eCommerce Data Scientist

at  Charlottes Web

SUMMARY:

Works with a team to model complex business problems and discover insights through the use of statistical, algorithmic, mining, and visualization techniques. You will need to be a " data utility player” and be prepared to be able to assist in data standardization and analysis opportunities, and aid in the build and implementation of data models.

FUNCTIONAL/TECHNICAL KNOWLEDGE, SKILLS & ABILITIES:

• Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders
• Experience planning and executing a variety of projects and making recommendations requiring technical and administrative judgment
• Experience developing long- and short-term program plans, assessing resource utilization, initiating, or recommending new or revised processes and procedures
• Experience applying statutory, regulatory, and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures
• Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning, and artificial intelligence
• Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools, and scripting tools to conduct data science projects, as well as instruct others

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

• Physical agility and stamina may be required.
• Ability to sit or stand for extended periods.
• Manual dexterity for repetitive tasks.
• Proper use of protective equipment.
  Note: This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job

Education & Experience:

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline
• 5+ years of work experience in a relevant field (in addition to any graduate education).
• Analytics or Data Science experience with e-commerce companies.
• In-depth experience with java script, python & python tools required.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision-making, highly preferred

• Design, run, and analyze the results of A/B tests of new search or recommendation algorithms and strategies; we also develop new testing and test analysis methodologies.
• KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches.
• Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our product roadmaps.
• Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them.
• Run open-ended exploratory data analysis to identify new ideas and opportunities
• Design and run A/B tests of our latest search or recommended algorithms
• Proactively monitor our algorithmic models to identify potential issues, determine root causes, and resolve them.
• Build new tools that allow us to be more productive and efficient
• Work closely and build productive relationships with our product, engineering, and machine learning stakeholders.
• Proactively identify areas where advanced analytical efforts can produce a strong value add and work them into the roadmap.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization
• Performs other duties as required
  Job Requirements:

Education & Experience:

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline
• 5+ years of work experience in a relevant field (in addition to any graduate education).
• Analytics or Data Science experience with e-commerce companies.
• In-depth experience with java script, python & python tools required.
• Experience with experimental design (A/B tests) and statistical analysis to drive business decision-making, highly preferred.