Lead Data Scientist

Qualifications:

Education

• 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)

 

Work Experience

• 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.

 

Specialized Knowledge, Skills, and Abilities

We don't need an exceptional IQ of 160. All we need is curiosity, humility, and openness to learn. In other words, we just need a Beginner's Mind, even if you have decades of professional experience.

 

Analysis

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

 

Problem Solving

• 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.

 

Team & Business Skills

• 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.

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $150,000 to $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that are not included in the base pay.

 

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental,