Lead Data Scientist

World Wide Technology Healthcare Solutions•Jenks, OK

About The Position

As a Lead Data Scientist, you will collaborate with a multi-disciplinary team of solution architects, engineers, and data scientists on a wide range of business problems. You will not only work on large scale projects to provide value to our customers but will also routinely contribute to building our internal R&D capability to keep our edge in today's data science. We work on providing analytic solutions to a wide range of clients coming from the domains of mining, healthcare, financial services, retail industry, etc.   We are looking for candidates who not just apply algorithms and packages but also understand the working behind them and can develop their own algorithms/IP. Candidates who are passionate about real world business problems tend to also be good data scientists and think creatively.

Requirements

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)
6-10 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). Ph.D. Research and post-doctoral experience also counts.
Experience with writing SQL queries, performing basic conversion and transformations (e.g., formatting date string), and obtaining statistical summaries by using windowing functions.
Experience with LLM platforms and framework.
Experience with usage of R/RStudio, Python, Jupyter Notebook
Experience with version control tool like Git
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
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. 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.
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.
This position will have direct reports.

Nice To Haves

Experience in AI / Deep Learning for text/image/video analytics preferred
Experience in Cloud Computing and data streaming preferred

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
Interaction 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
Be a mentor to junior members of the team

Benefits

Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

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