Lead Data Scientist- Supply Chain
Job Description
Description
Be among the first 25 applicants
Tiger Analytics is seeking an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Lead Data Scientist at Tiger Analytics, you will work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.
Key Responsibilities:
- Accelerate and improve the network design process, from raw data to models for tools like Coupa or Llamasoft.
- Data cleaning: identifying and correcting outliers in capacity, throughputs, and transportation costs.
- Develop models for auto-completion of missing data and new routes.
- Automate scenario creation, such as optimizing warehouse locations dynamically and globally.
- Connect multiple models, focusing on mathematical optimization models (mixed-integer linear programming).
- Combine data science with supply chain knowledge to adapt models to available data.
- Develop heuristics to accelerate NP-hard network design models currently taking days to run.
- Automate the execution of hundreds of models to suggest improvements without manual intervention.
Supply Chain Analysis:
- Normalize historical data (3-5 years) to reflect the supply chain accurately, removing anomalies like strikes.
- Identify deviations from the plan and analyze root causes.
- Analyze bottlenecks in the supply chain.
- Discover general insights, such as unexpected correlations across different supply chain parts, requiring creative thinking beyond simple correlations.
- Identify operational trends outside normal parameters for KPIs or actions.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field.
- 7+ years of experience in Data Science and Machine Learning.
- 7+ years of hands-on experience in Python and PySpark.
- Strong stakeholder management skills, including engagement with business units and vendors.
- Expertise in developing supervised and unsupervised ML models; knowledge of time series and demand forecasting is a plus.
- Industry experience in supply chain is required.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Consulting
Industries
- IT Services and IT Consulting
Referrals increase your chances of interviewing at Tiger Analytics by 2x.
Get notified about new Lead Software Engineer jobs in Toronto, Ontario, Canada .
Note: The original job posting does not indicate that this position is expired; therefore, IsExpired is false.
#J-18808-Ljbffr
Company
Tiger Analytics
Location
Toronto
Country
Canada
Salary
125.000
URL