Professional, Data Science, Digital Insights

Key Skills

Big Data Technology, Data Modeling, Data science techniques, Google BigQuery, Java Programming, Looker, Machine learning techniques, Mathematics, Python Programming, SPARK Programming, SQL, Statistics, TensorFlow

Job Description

 Data continues to transform organizations. We are recruiting a data science to help us turn data into actionable insights that drive value for our customers, our vendors and our associates.

 The ideal candidate is a data scientist who can meet with business stakeholders, understand the problems they are trying to solve, then go and solve them. We are leveraging data from formerly disparate data sources; our ideal candidate can both wrangle and harmonize data while finding value data through modeling techniques including AI & ML and black-box solutions from third parties.

• Ability to meet with senior stakeholders to understand business problems and present findings. Communication and willingness to assert yourself is key
• Work with large datasets. Knowledge of programing languages. We are using the Google Cloud Platform through BigQuery. There are a variety of compatible modeling tools you can use.
• Ability to go deep into datasets and propose ideas of ways the data can generate value for our various stakeholders. What are ways we can use the data as-is? What additional insights could we leverage if we augmented it with first party or third-party data? What existing solutions exist in the market
• Model development. Leverage Machine Learning, AI, economic, geographic, and applied mathematical models to address our complex business problems. Models will be both causal and predictive.
• Maintain the health of machine learning systems implemented in market. Evaluate speed, accuracy, reliability and performance. Our ability to get insights into market is critical; our success is evaluated off our learnings and improvements.
• Participate in R&D projects including reading existing bodies of literature and staying current in research and academic communities by participating in presentations, attending conferences and publishing papers of successful insights to help Ingram Micro grow our academic reputation.
• Be curious. What business problems can we solve with data? How can analytics or data science make our organization better?
• We can teach you tools, we can’t teach you attitude and thought process. If you’re unfamiliar with the tools we’re using, show us how you’ve learned what you do know, we believe you can get up to speed quickly 

 Tools we use:

• Google Cloud Platform
• Big Query (SQL-Based)
• Vertex AI
• AutoML
• Spark
• BigQuery ML
• TensorFlow
• Looker
• MS Office Suite

What you bring to the role:

• Masters in Statistics, Operations Research, Applied Mathematics, Physics, Engineering, Economics or related technical field AND 4+ years of quantitative experience
• Ability to apply insights to high impact questions with immediate and long-term relevance
• Experience performing econometric and statistical analysis on very large granular transaction level data sets
• Experience developing causal models to derive insights about market behavior and building predictive models to forecast upstream and downstream market activities
• Experience with machine learning and AI models