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Data Science. Noruega

Vacantes de científico de datos/científica de datos en Noruega

Clasificación del trabajo: Profesionales científicos e intelectuales › Profesionales de tecnología de la información y las comunicaciones › Desarrolladores y analistas de software y multimedios › Analistas de sistemas › científico de datos/científica de datos.

Traducción de la profesión: Professionals › Information and communications technology professionals › Software and applications developers and analysts › Systems analysts.

Descripción de la oferta de trabajo:

Responsibilities

  • Business Stakeholder Collaboration

Objective:

  • Enhance synergies with the software team.

  • Scope: Leverage your advanced data science acumen to pinpoint novel opportunities and disseminate insights throughout the company.

  • Initiative: Champion the integration of cutting-edge Large Language Models (LLMs)

  • Expectation: As a vanguard in our data science division, you're tasked with leading dialogues and initiatives focused on leveraging LLMs to augment product development and streamline processes for clients.

Data Acquisition & Preparation

  • Process: Secure and aggregate data from a spectrum of sources, prioritizing data integrity and contextual relevance.

  • Implementation: Employ meticulous methodologies to cleanse, preprocess, and structure raw datasets, preparing them for comprehensive analysis.

Analytical Modeling

  • Activity: Execute exploratory data analyses to unearth underlying patterns, trends, and correlations.

  • Outcome: Develop and refine predictive models utilizing advanced machine learning techniques to support data-driven decision-making.

Model Deployment & Integration

  • Collaboration: Work in concert with our elite cadre of data engineers.

  • Function: Facilitate the seamless deployment and ongoing management of sophisticated data science pipelines, ensuring operational efficacy and alignment with organizational objectives.

Qualifications

  • A minimum of 5 years of experience as a Data Scientist with hands-on expertise.

  • Preferably a Masters or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines.

  • Proficiency with Python including machine learning libraries.

  • Proficiency with SQL (we use BigQuery and PostGreSQL).

  • Experience with MLOps tools such as Vertex AI or similar.

  • Experience in developing, implementing and maintaining machine learning models in production.

  • Experience with dbt or similar tools.

Om arbeidsgiveren:

Camros Tech delivers Customised Solutions in Advanced Analytics and Software Development for Small to Medium size Businesses.

Through a partnership between Data Scientists and Software developers Camros Tech delivers services that add tangible value, helping business owners accelerate growth, increase revenues, enhance operations, and reduce costs. By a multifaceted skill set we will significantly enhance the development, implementation, and deployment of data-driven applications and systems.

We offer Advance Data Analytics and BI services helping companies get real value from their data. Team of developers can add value with bespoke solutions, whether it's to enhance legacy systems or new ones. While data scientists can design and fine-tune algorithms for accuracy and efficiency, software developers ensure these algorithms are implemented in a way that they can scale and perform well within production environments.

We at Camros Tech integrates a team of data scientists with software developers that can drive innovation, enhance the quality and efficiency of data-driven projects, and create more effective solutions that are closely aligned with business goals.

País del trabajo: Noruega.

Número de puestos: 1.

Instrucciones para solicitar:

Oferta de trabajo obtenida del portal Eures, con fecha 15 de Abril de 2024, y con identificador de la vacante:eb63af8e-a0b1-420f-8446-d99e96d3b861.

Ver las 14 ofertas de trabajo de Profesionales científicos e intelectuales › Profesionales de tecnología de la información y las comunicaciones › Desarrolladores y analistas de software y multimedios › Analistas de sistemas › científico de datos/científica de datos ofertadas.

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