Identify valuable data sources and automate collection processes
Undertake reprocessing of structured and unstructured data
Analyse large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modelling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyse model performance and data accuracy.
Experience in analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python
Experience using business intelligence tools (e.g. Tableau, Power BI) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Excellent communication and presentation skills
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.