We are looking for a Graduate Junior Data Analyst to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
Responsibilities
Researching and learning new mathematical models that can improve current project output and accuracy.
Creating mathematical models or applying already existing models to domain problems.
Creating reports and manuscripts outlining the pros and cons of chosen models, and assumptions used to build the model
Keep pace with recent development in the industry and pitch the implementation of at least one of these new models to Benel Labs team.
Come up with ideas to help improve the activities of the lab
Build predictive models and machine-learning algorithms.
Combine models through ensemble modeling.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
Collaborate with engineering and product development teams.
Requirements
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science, Statistics, Mathematics or other quantitative field is preferred
Minimum 0-2 years experience as a Data Scientist or Data Analyst
Experience in data mining.
Understanding of machine-learning and operations research
Knowledge of SQL and Python;
Experience using business intelligence tools (e.g. Powerbi, Excel) and data frameworks