Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in a team to partner with the Business to provide a comprehensive view of Data Analytics.

 

Job summary:

As a Data Scientist Lead, Vice President within our analytics team, you will manage effective engagement in initiatives which require the development and deployment of advanced analytical solutions. You will be hands-on in conducting analytics and modeling with use of various tools such as R, Python, Tableau, Alteryx, SQL. You will also be accountable for business impact and robustness of solutions delivered including: analyses, procedures, models, test designs.

Job responsibilities:

Run workstreams, owns initiative end-to-end, manages stakeholder requirements and work in matrix environment Prioritize and manages in a way that uses resources effectively, communicates findings, issues and proposed solutions to business executives Engage diverse groups of colleagues and clients Stay abreast of trends and best practices and factors into approach  Identify process improvements and efficiency enhancements Appreciate operational complexities and how they may translate into risk on a given project. Coach and facilitate others to solve problems, strong problem-solving leader Produce clear and succinct written and verbal communications and knows how to think through and frame messages for different audiences Use knowledge of current industry development to recommend enhancements to client service

 

Required qualifications, capabilities, and skills:

Generally 6+ years of experience in data science or other related fields Bachelor's degree in a quantitative or related field Masters or PhD in a related field, or Bachelors with 5+ years' experience in a related discipline Intermediate knowledge of AI/ML packages, statistical tools including Python, SQL and R Knowledge of Data Mining & Visualization and tools like SQL, Tableau, Alteryx Subject Matter Expert in statistical techniques, predictive modeling, time series forecasting, text mining Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization Ability to transform information derived from data into actionable insights which directly relate to the organizations key strategic objectives External client exposure / skills  Strong story telling capabilities