Job Summary:

Charlotte's Web is seeking a passionate and experienced Data Scientist to join our thriving eCommerce team. As a Data Scientist at Charlotte's Web, you will play a pivotal role in leveraging data-driven insights to optimize our online platform, enhance the customer experience for our renowned line of hemp-derived CBD products as well as improve overall business growth for the company taking into account product, finance, marketing, and eCommerce. This position offers a unique opportunity to apply advanced analytics techniques in a rapidly growing industry, driving impactful decision-making and contributing to the success of a leading wellness brand.

Responsibilities:

Data Analysis and Modeling:

• Analyze extensive datasets encompassing customer interactions, sales trends, and product performance to extract valuable insights.
• Utilize statistical methods and machine learning techniques to analyze large datasets related to customer behavior, sales, inventory, and marketing.
• Develop predictive models to forecast sales, identify trends, and anticipate customer preferences, thereby optimizing inventory management and product recommendations.

Insight Generation:

• Identify key metrics and performance indicators to measure the effectiveness of marketing campaigns, website features, and product offerings.
• Extract actionable insights from data to support strategic business initiatives, such as pricing optimization, personalized marketing campaigns, and product assortment planning.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions that drive value.

Experimentation and A/B Testing:

• Design and execute A/B tests to evaluate the impact of website optimizations, promotional activities, and customer engagement strategies, iterating based on data-driven/empirical findings.

Data Visualization and Reporting:

• Collaborate with marketing, sales, and product teams to provide regular updates and insights derived from data analysis, guiding decision-making processes.
• Develop visually compelling dashboards and reports using tools like Looker, Tableau or Power BI to communicate findings and performance metrics to stakeholders, enabling data-driven decision-making at all levels of the organization.

Continuous Improvement:

• Stay informed about industry trends, emerging technologies, and best practices in data science and e-commerce, applying new methodologies to enhance our analytical capabilities and drive continuous improvement and maintain a competitive edge in the eCommerce landscape.

Qualifications:

• Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or related quantitative field.
• Proven experience (8-10 years) as a Data Scientist or similar role in an eCommerce or retail environment.
• Proficiency in programming languages such as Python, R, or SQL, with hands-on experience in data manipulation, analysis, and modeling.
• Building out data lake cloud infrastructure within solutions like AWS, Snowflake, Databricks, Cloudera, Google Cloud, Azure, etc.
• Strong understanding of statistical concepts and machine learning algorithms, with the ability to apply them effectively to real-world problems.
• Proficient with implementing a data lake.
• Experience with data analytics, visualization tools (e.g., Looker, Tableau, Power BI, Domo, etc.) and proficiency in crafting compelling visualizations to convey insights.
• Excellent communication and collaboration skills, with the ability to effectively present complex findings to both technical and non-technical stakeholders.
• Prior experience working with eCommerce platforms, familiarity with web analytics tools (e.g., Google Analytics), and knowledge of digital marketing concepts are desirable.
  Benefits:

Compensation:

$135,000.00 - $145,000.00

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 ­­­­­­­­4/4/2024.

Location:

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