Senior Data Scientist II

Related keywords: data scientist remote jobdata science remote jobdata analytics remote job

This page contains product affiliate links.

Overview

The role of Senior Data Scientist II at iHerb is crucial for tackling complex challenges and developing advanced statistical, machine learning, and deep learning models that can impact millions of users globally. This opportunity allows candidates to work collaboratively within a dynamic team of data scientists, machine learning engineers, and software developers. The focus will be on crafting machine intelligence-driven solutions that improve customer experience and automate essential business processes.

Job Responsibilities

The primary responsibilities of the Senior Data Scientist II include:

  • Leading the creation of machine learning, deep learning, and statistical models.
  • Translating ambiguous business challenges into analytical endeavors, ensuring stakeholders' understanding throughout the process.
  • Conducting end-to-end analysis, which involves data gathering, specification of requirements, processing, analysis, delivering ongoing insights, and making presentations.
  • Prototyping and building analytical pipelines, utilizing diverse data sources for scalable insights.
  • Collaborating cross-functionally to discern opportunities for enhancement within the iHerb platform.
  • Developing analytical solutions and optimizations to elevate the quality of user experience in areas such as product recommendations, behavioral modeling, user engagement, pricing, and fraud detection.
  • Providing business recommendations based on rigorous analysis, which could include cost-benefit assessments, forecasting, and experiment analyses.
  • Mentoring junior scientists, thereby contributing to fostering a robust future for data science within the organization.

Required Skills and Qualifications

To qualify for this position, candidates must possess:

  • A solid experience with one or more programming languages including Python, R, C#, Java, or Scala.
  • Proficiency in statistical modeling and machine learning libraries such as scikit-learn, LightGBM, XGBoost, Keras, Pytorch, Tensorflow, as well as foundational models in Statsmodels and Stan.
  • A deep understanding of at least one analytical area, including Operations Research, Statistical Modeling, Hypothesis Testing, Probabilistic Modeling, or Time Series Analysis.
  • The capability to extract data from various sources (e.g., SQL, Spark) and to employ data visualization tools like Seaborn, Matplotlib, ggplot, or Plotly for data analytics.
  • Proficiency with Microsoft Office Suite and familiarity with Google Business Suite is preferred.

In terms of experience, candidates should have:


🎁 Get your FREE ebook!

Share this page using the buttons below and download our e-book "Essential Soft Skills for Today’s World" instantly.

Once shared, you’ll see the download button on any page you visit!

✅ Thanks for sharing!

You can now download your ebook:

📥 Download "Essential Soft Skills for Today’s World"
  • Typically, 5 years of relevant experience in data analysis or related fields, alongside 2 years specifically in positions such as Data Scientist, Statistician, or roles related to data science.

Regarding educational requirements, candidates should ideally possess:

  • A Master’s Degree in Computer Science, Statistics, Applied Mathematics, Physical Sciences, or a related quantitative discipline, while a Ph.D. is highly preferred.

Work Environment and Physical Demands

The work environment is generally described as professional yet casual, allowing for a balance between formality and comfort. Candidates should be prepared for:

  • A typical office ambiance with a moderate level of noise and various distractions.
  • The need to adapt to a hectic and fast-paced workspace.
  • Physical demands that include frequent sitting, using hands and fingers, and possibly lifting up to 25 pounds when managing supplies or materials.

Salary

The anticipated pay scale for the Senior Data Scientist II role at iHerb ranges from $176,534 to $264,801 USD. The final salary may vary based on factors like geographic location and the applicant's experience level.

Benefits

iHerb offers comprehensive benefits to ensure the well-being of their employees and their families. Eligible employees may participate in:

  • Medical, dental, and vision insurance programs.
  • Enrollment in the company’s 401(k) plan.
  • Paid Time Off and Sick Leave following company policies.
  • Paid holidays throughout the calendar year.
  • Potential awards of Restricted Stock Units and annual bonuses based on eligibility and performance metrics.

To find out more about the benefits available, candidates can explore iHerb Benefits.

Conclusion

Overall, the Senior Data Scientist II position at iHerb is an exciting opportunity for qualified candidates seeking to make a significant impact in the health and wellness domain. With a strong emphasis on analytical skills, innovative solutions, and the ability to mentor and lead, this role lays the groundwork for professional development and substantial contribution to data science within the organization.



This job offer was originally published on jobicy.com

iHerb

Not specified

Data science

Full-time

June 19, 2025

11 views

1 clicks on Apply Now


Similar job offers


This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.