• Analyze conversion across Medicare beneficiary acquisition funnel • Investigate drop-off points and identify high-conversion sources • Partner with operations to analyze call-center metrics • Examine post-enrollment retention and identify churn drivers • Translate business goals into structured problems and test plans • Build margin and unit-economics models for various metrics • Design scalable experimentation frameworks

Role Description The Data Science Team within Customer Success is highly engaged with our clients, utilizing critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. They also work cross-functionally with other departments (e.g., Research, Product, Marketing) to deliver best-in-class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Your Day to Day: - Understanding the data which our clients provide to us; - Cleaning that data and validating that it is correct; - Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc.; - Iteratively computing features and tuning parameters to improve the quality of the model; - Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; - Working together with key stakeholders (data scientists, engineers, risk managers) from our clients; - Collaborating with other parts of the organization (Product, Research, etc.) to improve processes, best practices, and tooling. Qualifications - MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or related field; - Proficient in Machine Learning (training and testing, avoiding overfit, etc.); - Knowledge of Big Data technologies such as Spark, Hadoop, and related; - Proficiency in bash, Python, and either Java or Scala; - Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); - Knowledge of statistics or data visualization is a plus; - Knowledge of tree-based algorithms (Random Forests, XGBoost, LGBM) is a plus; - Knowledge of Deep Learning algorithms is a plus; - Ability to communicate your findings in a clear way. Benefits - Immersion in our brand with training, connections, and one-on-one time with your manager; - Opportunity to shadow colleagues virtually or onsite; - Access to extensive information about Feedzai and the team; - Collaboration on current projects and work. Company Description Feedzai is the world’s first RiskOps platform for financial risk management, safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date, with a valuation of $2 billion, protecting 1 billion consumers and 90 billion transactions each year.

Role Description The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Your Day to Day: - Understanding the data which our clients provide to us; - Cleaning that data and validating that it is correct; - Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc; - Iteratively computing features and tuning parameters to improve the quality of the model; - Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; - Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; - Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling. Qualifications - MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; - Proficient in Machine Learning (training and testing, avoiding overfit, etc.); - Knowledge of Big Data technologies such as Spark, Hadoop and related; - Proficiency in bash, Python and either Java or Scala; - Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); - Knowledge of statistics or data visualization is a plus; - Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; - Knowledge of Deep Learning algorithms is a plus; - Ability to communicate your findings in a clear way. Benefits - You will be immersed in our brand with training, connections, and one-on-one time with your manager; - You may shadow your colleagues virtually or onsite at an office depending on where you work; - You will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team; - You will start working on projects and collaborating on work currently being done. Company Description Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

Title: Lead Clinical Data Manager (Remote) Location: Remote, United States of America time type Full time job requisition id R1537868 Job Description: IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume considered for Lead Data Manager opportunities across multiple teams - allowing us to match you with the best-fit project and client environment for your experience and interests! IQVIA is seeking experienced Clinical Data Management Leads to oversee end-to-end data management delivery for global clinical trials. You’ll ensure quality, accuracy, and compliance while leading cross-functional teams that help bring new therapies to life. This is a remote/WFH position with all necessary equipment provided. What You’ll Do - Lead data management for complex, global clinical trials from study setup to database lock. - Serve as the main client contact for all data management deliverables. - Oversee SAE, PK, and external data reconciliation and database deployment. - Manage timelines, budgets, and resource allocation to meet customer expectations. - Mentor junior data management staff and promote best practices. - Drive process improvements and ensure regulatory and SOP compliance. Who We’re Looking For Ideal candidates will have.... - Bachelor’s degree in life sciences, health, clinical, biological, or mathematical field. - No less than 7 years of direct clinical data management experience - 5+ years in a Lead Clinical Data Management role REQUIRED. - Your previous roles/job titles may include Clinical Data Manager, Senior Clinical Data Manager, Lead Data Manager, Principal Data Manager, and/or Data Management Project Manager. - Proven success managing large global studies (1000+ patients). - Expertise with Medidata Rave, Oracle InForm, or similar EDC systems. - Strong understanding of GCP, ICH, and clinical research processes. - Excellent communication and leadership skills. - An equivalent combination of education, training, and experience may be considered. - Equivalent combination of education and experience. What IQVIA Offers - Fully remote role – company equipment provided - Competitive salary and performance-based incentives - Medical, dental, and vision coverage beginning your first day of employment - 401(k) with company match, life insurance, and discretionary PTO - Career growth and learning opportunities through mentoring and internal mobility - Inclusive, global culture focused on innovation and collaboration Apply now to join IQVIA, where your expertise shapes the future of data-driven healthcare! IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $68,500.00 - $217,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.