Top Data Science Jobs in Portugal
The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
The Data Science Director in Model Risk at Capital One will lead a team in using statistical models and advanced technologies. Responsibilities include partnering with data scientists and engineers, building machine learning models, and translating complex analyses into business goals to drive better risk management decisions.
Data Science Manager at Capital One focusing on building customer management valuation models using advanced machine learning solutions. Responsibilities include developing model pipelines, translating solutions into business outcomes, and managing existing model suites.
The Senior Credit Manager / Senior Staff Data Scientist will analyze and evaluate data to develop and propose credit risk strategies and models for various lending products, with a focus on Personal Loans. Responsibilities include implementing underwriting strategies, monitoring portfolio risk trends, and collaborating with cross-functional teams to drive revenue and control risk.
In this role, you'll lead analytical initiatives by employing techniques like machine learning and optimization to address business problems. Responsibilities include managing risks, developing reports and dashboards, collaborating across departments, and delivering presentations on findings to various leadership levels.
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As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
The Senior Technical Curriculum Developer will create engaging technical learning content for customers, including hands-on labs and certification programs. They will collaborate with engineering and product teams, evaluate training needs, improve existing courses, mentor junior members, and utilize SQL and scripting for reports and data handling.
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Data Science Manager will lead the Pricing and Promotion Optimization team at Tiger Analytics, driving product strategies and overseeing roadmap development. Responsibilities involve analytics communication, team leadership, stakeholder collaboration, and market analysis to enhance pricing initiatives for CPG clients.
As a Manager of Data Science, you will lead a team to develop and optimize decision systems and create scalable, data-driven products that drive business outcomes. You'll manage machine learning models and statistical analysis to generate insights and enhance company processes, fostering innovation and mentoring junior team members.
The Principal Decision Scientist will lead and mentor teams by providing high-impact analytics insights and solutions for clients. Responsibility includes optimizing client success with Ibotta platforms, communicating analytical results to enhance client strategies, driving internal projects, and mentoring junior colleagues.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
As a Data Science Analyst Intern, you will use your technical skills to create innovative solutions and work on projects involving machine learning, data engineering, and visualization. The role emphasizes collaboration and delivering impactful solutions for clients, with mentorship opportunities throughout the 10-week program.
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