Remote Lead Data Scientist- Supply Chain

Description:

• Tiger Analytics is seeking an experienced Senior Data Scientist to join their team.
• The company specializes in advanced analytics consulting, helping Fortune 500 companies derive insights from their data.
• As a Lead Data Scientist, you will work on innovative projects and collaborate with cross-functional teams to drive business value through advanced analytics.
• Key responsibilities include accelerating and improving the network design process, from raw data to model readiness for tools like Coupa or Llamasoft.
• You will be responsible for obtaining data and correcting outliers in capacity, throughputs, and transportation costs.
• The role involves creating models for auto-completion of missing data and new routes.
• You will automate the creation of common scenarios, such as optimizing warehouse locations dynamically.
• Connecting multiple isolated models using mathematical optimization models (mixed-integer linear programming) is a core task.
• The position requires combining data science with supply chain knowledge to adapt to available data.
• You will develop heuristics to speed up NP-hard network design models that currently take days to run.
• The goal is to automate the running of hundreds of models in the background for potential improvements without manual intervention.
• In supply chain analysis, you will normalize historical data to accurately reflect the supply chain and remove anomalies.
• You will conduct root cause analysis to identify deviations from the planned supply chain.
• Analyzing bottlenecks and finding unexpected correlations in the supply chain will be part of your responsibilities.
• You will identify trends operating outside normal parameters for any KPI or action in the supply chain.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field is required.
• A minimum of 7 years of experience in Data Science and Machine Learning is necessary.
• You must have at least 7 years of hands-on experience in Python and PySpark.
• Strong stakeholder management skills are essential, including engagement with business units and vendors.
• Expertise in developing supervised and unsupervised ML models is required, with knowledge of time series and demand forecasting being a plus.
• Experience in the supply chain industry is a must-have.
• Hands-on experience with Python, PySpark, and SQL for data querying and statistical modeling is required.

Benefits:

• Working at Tiger Analytics provides the opportunity to engage in cutting-edge projects.
• You will collaborate with talented professionals across various functions.
• The role offers the chance to drive significant business value through advanced analytics.
• You will have the opportunity to develop innovative solutions to complex business problems.
• The position allows for professional growth in a leading advanced analytics consulting firm.