Business Intelligence Analyst
2 days ago
Unlock business value across IN Stores through advanced analytics. We are looking for customer-obsessed data-driven entrepreneurs to join our growing team and solve some of the hardest problems for our customers.
The Data Scientist is responsible for scaling Insights & Science charter across Category & Seller orgs, enabling effective business decision making across IN Stores. You'll analyze large amounts of data, discover and solve real-world problems, build science-driven solutions around key projects, and be an integral part of creating a better customer and seller experience.
Key Responsibilities:- Collaborate with business stakeholders and product/program managers to innovate on behalf of customers leveraging data science methodologies.
- Use computational methods to identify relationships between business data and outcomes, define outliers and anomalies, and justify those outcomes to business customers.
- Develop code to analyze data (SQL, PySpark, Scala, etc.) and build statistical and machine learning models.
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.
- End-to-end ownership of operational and technical aspects of the insights you are building for the business.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
$120,000 - $180,000 per year
This estimate is based on national averages in the United States and may vary depending on location, industry, experience, and other factors.
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