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Top Data Science Jobs in Portugal
The AI & GenAI Data Scientist will leverage advanced analytical techniques and programming skills to extract insights from large datasets. Responsibilities include building AI solutions, documenting business processes, collaborating with clients to understand their needs, designing AI architectures, processing data for LLMs, and managing operations of a global team in analytics.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from complex datasets, build AI solutions, collaborate with client teams, and design AI architectures. You will also manage operations of a global analytics team and provide feedback on developed models.
As a Senior Associate Data Scientist at PwC, you will utilize advanced analytics to extract insights from large datasets, develop AI solutions including analytical models, and collaborate with clients to solve complex business problems. Responsibilities include AI architecture design, processing structured and unstructured data, and supporting a global analytics team.
The Senior Associate, Data Scientist - Application Fraud will collaborate with a cross-functional team to develop and implement machine learning models that protect customers from fraud. Responsibilities include analyzing large data sets, applying statistical modeling, and improving customer experiences through innovative solutions.
As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.
The Senior Analytics Engineer II will enhance consumer data analysis by transforming raw data into structured datasets, managing ETL workflows using Fivetran, and optimizing data pipelines into Snowflake. The role includes ensuring data accuracy, collaborating with governance teams, and fostering a learning environment while leading technical initiatives.
The Senior Analytics Engineer II will transform raw data into structured datasets for consumer behavior analysis, lead data ingestion workflows using Fivetran, and design data pipelines using Snowflake and dbt, while ensuring data accuracy and compliance with security regulations.
As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
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As a Director of Data Science, you will lead and expand the Data Science team, focusing on driving data-driven insights through statistical analyses and collaboration with various departments. Your role involves building high-quality dashboards, defining KPIs, and advising on field experiments to support strategic decisions across the organization.
The AI Solution Manager/Senior AI Solution Manager collaborates with business and IT leaders to identify and scope high-impact AI/ML use cases for Fortune 500 clients. They lead cross-functional teams in developing and configuring AI solutions while working closely with sales to expand accounts. Travel to customer sites may be required.
The Director of Analytics will lead the strategy for data-driven decision-making at YouVersion, coach a team of analysts, and provide insights to improve product planning. Responsibilities include project management, maintaining budgets, and leveraging data to guide business strategies.
The Director of Analytics and Decision Support will build the strategy for data-driven insights at YouVersion, leading a team of analysts. Responsibilities include guiding analytical initiatives, overseeing budgeting, and ensuring alignment with departmental goals through effective project management and cross-functional collaboration.
This is a speculative job posting where Recursion invites candidates to submit their resumes for future opportunities in Data Science and Machine Learning, emphasizing their commitment to innovative drug discovery through technology and learning.
The Principal Data Analytics Engineering role focuses on enhancing OCC's analytics capabilities by designing and building an internal analytics data warehouse. Responsibilities include collaborating with various teams, managing data validation, optimizing warehouse performance, and promoting data literacy among business users.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
As an AI Tutor, you'll teach and evaluate AI models on data science principles, including statistical modeling, machine learning, and data visualization. You'll provide feedback to enhance AI understanding and conduct tests to identify model vulnerabilities and biases.
As a Data Engineer III at JPMorgan Chase, you will design and implement data collection and analytics solutions, maintain critical data pipelines, and ensure data architecture meets business objectives. You will work closely with business stakeholders, conduct technical analysis, and leverage advanced data management skills to support audit functions.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Staff Data Scientist is responsible for developing and implementing machine learning models and analytics to drive business growth and improve customer financial situations. This role requires close collaboration with product, tech, and finance teams, and involves the entire model development process from conception to deployment, focusing on credit risk models to enhance approval rates and reduce loss rates.
As a Data Scientist in the Generative AI Systems team, you will develop cutting-edge AI solutions for text and speech processing. Collaborating with cross-functional teams, you'll leverage technologies to extract insights from large datasets and build machine learning models for various applications.
As a Senior Associate Data Scientist at PwC, you will leverage advanced analytics to extract insights from data, develop AI and GenAI solutions, and collaborate with clients to solve complex business problems. Responsibilities include model development, business process analysis, and managing daily operations of the analytics team.
As a Senior Data Engineer, you will design and maintain data collection infrastructure, optimize methods for data capture, and ensure data quality while working with business partners to address data needs. You will also be involved in automating processes and managing data validations.
The AI & GenAI Data Scientist will utilize advanced analytics and data manipulation techniques to extract insights from large datasets. Responsibilities include developing AI solutions, collaborating with clients, designing AI architectures, and managing data engineering efforts. The role requires strong analytical skills and effective communication to influence business decisions.
The Data Science Manager will lead the P2P Analytics team, taking ownership of key initiatives, designing experimentation at scale, and shaping product strategy through deep data insights.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
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