Top Data Science Jobs in Naples
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
The Data Scientist will work on Natural Language Understanding, Prompt Engineering, and AI solutions, collaborating across teams, developing SDKs, prototyping innovative solutions, and mentoring junior engineers. Responsibilities include using LLMs and processing large datasets to enhance Musixmatch products while ensuring clear technical documentation.
The Omnichannel Data Scientist/Sr. Analyst will collaborate with marketing and sales teams to analyze business questions and provide insights for Omnichannel strategies. They will design and execute analyses, develop KPIs, manage projects, and create analytical models to enhance business performance in the pharmaceutical industry.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
As a Senior Applied Data Scientist at PriceHubble, you will design, implement, and maintain ML systems, focusing on Automated Valuation Models for assessing residential property values. You will lead projects from concept to launch, ensuring high-quality products while navigating the specific needs of different markets across Europe. You will also enhance the performance and efficiency of ML models and pipelines, contributing directly to revenue growth through user-facing solutions.
As the Analytics Engineering Lead, you will transform raw data into insightful outcomes, design data models, enhance data utilization, and collaborate with stakeholders to promote data-driven decision-making while overseeing data quality and documentation.
As an Analytics Engineer, you will develop and maintain high-quality data models using dbt, optimize SQL-based transformation pipelines, collaborate with various teams to ensure data accuracy for business reporting, and create documentation and data quality checks while mentoring junior members.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data Scientist, analyze complex datasets using statistical methods and machine learning algorithms to extract actionable insights. Develop, test, and deploy predictive models optimized for performance. Collaborate with Data Engineers to maintain data quality and consistency. Create reusable data pipelines and mentor junior team members.
The Principal Statistical Programmer leads the development and maintenance of statistical programming capabilities. Responsibilities include designing data specifications, overseeing CRO deliverables, implementing SAS programs for clinical data analysis, and collaborating with study teams for timely and quality deliverables.
The Data Engineer will develop and maintain data pipeline architectures, improve data reliability, prepare data for modeling, and ensure compliance with governance policies. The role includes working with big data platforms and creating solutions for data analysts and scientists.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
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