• Develops scalable software solutions utilizing statistical, artificial intelligence (AI) and machine-learning (ML) modeling approaches in support of Fraud, Waste, & Abuse (FWA) detection • Identifies, accesses, compiles, and uses internal and external sources of relevant data • Performs research and testing to develop machine learning algorithms and predictive models • Conducts and reviews model training and evaluation • Integrates, tests, tunes, and monitors solutions • Design and develop data models to predict member outcomes or future impact of key member decisions • Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs • Conduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission • Evaluate and design experiments to monitor key metrics and identify improvement opportunities • Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns • Participate in presentations and communicate results of analysis and findings • Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes • Validate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data • Manage multiple projects as assigned • Assist with training Data Analysts.

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes. Estamos en búsqueda de Data Scientist Principales responsabilidades: - Experto en analizar, interpretar y transformar datos en información accionable para la toma de decisiones estratégicas. Combina habilidades en estadística, programación y conocimiento del negocio para desarrollar modelos predictivos, identificar patrones y resolver problemas complejos utilizando datos. Requerimientos: - Experiencia entre 2 a 4 años como Data Scientist - Experiencia con lenguajes de programación como Python, R o Julia. - Conocimiento en herramientas y bibliotecas de aprendizaje automático (TensorFlow, Scikit-learn, PyTorch). - Experiencia en manejo de bases de datos (SQL, NoSQL) y herramientas de big data (Spark, Hadoop). - Competencia en estadística, probabilidad y matemáticas avanzadas. - Habilidades en herramientas de visualización (Tableau, Power BI, matplotlib, Seaborn). - Deseable un posgrado o certificaciones en Ciencia de Datos o campos afines. - Certificaciones recomendadas: Google Data Scientist Professional, Microsoft Certified: Data Scientist Associate o similares. Ofrecemos: - Salario competitivo. - Medicina prepagada. - NEORIS Days (3 días libres). - Fondo de Empleados. - Bonificación por cumplimiento anual. - Bono vacacional. - Herramientas corporativas. - Plataformas de capacitación y entrenamiento. - Trabajo remoto Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS. Manuel Lunahuana (LI-ML2)

• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain. • Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights. • Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models. • Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI. • Drive Adoption: Drive the adoption of strategic and tactical recommendations based on deep product experience and data understanding to maximize our value to consumers. • Ensure Data Quality: Take a keen interest in the collection and quality of underlying data, including overseeing work on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development. • Enable Self-Service: Lead initiatives to enable analytics self-serve capabilities for cross-functional teams.

About us: Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly. Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely. About the team: The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy. As a Senior Data Scientist joining Luno, you would be part of the Data Science team providing high quality insights and data tools to teams across the company. Our current technology stack includes Databricks and Looker. The role in a nutshell: As we accelerate on our mission to upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes. Your mission will be: - Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies - Develop causal models using experiments and observational data to isolate and measure the impact of fee changes - Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail - Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership A little about you: - You are passionate about data science and related disciplines - You have experience being a technical lead or mentor to other Data Scientists - You can leverage data analytics to innovate and create out-of-the-box solutions - You are intellectually curious and have the persistence to find answers to difficult questions - You can diagnose problems using formal problem-solving tools and techniques - You communicate technical concepts to non-experts in simple and helpful terms - You are a team player, enthusiastic about growing and developing others - You can handle uncertain and ambiguous scenarios - You keep abreast of developments and emerging trends in Data Science, and influence what is next for Luno The ideal Lunaut will have: - Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics - Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms - Advanced SQL skills - 5 years + experience in pricing experimentation, data analysis and statistical modelling - Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders - Ability to work independently, as well as within and across teams - Ability to successfully complete projects with large and/or incomplete data sets - Enthusiasm to work in the crypto industry What will really get you noticed: - 5 years' + experience working in a similar role - Proven track record of analysing customer behaviour and translating insights into revenue growth - Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker - Solid knowledge of statistical and machine learning techniques - Experience with productionisng ML applications using a formalised ML Operations architecture - Experience or interest working in crypto or fintech industries Life at Luno: - Remote but reachable work policy gives you the freedom to choose between working from home or the office. - Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave. - Improve body and mind, with excellent private medical insurance - Access to Learnably and our additional learning platforms for your personal and professional development - A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts - 6 months primary care-giver leave - Paw-ternity leave for your furry friend - Free lunch and snacks - 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.