Compensation Overview

Job Duties:

 Optimize the internal data science demand forecasting model for precise sales
predictions by leveraging advanced SQL and Python techniques.
 Engage in collaborative efforts with third-party forecasting tools(Relex) to refine
algorithms and enhance accuracy in demand forecasting for sales prediction. Take
an active role in driving the project with the Relex, emphasizing the need for
impeccable data accuracy in the information we provide. Proactively seek
potential opportunities for enhancing demand forecast accuracy, demonstrating a
commitment to continuous improvement in our forecasting processes.
 Sustain and optimize both in-house and third-party replenishment tools to
streamline the purchasing process. Communicate the outcomes of demand
forecasting by conveying the analyzed results from both the in-house data science
model and the third-party model to the demand planning team through the ERP
system.
 Ensure a seamless delivery of insights to facilitate informed decision-making
within the team.
 Develop and implement tailored algorithms for demand forecasting, inventory
planning, and promotional strategies, focusing on direct import items.
 Take charge of strategic planning for process enhancement within the in-house
ERP and WMS systems, utilizing data gathered and analyzed from SQL Server
databases.
 Collaborate with the Software Development and Data Engineer teams to
implement updates and modifications to the SQL Server database through Jira,
ensuring improved data accessibility and accuracy.
 Identify business problems and management objectives that can benefit from data
analysis, such as addressing over-forecast and overstock issues. Visualize findings
through Microsoft
 Excel/PowerPoint for clear communication and actionable insights.

Job Requirements: Job entails working with and requires master’s degree in Data
Science, Information Science or relevant with Candidate must have 1-year professional
experience in:
Python, SQL, Power BI, Tableau, Java, Jira, WMS system, ERP system.
Employers will accept any suitable combination of education, training, or experience.
Employer will accept a master’s degree (or foreign equivalent) in one of the requisite
fields followed by 1 years of experience in the position Supply chain analyst, logistics
analyst, data analyst, or related.

Benefits

• Comprehensive health insurance package, including medical, dental, and vision.  PPO/HMO packages
• 401k, 4% company match
• Equity and Bonus
• Vacation, sick and holiday time off
• Monthly mobile stipend
• Monthly Weee! Points credits

Compensation Range

• The US base salary range for this full-time position is $79,976
• This role may be eligible to discretionary bonus, incentives and benefits 
• Our salary ranges are determined by role, level, and location

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

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