Senior Data Scientist II

Summary

Join iHerb as a Senior Data Scientist and lead the development of statistical, machine learning, and deep learning models impacting millions of users. Collaborate with a team of data scientists, engineers, and developers to deliver machine intelligence solutions enhancing customer experience and automating business processes. Mentor junior team members, fostering growth within the Data Science team. This role involves end-to-end analysis, from data gathering to presentation, and building analytical pipelines. You will translate business problems into analytical solutions, make data-driven recommendations, and improve iHerb's platform through innovative approaches. The ideal candidate possesses extensive experience in data science and a strong understanding of statistical modeling and machine learning.

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

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)
• Ph.D. highly preferred

Benefits

• Medical, dental, vision, and basic life insurance programs
• 401(k) plan
• Time Off and Paid Sick Leave
• Paid holidays
• Restrict Stock Units
• Annual bonuses