DATA SCIENTIST (LISBON)
Descrição da oferta de emprego
Data Scientist Choosing (COMPANY NAME) means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.
Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE We are looking for motivated Data Scientist to join our teams in Lisbon.
In this role you will be responsible for.
* Lead and contribute to end-to-end data science projects, including problem formulation, data collection, analysis, model development and deployment; * Develop advance machine learning models to address complex business problems, utilizing techniques such as deep learning, natural language processing and ensemble methods; * Work closely with cross-functional teams to understand business requirements, identify opportunities for data-driven solutions and communicate findings effectively; * Drive innovation by researching and implementing state-of-the-art algorithms and techniques to improve predictive performance and model interpretability; * Collaborate with data engineers to optimize data pipelines and ensure scalability, reliability and efficiency of data processing workflows; YOUR PROFILE * Master's degree or Ph.
.
in Computer Science, Statistics, Mathematics or a related field; * Proven experience as a Data Scientist (at least 3 years), machine learning or predictive analytics roles; * Proficiency in programming languages such as Python ou R and experience wih data manipulation and analysis libraries (e.
., Pandas, NumPy); * Strong understanding of machine learning concepts, algorithms and techniques with proven experience in building and deploying production-quality models; * Demonstrated experience in working with large-scale datasets and distributed computing frameworks (e.
., Spark); * Certifications are a plus; WHAT YOU'LL LOVE ABOUT WORKING HERE * At (COMPANY NAME) Portugal we have a flexible and dynamic work environment.
Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company's hybrid work policy; * We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs); * We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback; * Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in force.
* (COMPANY NAME) Portugal is an equal opportunity employer.
We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.
ABOUT (COMPANY NAME) (COMPANY NAME) is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
It is a responsible and diverse group of team members in more than 50 countries.
With its strong over 55-year heritage, (COMPANY NAME) is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
The Group reported global revenues of EUR22.
billion.
Get the future you want | www.(COMPANY NAME).
om Apply now! #LI-Hybrid Ref.
Sep Experienced Professional Permanent Full Time Location.
Lisbon, PT
Detalhes da oferta
- Indeterminado
- 07/11/2024
- 05/02/2025
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