Technology & Transformation - EAD:Artificial Intelligence - Data Scientist - Consultant 1
Posted July 12
- 4+ years of work experience as a Data Scientist
- A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
- Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
- Good hands-on skills in both feature engineering and hyperparameter optimization
- Experience producing high-quality code, tests, documentation
- Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and/or deep learning methodologies
- Proficiency in statistical concepts and ML algorithms
- Good knowledge of Agile principles and process
- Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
- Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
- Self-motivated and a proactive problem solver who can work independently and in teams
- Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
- Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
- Exposure to Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO)
- Experience in NLP, Vision, and/or AR / VR
- Experience in creating CI/CD pipelines for deployment using Jenkins
- Experience implementing MLOps framework along with understanding of data security implementation on ML models
- Hands on experience developing ML driven models
