Senior AI Data Scientist

SD Worx; Barcelona; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading European provider of HR solutions is seeking a Data Scientist to join their Corporate Data Solutions team in Barcelona. The role involves leading a team, implementing advanced analytics, and developing strategies for data-driven decision-making. Candidates should have a Master's degree and extensive experience in machine learning, data mining, and programming. This position offers a competitive salary and flexible working arrangements.

Servicios

Attractive salary based on experience

Flexible working hours

Learning opportunities and training

Formación

• 5-7 years of experience in a data science role.
• Proven experience with statistical analysis and machine learning.
• Strong leadership and mentoring skills.

Responsabilidades

• Lead and support a team of data scientists.
• Design and implement statistical models and machine learning algorithms.
• Develop data strategies aligning with business objectives.

Conocimientos

Statistical analysis

Machine learning

Data mining

Programming in Python

Leadership

Educación

Master’s degree in computer science or related field

Herramientas

TensorFlow

Azure Data Factory

Git

Descripción del empleo

SD Worx is a leading European provider of Payroll & HR services with a global reach. We have offices in Europe and an office in Mauritius. Our goal? We bring people solutions to life, so companies of any size can turn Human Resources into a source of value for the business and the people in it.

Our people solutions span the entire employee journey, from getting people paid to attracting, rewarding, and developing talent. Are you ready to join us?

What do we have to offer?

• An attractive salary based on your experience and achievement. And the freedom to compose your personal benefit package.
• A dynamic environment: flexible working hours and working from home – everything is negotiable
• Learning opportunities: through an individual development plan and professional training
• Career growth: whether you want to become more of an expert in your field or expand your knowledge more horizontally, there is always room to grow within SD Worx!

About the role :

Join our Corporate Data Solutions Tribe, responsible for providing reports, dashboards, and analytics for the entire SD Worx Group. CDS manages the data warehouse architecture, ETL processes, data mappings, definitions, and the transformation of Corporate Data into Information & Insights. The Advanced Analytics & Artificial Intelligence Team at CDS is at the forefront of harnessing cutting-edge AI technologies. We specialize in projects such as recommendation systems, language models, document understanding, data quality improvement, and feedback analysis, all aimed at revolutionizing data-driven decision-making for an exceptional user experience.

Your Responsibilities :

As a Data Scientist at SD Worx, you will play a pivotal role in leveraging data to enhance our HR and payroll solutions, helping us uncover valuable insights to drive efficiency and effectiveness in workforce management.

Team Leadership: Lead, mentor, and support a team of data scientists, fostering a collaborative and innovative environment.

Advanced Analytics and Modeling: Design and implement complex statistical models, machine learning algorithms, and data mining techniques to solve business problems.

Data Strategy: Develop and execute data strategies that align with business objectives and drive value.

Collaboration: Work with cross-functional teams to understand their needs and deliver data-driven insights and solutions.

Data Preprocessing: Clean, preprocess, and organize raw data to ensure data quality and readiness for analysis.

Research and Development: Stay current with the latest advancements in data science, machine learning, and AI, and apply new techniques to improve our capabilities.

Solution Deployment: Implement and deploy machine learning models in production environments, ensuring scalability and efficiency.

Ethical Data Use: Ensure all data practices comply with legal and regulatory requirements and promote ethical use of data.

Our Requirements

Master’s degree in computer science, Information Sciences with a focus on Machine Learning, Data Science, or AI.

You have at least 5-7 years of experience in a similar role.

Strong expertise in statistical analysis, machine learning, and data mining techniques.

Proficiency in programming languages such as Python and experience with data science libraries and tools (e.g., TensorFlow, pandas).

Have proven experience with Azure in general & at least with data factory, Git (Azure MLOps).

Excellent problem-solving skills and the ability to work with complex datasets.

Strong leadership and mentoring skills, with experience leading data science teams.

Excellent communication skills, with the ability to present complex findings to both technical and non-technical audiences.

You are eager to learn and have a result-driven mind-set.

Experience considered as a plus :

Experience in working with Docker.

Experience in Agile working.

Experience in developing data-products based on Large Language Model

Deploying models using Azure services and building production-ready data solutions using APIs.

What We Offer :

Besides a competitive salary and benefits package, SD Worx offers you the autonomy and flexibility to take ownership of your work. With the possibilities of flexible working hours, remote work, and working from other offices, you can organize your own work.

For us, learning and innovating are like breathing, inspiring us to always go beyond. We offer multiple training opportunities, projects, and the chance to learn from experts. From the start, you will be an integral part of your team, where we share knowledge, talents, and celebrate our differences.

From many places, we work as one, moving from better to best together.

SD Worx lives diversity in the workplace. Diversity provides inspiration and innovation in our company. We particularly welcome applications from qualified talent, regardless of origin, nationality, gender, skin colour, ethnic and social background, religion, age, disability, sexual orientation and stage of life.