Data Scientist at GVA Partners

Responsibilities:

• Develop programming in R, SAS, SQL or similar analytical development tools 
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise 
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics 
• Ascertain and apply strategies to identified business problems and existing organizational processes to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals 
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines 
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
• Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact 
• Utilize R, SAS, SQL, Tableau or other analytical development tools with large data sets to design 
• analyses and measure key metrics 
• Support line of business analytical needs with dashboard/report development through Tableau 
• Perform other duties as assigned by the Team Lead, Data Science

Keys Qualifications and Skills: 

• Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization 
• 2-6 years working experience as a data scientist or business data analyst, preferably in the financial services industry
• Technical expertise regarding data models, database design development, data mining and segmentation techniques  
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks) 
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.) 
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy 
• Adept at queries, report writing and presenting findings
• Proficient in office automation tools (e.g. Microsoft Office, etc)  
• Proficient in SQL