Senior Data Scientist II

iHerb; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to lead innovative projects that leverage machine learning and statistical models. This role involves collaborating with diverse teams to transform ambiguous business challenges into actionable insights, enhancing the customer experience for millions. The successful candidate will mentor junior team members, fostering a future of growth in Data Science. Join a dynamic environment where your analytical skills will drive impactful solutions and optimize core business processes. If you are passionate about data and eager to make a difference, this opportunity is perfect for you.

Benefits

Health programs

Flexible work options

Financial planning support

Employee discounts

Professional development opportunities

Qualifications

• 5+ years of experience in data analysis or related fields.
• Hands-on experience with statistical modeling and machine learning packages.

Responsibilities

• Create machine learning and statistical models to enhance user experience.
• Mentor junior scientists and develop analytical solutions.

Skills

Python

R

C#

Java

Scala

Statistical Modeling

Machine Learning

Data Visualization

Education

Master's Degree in Computer Science

Ph.D. in a related field

Tools

scikit-learn

LightGBM

XGBoost

Keras

Pytorch

Tensorflow

SQL

Spark

Microsoft Office Suite

Google Business Suite

Job description

United States of America - Remote / Home Office

Job Summary:

The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users. The Senior Data Scientist will join a team of data scientists, machine learning engineers, and software developers who work closely with business partners to provide machine intelligence-driven solutions and products to simplify and enhance the customer experience and to automate core business processes. This role will mentor junior team members to develop a strong future for Data Science at iHerb.

Job Expectations:

1. Create machine learning, deep learning, and statistical models that turn insights into robust products for our customers and business partners.
2. Translate ambiguous business problems into analytical problems, bringing your stakeholders along the way.
3. End-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
4. Prototype and build analytical pipelines using various data sources to provide insights at scale.
5. Interact cross-functionally with a wide variety of teams and work closely with them to identify opportunities to improve on iHerb’s platform.
6. 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.
7. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) based on rigorous analysis.
8. Mentor junior scientists, unlocking their potential and helping them grow in their careers.

Knowledge, Skills, and Abilities:

1. Experience with one or more programming or scripting languages (Python, R, C#, Java, or Scala).
2. Hands-on experience with statistical modeling and machine learning packages (scikit-learn, LightGBM, XGBoost, Keras, Pytorch, Tensorflow, statsmodels, Stan, etc.).
3. Deep understanding of at least one of the following: Operations Research, Statistical Modelling, Hypothesis Testing, Statistical Simulation, Probabilistic Modelling, or Time Series Analysis.
4. 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.).

Equipment Knowledge:

1. Experience with Microsoft Office Suite (Word, Excel, PowerPoint).
2. Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred.

Experience Requirements:

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).

Education Requirements:

Master's Degree in Computer Science, Statistics, Applied Mathematics, Physical Sciences, or related quantitative fields. Ph.D. highly preferred.

Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills and determine when to escalate issues, as required, in a timely manner.

Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder height, below the waist, or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques are required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Work Environment: The noise in the work environment is usually moderate. Other factors are:

1. Hectic, fast-paced, with multi-level distractions.
2. Professional yet casual work environment.
3. Ability to work extended hours as required.

iHerb Benefits: At iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for.

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

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