Senior Data Scientist II
United States of America - Remote / Home Office
Full Time Senior-level / Expert USD 176K - 264K
iHerb
50,000+ top-rated health and wellness products from trusted brands. Get the best value with weekly deals, fast, affordable shipping, and customer rewards.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:
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Create machine learning, deep learning, and statistical models that turn insights into robust products for our customers and business partners
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Translate ambiguous business problems into analytical problems, bringing your stakeholders along the way
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End-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
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Prototype and build analytical pipelines using various data sources to provide insights at scale
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Interact cross-functionally with a wide variety of teams and work closely with them to identify opportunities to improve on iHerb’s platform
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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.
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Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) based on rigorous analysis.
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Mentor junior scientists, unlocking their potential and helping them grow in their careers
Knowledge, Skills, and Abilities:
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Experience with one or more programming or scripting languages (Python, R, C#, Java, or Scala)
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Hands-on experience with statistical modeling and machine learning packages (scikit-learn, LightGBM, XGBoost, Keras, Pytorch, Tensorflow, statsmodels, Stan, etc.)
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Deep understanding of at least one of the following: Operations Research, Statistical Modelling, Hypothesis Testing, Statistical Simulation, Probabilistic Modelling, or Time Series Analysis
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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:
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Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
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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:
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Hectic, fast-paced, with multi-level distractions
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Professional yet casual work environment
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Office environment
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Ability to work extended hours as required
#LI-JC1
The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.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. Eligibility requirements for these benefits will be controlled by applicable plan documents.
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. For more information on iHerb benefits, visit us at iHerbBenefits.com.
Anticipated Pay Scale:$176,534—$264,801 USD
Staffing Agency Submission Notice
iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.
About iHerb
iHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.
We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.
Our vision is to become the #1 destination for health and wellness across the world.
With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team:
Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly ·
Embrace Diversity & Inclusion · Strive for Simplicity
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.
Tags: Computer Science CX Data analysis Data visualization Deep Learning E-commerce Excel Java Keras LightGBM Machine intelligence Machine Learning Mathematics Matplotlib Pipelines Plotly Python PyTorch R Research Scala Scikit-learn Seaborn Security Spark SQL Statistical modeling Statistics statsmodels TensorFlow Testing XGBoost
Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Salary bonus Wellness
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