantage because of your extensive experience and commitment.

This position is perfect for someone with exceptional analytical skills, a keen sense of business, and an interest in applying cutting-edge technologies, such as artificial intelligence, to actual business challenges.