Senior Data Scientist II

Summary

Join iHerb as a Senior Data Scientist II and lead in creating impactful statistical, machine learning, and deep learning models. Collaborate with a team of data scientists, machine learning engineers, and software developers to deliver machine intelligence-driven solutions. Mentor junior team members and translate ambiguous business problems into analytical solutions. Develop analytical pipelines, conduct end-to-end analysis, and make data-driven business recommendations. This role requires a Master's degree and 5+ years of relevant experience.

Requirements

• Experience with one or more programming or scripting languages (Python, R, C#, Java, or Scala)
• Hands-on experience with statistical modeling and machine learning packages (scikit-learn, LightGBM, XGBoost, Keras, Pytorch, Tensorflow, statsmodels, Stan, etc.)
• Deep understanding of at least one of the following: Operations Research, Statistical Modelling, Hypothesis Testing, Statistical Simulation, Probabilistic Modelling, or Time Series Analysis
• Ability to gather data from multiple sources (SQL, Spark, etc.) and use data visualization packages to analyze the gathered data (Seaborn, Matplotlib, ggplot, Plotly, etc.)
• Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
• Generally requires 5 (five) years of relevant experience in data analysis or a related field (Data Scientist, Machine Learning Engineer, Statistician, or related field) and 2 (two) years of relevant work experience in data analysis or related field. (e.g., as a Data Scientist, Statistician, or related position)
• Master's Degree in Computer Science, Statistics, Applied Mathematics, Physical Sciences, or related quantitative fields. Ph.D. highly preferred

Responsibilities

• Create machine learning, deep learning, and statistical models that turn insights into robust products for our customers and business partners
• Translate ambiguous business problems into analytical problems, bringing your stakeholders along the way
• End-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
• Prototype and build analytical pipelines using various data sources to provide insights at scale
• Interact cross-functionally with a wide variety of teams and work closely with them to identify opportunities to improve on iHerb’s platform
• Develop analytical solutions, forecasting, and optimization methods to improve the quality of iHerb’s user experience. Areas include product recommendation, end-user behavioral modeling, user engagement, pricing, fraud detection, etc
• Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) based on rigorous analysis
• Mentor junior scientists, unlocking their potential and helping them grow in their careers

Preferred Qualifications

Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Benefits

• Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan
• Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies
• Employees will enjoy paid holidays throughout the calendar year
• Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies