Data Scientist

The ideal candidate's favorite words are learning, data and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Extract, prepare and analyze complex datasets.
• Build and implement machine learning models to solve business problems.
• Develop data visualizations and dashboards to communicate findings.
• Collaborate with stakeholders to understand business requirements and translate them into data solutions.
• Clean, preprocess, and organize raw data for analysis.
• Conduct testing and evaluate model performance.

Required skills:

• Strong programming skills in Python.
• Experience in building and training ML.
• Experience with SQL.
• Experience with JupyterHub, MLFlow, Airflow and Dask is a plus.
• Experience with Elastic is a plus.
• Experience in managing/processing large data sets.
• Strong communication skills to convey complex insights to non-technical audiences.
• Knowledge of Agile/Scrum methodologies.