Data Scientist

Job description

- **Build** a **portfolio** of **data opportunities** for specific business partners based on your      knowledge of the data and the business. - **Support** business partners      in **translating** their **needs** into specific **research      questions** that can be addressed in a data science project. - **Apply** techniques of data      preparation, quality control, completeness, distribution, consistency,      outliers, data, or variable transformation. - Apply **mathematical**, **statistical**, and **modeling      techniques** in a suitable environment. - Use statistical analysis to support **strategic      decision-making**. - Support partners in the correct interpretation and      application of analysis results. - Training      Business partners interpret analysis results **independently** or      translating analysis results into the right actions. - **Collaborate** closely with **Data      Science Engineers** to support the entire data pipeline process. - Evaluate the long-term validity of the analytical      solution. - Follow up on developments in the field of statistical      analysis, mathematical modeling, optimization, and integrate these into      practice **Requirements** - Should have **12+ years** of working experience in Data-related projects. - At least **8+** years of relevant experience as a Data Scientist. - **In-depth knowledge** of statistical methods for **data** **analysis,** **interpretation**, and application of these techniques to solve a business problem. - **Experience** in **Machine learning/** NLP/ AI, Data Visualization, Data processing - **Experience** in applying a **variety** of **analytical algorithms**, including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks, and others. - **Experience** in EDA, text mining, and understanding of image processing. - **Experience** in **Statistics**, Statistical Analysis, Strategic Planning, Quality Control, **SQL**. - **Proficiency** in **Python** is expected to perform Data Science activities. - **Strong analytical** and **problem-solving skills**. - Ability to work in a team-oriented, **collaborative environment**. - **Excellent communication** and interpersonal skills - Bachelor's or master's degree in a relevant field such as Statistics, AI / ML / NLP is an added value.