Data Scientist, Supply Chain Analytics

Gymreapers - Nampa, ID

Full-time - Mid Level

Remote - Nampa, ID

About the position

Gymreapers is looking to add a Forecasting and Demand Planning professional to our powerful and fast-paced supply chain team. Headquartered in Nampa, Idaho, we work tirelessly to support our customers, athletes, and gym-goers on all fronts, all around the world. In this role, you will build, develop, and implement the overall demand planning and forecasting strategy for the business. This role will also offer query and reporting visualization expertise, supporting the business with live data correlated to company goals and key areas. This is an exciting opportunity for anyone who enjoys creating a strategic vision and being hands-on in the execution of it. As a Data Scientist in Supply Chain Analytics, you will develop reporting, analytics, and models that support supply chain decisions through the creation of queries, visualization, and dashboards. You will establish a demand planning strategy with the intent to reduce stock outs on inventory through forecasting variance reduction and inaccuracy elimination. You will be the subject matter expert around machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts. Additionally, you will partner closely with Finance, Marketing, Sales, Procurement, and Operations to develop data queries, reporting, and visualizations to assist with optimal buying decisions and the mitigation of risks within the Supply Chain. Your work will involve delivering and supporting production code that drives business-critical decision-making systems.

Responsibilities

• Develop reporting, analytics, and models that support supply chain decisions through the creation of queries, visualization, and dashboards.
• Establish a demand planning strategy with the intent to reduce stock outs on inventory through forecasting variance reduction and inaccuracy elimination.
• Be the subject matter expert around machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts.
• Partner closely with Finance, Marketing, Sales, Procurement, and Operations to develop data queries, reporting, and visualizations to assist with optimal buying decisions and the mitigation of risks within the Supply Chain.
• Deliver and support production code driving business-critical decision-making systems.

Requirements

• Bachelors or Masters in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc.
• 3+ years of practical experience working in data science systems (ideally in e-commerce).
• Experience delivering robust and maintainable production codebases that autonomously deliver data science models to downstream systems.
• Experience in statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT).
• Proficiency in Python, SQL, Git.
• Proficiency in using data visualization tools such as Tableau, or Bi-Reports.
• Passion for driving outsized business impact through applied science, humility, and collaboration.

Benefits

• Dental insurance
• Disability insurance
• Employee discount
• Health insurance
• Health savings account
• Life insurance
• Paid time off