Data Scientist

Responsibilities:

• Work closely with customers and WWT business, engineering, and technology teams.
• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Work on advanced analytics areas like deep learning and complex statistical data analysis
• Interact with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information.
• Develop analysis, forecasting and optimization methods/models to provide the business solution to the clients.
• Research and develop internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges.
• Perform quality control of deliverables.
• Provide thought leadership in algorithmic and process innovations and contribute to creativity in solving unconventional problems.

• Preferably a Ph.D. but also open to master's or bachelor's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering, or other STEM fields)

• 4-6 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). D. Research and post-doctoral experience also counts.

• Experience with writing SQL queries, performing basic conversion and transformations (formatting date string), and obtaining statistical summaries by using windowing functions.
• Experience with usage of R/RStudio, Python, JupyterNotebook
• Experience with version control tool like Git
• Strong experience with Excel and PowerPoint to present results.
• Ability to write scripts to automate ETL tasks.
• Experience in AI / Deep Learning for text/image/video analytics preferred.
• Experience in Cloud Computing and data streaming preferred.

• Ability to run standard model algorithms in R and Python, to perform: classification/regression, clustering, basic text analytics, image recognition, etc. 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.
• Experience with charting tools & knowledge of the proper charting tool to use, whether Excel or Tableau. For instance, when to use box-and-whiskers plot, when to use waterfall. Ability to zoom-in to smaller data sets in Tableau or display subcategories.
• 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. Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc.
• Actively participates and contributes to brain-storming session. Can work seamlessly with people from other disciplines: IT engineers, client SMEs, business consultants.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.

• 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.

• Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement

• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program