Senior Data Scientist

Job Description

Works closely with customers and WWT business, engineering and technology teams Works with large, complex data sets. Solves difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Works on advanced analytics areas like deep learning and complex statistical data analysis Interacts with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information Develops analysis, forecasting and optimization methods/models to provide the business solution to the clients Researches and develops internal capabilities to enhance the skill-sets on latest data science developments, work towards producing innovative solutions to the existing challenges Performs quality control of deliverables Provides thought leadership in algorithmic and process innovations, and contributes to creativity in solving unconventional problems , Strong experience with Excel and PowerPoint to present results Ability to write scripts to automate ETL tasks Ability to run standard model algorithms in R and Python, to perform: classification/regression, clustering, basic text analytics, image recognition, etc. E.g., run a classification problem using random forest, and obtain the variable importance, produce performance metrics/KPIs; run a k-means clustering problem, produce a KPI to quantify the goodness of clusters Demonstrated skills in selecting the right statistical tools given a data analysis problem Capable of running multiple scenarios and pick up the optimal solution Capable of understanding advanced mathematical or physical explanations, to implement or execute the requested tasks. E.g., Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc Actively participates and contributes in brain-storming session. Can work seamlessly with people from other disciplines: IT engineers, client SMEs, business consultants Consistently improves communication skills, both verbally and in written materials Demonstrated creativity in problem solving Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques Flexibility in task switching. For instance, when there are urgent requests or change of projects, can accommodate the changes without protesting Mindful of iterations and quality check in a smaller team, before presenting results to larger audience Raises critical issues when detected Show more Show less