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 for Fortune 500 companies, helping them generate valuable insights from their data.
• As a Lead Data Scientist, you will work on cutting-edge 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 a model ready for tools like Coupa or Llamasoft.
• You will be responsible for getting data and identifying/correcting outliers in capacity, throughputs, and transportation costs.
• The role involves creating models for auto-completion of missing data and new routes, as well as automating the creation of common scenarios, such as optimizing warehouse locations.
• You will connect multiple isolated models, focusing on mathematical optimization models (mixed-integer linear programming).
• The position requires combining data science with supply chain knowledge to adapt to available data.
• You will develop heuristics to accelerate NP-hard network design models that currently take days to run, aiming to automate the running of hundreds of models in the background.
• Supply chain analysis responsibilities include normalizing historical data to reflect the supply chain accurately, identifying deviations from the plan, analyzing bottlenecks, and finding general insights that analysts might overlook.
• You will also identify trends where operations are outside of 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.
• Candidates must have 7+ years of experience in Data Science and Machine Learning.
• A minimum of 7+ years of hands-on experience in Python and PySpark is necessary.
• 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.

Benefits:

• The position offers the opportunity to work on innovative and impactful projects within a leading analytics consulting firm.
• Employees will have the chance to collaborate with cross-functional teams and contribute to solving complex business problems.
• The role provides a platform for professional growth and development in the fields of Data Science, Machine Learning, and AI.
• Working at Tiger Analytics allows for engagement with Fortune 500 companies, enhancing career exposure and networking opportunities.