This role involves working with business stakeholders to understand their needs and translate them into data-driven solutions. Data Scientists will create POCs, guide projects through the full lifecycle, recommend machine learning strategies, and develop analytical solutions using tools like Python, R, and TensorFlow. The role requires strong analytical skills and experience with data management tools like Azure and AWS.
Requirements
- Bachelor of Science or Bachelor of Engineering
- 4+ years of work experience as a Data Scientist
- Strong analytical and problem-solving skills
- Proficiency in statistical/programming software (R, Python, SQL, Hadoop/Hive, Scala)
- Experience with feature engineering and hyperparameter optimization
- Good hands-on skills in feature engineering and hyperparameter optimization
- Experience with Microsoft Azure or AWS data management tools (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
- Self-motivated and a proactive problem solver