About the Job:
The company is a specialist consulting firm focused on delivering services and solutions in "Everything Data," encompassing Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, the company has a strong track record as a trusted partner across various industry verticals and functional areas, with operations in Europe, the Middle East, the United States, and Africa. As part of a strategic alliance with synvert, the company aims to become one of EMEA's largest Data & Analytics consulting companies.
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As a Senior Data Scientist, you will engage in data exploration, model development, and the implementation of advanced analytics and machine learning solutions. This role involves hands-on data manipulation, building predictive models, and generating actionable insights to aid data-informed decisions across the organization.
Responsibilities:
- Data Analysis: Conduct comprehensive analysis of structured and unstructured datasets using statistical techniques.
- Data Cleaning and Transformation: Ensure quality and readiness of raw data for analysis and modeling.
- Feature Engineering: Develop and select relevant features to enhance model performance.
- Machine Learning: Design, implement, and validate machine learning models using frameworks such as TensorFlow or PyTorch.
- Predictive Modeling: Create and refine models to solve business problems through regression, classification, clustering, and time-series analysis.
- Scalable Pipelines: Develop and maintain scalable data pipelines using SQL and NoSQL technologies.
- Model Deployment: Deploy models into production using platforms like Dataiku.
- Statistical Analysis: Apply advanced statistical methods for interpreting complex datasets.
- Data Visualization: Create visualizations and dashboards using Power BI to communicate findings effectively.
- Data Storytelling: Translate analytical results into clear narratives for strategic decision-making.
- Cross-Functional Collaboration: Work closely with product owners and other data professionals.
- Technical Support: Provide ongoing support for developed products.
- Technical Documentation: Maintain documentation of data processes and methodologies.
Requirements:
- Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Information Management, or Statistics (Master’s degree preferred).
- Minimum of 8 years of experience in data science or a related technical field.
- Proficiency in programming languages such as Python or R.
- Strong data modeling skills with experience in SQL and NoSQL.
- Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with data science platforms such as Dataiku and Microsoft Azure services.
- Proficiency in data visualization tools like Power BI or Tableau.
- Familiarity with Massive Parallel Processing (MPP) technologies is a plus.
- Experience in version control systems like Microsoft DevOps.
- Data Science Certification from Microsoft and Dataiku is preferred.
Our Offer:
Join an international and talented team in an excellent work environment where passion drives success. Enjoy 25 vacation days and opportunities for personal growth within the team.
