Data Scientist
Unilever
Technical Skills:
- Strong technical background in multivariate statistical methods e.g. regression, PCA, Design of Experiments, and Monte Carlo simulations. Knowledge of Bayesian methods is a plus.
- Good understanding of the underlying principles/best practices to build and validate predictive models.
- At least one year of experience applying machine learning techniques to tabular datasets (e.g. ElasticNet, random forests, GBM, XGBoost).
- At least one year of experience using a statistical programming language such as R, Python, Julia, etc. to manipulate and draw insights from data.
- Strong understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross validation, LIME, SHAP, etc.
- Experience performing ETL with SQL and NoSQL databases.
- Experience with developing data science web applications (e.g. Dash, Streamlit, R Shiny, Django).
- Familiarity with cloud computing platforms (Azure, AWS, GCP) is a plus.
- Familiarity with natural language processing techniques (e.g. TF-IDF, word vectorization, RNNs, transformers, etc.) is a plus.
To apply for this job please visit unilever.wd3.myworkdayjobs.com.
