Stackline is looking to solve the problem of unlocking the full potential of data to fuel the future of commerce by bringing brands and customers closer together.
Requirements
- 2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
- Demonstrated experience with Python and SQL.
- Prior experience using advanced statistical tools such as SciPy or sklearn.
- Prior experience with big data technologies such as Hadoop or Spark.
- Experience designing and building innovative ideas, working closely with technical teams from concept generation through implementation.
- Experience working in a startup, retail, digital advertising, or e-commerce environment.
- Bachelor’s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
Responsibilities
- Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.
- Build and maintain data pipelines and workflows to ensure data accuracy and consistency, while identifying and rectifying errors, inconsistencies, or missing information.
- Provide timely and precise responses to inquiries from both internal and external sources regarding datasets and models.
- Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
- Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
- Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
- Document data sources and processes for data analysis.
Other
- Bachelor’s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
- 2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
- Travel requirements not specified, but role is hybrid with 4 days/week in office.
- Comprehensive benefits plan covering medical, dental, and vision.
- Company 401k plan plus matching.
