Senior Supply Chain Data Science Lead

3 days ago

Calgary, Alberta, Canada Blend360 Full time

**About Blend360**

We are a premier AI services provider, committed to co-creating meaningful impact for our clients through the power of data science, AI, technology, and people. Our mission is to fuel bold visions by seamlessly aligning human expertise with artificial intelligence.

Job Description:

We seek an exceptional Senior Supply Chain Data Science Lead who will help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our clients' biggest challenges. As a key member of our team, you will build domain-specific knowledge regarding supply chain, working closely with stakeholders to understand key business problems and bring Data Science solutions to resolve.

Your Key Responsibilities:

  • Advance the development of capability for Data Science within supply chain.
  • Build domain-specific knowledge regarding supply chain.
  • Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
  • Promptly address client concerns and professionally manage requests.
  • Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints.
  • Problem-solve with practice leaders to translate the business problem into a workable Data Science solution.
  • Develop a project plan including milestones, dates, owners, and risks and contingency plans.
  • Create and maintain efficient data pipelines, often within clients' architecture.
  • Assemble large, complex data sets from client and external sources that meet functional business requirements.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making.
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state-of-the-art Data Science techniques and tools.

Qualifications:

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • At least 5+ years of professional experience in Advanced Supply Chain Data Science.
  • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS).
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches.
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive.
  • Experience with Spark and data-frames in PySpark or Scala.

Estimated Salary: $140,000 - $180,000 per year

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