Data Science Expert - Strasbourg - On site

Seidor; Strasbourg; Sur place; EUR 50 000 - 65 000; Plein temps

Résumé du poste

A global technology company is seeking a Data Science Expert in Strasbourg to perform data analysis, modelling, and visualisation. The ideal candidate holds a Master’s degree and has over 3 years of experience in data science or analytics. Proficiency in tools like Power BI and scikit-learn is essential. Join a diverse team dedicated to innovation and professional development while working in a supportive environment.

Prestations

Hybrid work schedule

Continuous learning opportunities

Dynamic international workplace

Commitment to well-being and work-life balance

Rapid advancement opportunities

Qualifications

• Minimum 4 years of relevant education after secondary school.
• At least 3 years of professional experience in data science.
• Strong knowledge of mathematical models and statistical analysis.
• Proficiency with BI and data visualisation tools.

Responsabilités

• Collect, clean, integrate, and analyse internal and external data sources.
• Create and test hypotheses based on business challenges.
• Select and design appropriate visualisation models for datasets.
• Ensure compliance with data protection rules and legal requirements.

Connaissances

Data analysis

Statistical analysis

Data visualisation

Communication skills

Advanced analytics

Formation

Master’s degree or equivalent

Outils

Power BI

Cognos

scikit-learn

Description du poste

We are on the lookout for a Data Science Expert to join our team to work with European Institutions in Strasbourg, in a On site work position.

Get to know us - SEIDOR

At SEIDOR, we drive client transformation and competitiveness with cutting-edge technology and innovation , with a relentless focus on the human element and a commitment to nurturing talent and sustainable growth.

As a diverse and inclusive company that champions equal opportunity, we boast a team of over 8,000 professionals in our global presence across 45 countries in Europe, Latin America, the USA, the Middle East, Africa, and Asia.

We believe the digital world's challenges require not only the best technologies and partnerships but most importantly, the best people. That's where you come in – we need you to help us scale new heights.

Responsibilities

1. Data Analysis & Integration
   • Collect, clean, integrate, and analyse internal and external data sources.
   • Investigate datasets to uncover correlations, relationships, and hidden patterns.
   • Manage and merge multiple structured and unstructured data sources, ensuring dataset consistency and reliability.
2. Advanced Analytics & Modeling
   • Create and test hypotheses based on business challenges.
   • Identify appropriate mathematical models and algorithms to optimise decision-making.
   • Apply and fine-tune algorithms using data science tools and libraries (e.g., scikit-learn, ELKI).
   • Lead the process of applying data analytics across the organisation.
3. Visualisation & Insights
   • Select and design appropriate visualisation models depending on the datasets and business questions.
   • Deliver insights through optimised analytics processes and advanced data visualisations (e.g., Power BI, Cognos).
   • Communicate complex patterns and recommend practical applications for business impact.
4. Big Data & AI
   • Provide expertise in big data technologies, from infrastructure to software optimisation.
   • Identify and propose quick-win solutions with high business value using big data and advanced analytics.
   • Explore and apply AI tools related to data processing and predictive analytics.
   • Support the development of reporting and advanced analytics requirements.
5. Governance, Security & Compliance
   • Ensure compliance with ethical guidelines, data protection rules, and legal requirements.
   • Implement preventative strategies for data security and risk management.
   • Provide inputs to align analytics initiatives with business priorities and stakeholder needs.
6. Reporting & Business Support
   • Analyse and provide expertise to increase the business value of reporting and BI activities.
   • Support stakeholders in interpreting analytics outputs and setting effective KPIs.
   • Contribute to the agency’s agility by applying innovative data-driven solutions.

What’s in it for you?

From day one, you’ll find opportunities for personal and professional development within a supportive team environment. We offer :

• A hybrid work schedule, blending in-office collaboration with the convenience of working from home.
• Continuous learning and development through SEIDOR Academy.
• A dynamic international workplace with diverse teams.
• A commitment to your well-being, work-life balance, and career growth.
• Rapid advancement opportunities in a short period of time.
• Engaging events and a comprehensive onboarding program.

At SEIDOR, your growth is our success, and we strive to make our workplace feel like home. Discover the nine core aspects of our culture that define us at SEIDOR :

https : / / www.seidor.com / en-es / talent

If this resonates with you, we'd love for you to apply to our opening, and we'll be in touch soon!

To ensure the integrity of the process, all candidates must :

• Attend interviews with a working webcam and audio.
• Be reachable by phone.
• Provide verifiable professional references upon request.

Applications that do not meet these requirements will not be considered.

Who we think you are

• Education : Minimum 4 years of relevant education (Master’s degree or equivalent) after secondary school.
• Experience : At least 3 years of relevant professional experience in data science, business intelligence, or advanced analytics.
• Strong knowledge of mathematical models and statistical analysis.
• Proficiency with BI and data visualisation tools (e.g., Power BI, Cognos).
• Proven ability to leverage data for strategic decision-making and value creation.
• Familiarity with big data ecosystems and advanced analytics methodologies.
• Ability to set and monitor KPIs, interpret business data, and align outputs with organisational goals.
• Strong communication and presentation skills.

Additional Desirable Skills

• Knowledge of IBM Cloud Pack for Data.
• Experience with BIGSQL Data Modelling Language and SQL.
• Cognos knowledge (both as user and administrator).
• Experience with advanced analytics libraries (e.g., scikit-learn, ELKI).
• Understanding of the institution’s challenges in adopting big data and advanced Analytics.