Data Scientist - Brussels, België - AMA European Consulting
Beschrijving
Responsibilities:
Data Preparation:
Collect, clean, and preprocess large datasets to ensure data quality and reliability for analysis.
- Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to understand data distributions, correlations, and patterns.
Feature Engineering:
Engineer relevant features from raw data to enhance model performance and predictive accuracy.
Model Development:
Design, develop, and implement predictive models using advanced statistical and machine learning techniques.
Model Evaluation:
Evaluate model performance using appropriate metrics and refine models iteratively to improve accuracy and generalization.
Data Visualization:
Create visualizations to communicate analysis findings and insights effectively to stakeholders.
Collaboration:
Collaborate with data engineers, business analysts, and domain experts to understand business requirements and translate them into data science solutions.
Deployment and Integration:
Deploy models into production environments and integrate them into existing systems or processes.
Required Skills:
- Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling.
- Strong understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, and time series analysis.
- Experience with machine learning algorithms and techniques, such as supervised learning, unsupervised learning, and deep learning.
- Knowledge of data visualization libraries and tools (e.g., Matplotlib, Seaborn, Plotly) to create informative visualizations.
- Familiarity with data manipulation and querying using SQL for relational databases.
- Experience with big data technologies and frameworks (e.g., Apache Spark, Hadoop) for processing and analyzing large-scale datasets.
- Strong problem-solving skills and analytical thinking to tackle complex data-related challenges.
- Excellent communication and storytelling skills to present analysis findings and insights to both technical and non-technical audiences.
- Ability to work collaboratively in a team environment and contribute to interdisciplinary projects.
- Attention to detail and commitment to delivering high-quality, accurate, and actionable results.
Education and Experience:
Master's or Ph.
D. degree in computer science, statistics, mathematics, or a related field with a focus on data science or machine learning.
Previous experience in data science, machine learning, or a related field, preferably in an industry or research setting.
Demonstrated portfolio of projects showcasing proficiency in data analysis, modeling, and problem-solving.
Certifications in data science, machine learning, or related areas are a plus.
Type d'emploi :
Temps Plein, Freelance
Langue:
- Néerlandais (Optionnel)
Lieu du poste :
En présentiel
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