• Develop, analyze, evaluate, and deliver actionable analytics that inform key supply chain decisions, optimize performance, and support the successful execution of strategic initiatives • Lead the development, optimization, and continuous improvement of databases, data pipelines, and analytics infrastructure to ensure data integrity, accessibility, and performance • Own the design of Power BI dashboard to support the business needs and the ability to build tabular and/or visualization reports as needed • Develop, implement, and maintain databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality with data from primary or secondary data sources. • Lead the identification, analysis, and interpretation of trends or patterns in complex data sets using statistical techniques • Perform extensive data validation/quality assurance analysis within large datasets • Share compelling, insightful storytelling so the business results/needs are understood

• Define and build predictive models from scratch, starting with: • Churn prediction — identify clients at risk of reducing activity or withdrawing assets, early enough for the sales team to act • Upsell / cross-sell propensity — score clients by their likelihood to increase assets under custody, and surface the right opportunities • Client Lifetime Value (CLV) — estimate forward-looking client value to guide resource allocation and relationship management prioritization • Own the full modeling lifecycle: • Work with raw trading, transactional, and behavioral data from our data warehouse • Define target variables and operationalize business concepts (e.g., what constitutes "churn" in a brokerage context) into measurable ML targets • Engineer features from client activity, trading patterns, market conditions, and engagement signals • Select, train, validate, and iterate on models — starting simple, increasing complexity where it earns its keep • Design monitoring for model performance, data drift, and degradation over time • Deliver daily client-level scores that integrate into CRM workflows and sales processes • Bridge data science and business: • Translate model outputs into actionable insights for non-technical sales managers • Work with sales leadership to design interventions around model predictions • Present results, assumptions, limitations, and recommendations to senior stakeholders.

• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously • Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible • Partnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action • Improving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementality • Influencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty • Mentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices • Partnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling • Integrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity

Role Description We are recruiting a Lead Data Scientist – Healthcare Analytics (m/f) to strengthen our team in USA working remotely. - Lead the evolution of data-driven healthcare products by identifying opportunities to enhance algorithms. - Guide end-to-end model development and translate outputs into actionable insights that improve patient outcomes. - Collaborate closely with cross-functional teams and health plan stakeholders to align product capabilities with business needs. - Establish frameworks to measure and continuously improve performance. - Drive product implementation and client success by building strong partnerships, leading deployments, and ensuring adoption across clients. - Act as a strategic advisor, helping customers translate insights into effective interventions. - Optimize outcomes and scale impact through continuous improvement and measurable business results. Qualifications - Bachelor's degree in Computer Science, Informatics, Information Systems, or a related quantitative field. - Minimum of 5 years of hands-on experience in data science, machine learning, and AI-driven product development. - Minimum of 5 years of experience working with teams across health plans, health systems, or similar domains (e.g., pharmacy management, population health, HEOR, finance, actuarial, risk management, or product) to identify problems solvable through data and drive analytics adoption. - Minimum of 5 years of experience within health plans, PBMs, health systems, pharmacies, and/or digital health organizations. - Minimum of 3 years of experience leading analytics product development, implementation, or client transformation initiatives. - Minimum of 2 years of experience in pharmacy and/or medical drug benefit management, with a strong understanding of healthcare economics. - Excellent verbal and written communication skills, with the ability to translate complex technical concepts for non-technical audiences. - Familiarity with the digital health product landscape across health plans, pharma, and PBMs. - Previous startup experience is a plus. - Fluent in English (mandatory). Benefits - Flexibility in the work regime (remote). - Regular follow-up plan. - Participation in projects with innovative technology and an international dimension. - Remuneration compatible with demonstrated experience, health insurance, and life insurance. - Birthday day and Referral Award. Company Description Movilges IT Consulting has more than 30 years of experience in the Spanish market, specializing in Logistics, Mobility, and IT, offering consultancy services, application development, and system maintenance. - In Portugal, we are present in different sectors, such as technology, health, public administration, energy, services, banking, and insurance.