eCOMMERCE Data Scientist

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.

Roles & Responsibilities:

• 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.

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

Location:

US required. We are pleased to offer this opportunity in CA, CO, CT, FL, IL, MA, MI, NY, OH, TN, TX, VA, & WI.

Compensation: $110,000.00-$117,500.00

Benefits:

Charlotte's Web offers a diverse, quality work environment, a great compensation package, and a comprehensive benefits package. Our benefits include medical/dental/vision insurance, pet insurance, 401K match, short and long-term disability, flexible PTO, and sick time. We are an Equal Opportunity Employer.

Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.

Recruiting for this role ends on ­­­­­­­­3/23/2024.

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.