Professional, Data Science-IND

Description

Data Scientist II – Data Science 

COMPANY OVERVIEW 

Ingram Micro, a portfolio company of Platinum Equity, delivers a full spectrum of global technology and commerce and fulfillment services. With a global base of more than 170K Customers and over 1.8K Vendors, including the world’s best-known technology companies (e.g., Acer, Amazon, Apple, Dell, Cisco, Citrix, Google, HPE, HPI, HTC, IBM, Lenovo, LG, Microsoft, Samsung, VMware, Zebra and many others), Ingram generates nearly $50B in annual revenue. Given a global reach and focus on IT solutions and services, cloud, mobility, and technology lifecycle, Ingram enables partners to find new opportunities and operate more profitably in their IT areas of focus. 

INGRAM MICRO INSIGHTS & RECOMMENDATION PRACTICE 

Ingram Micro's Insights & Recommendation (InR) practice is a profit generating strategic department that provides IT channel stakeholders with the insights and industry intelligence to generate more business, expand reach, and achieve pinpoint accuracy in their sales and marketing efforts. The department develops high margin science offerings for Ingram’s Global Partners and internal Business Units across the company including Sales, Marketing, Operations, and Finance.  

Featuring large transactional, product, and inventory databases across the IT Distribution Channel, the InR department develops the science and products driving Ingram’s product recommendations, search, lead analytics, recommendation engines, propensity models, industry performance, customer health analysis, product lifecycle analysis, forecasts and growth targets, as well as supply chain optimization.  

THE POSITION 

We are seeking an experienced Data Scientist to develop and expand solutions for Ingram’s recommendation and search capabilities. 

The role will collaborate with a diverse team of highly talented Ph.D.s, M.A.s, and industry experts to use advanced scientific techniques on world class data infrastructure to develop large-scale models with immediate and long-term relevance. You will focus on building new and refining existing recommendation engines and search algorithms. As a Data Scientist you will build models, work with large granular data sets, communicate models to key internal and external stakeholders, be positioned as a Subject Matter Expert, and own sub-streams of projects that requires effective communication with cross-functional teams. 

Qualifications and Role 

• Ph.D. (or technical Masters) in Computer Science, Statistics, Operations Research, Applied Mathematics, Physics, Engineering, Economics, or related technical field 
• 5+ years of quantitative experience (industry, consulting, government, academics, or post-doc work) 
• 3+ years experience with SQL and python 

• Strong knowledge of machine learning algorithms, including supervised and unsupervised methods. 
• Experience with popular libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch is highly desirable. 
• Experience working with Recommender Systems 
• Experience working in cloud environments (GCP/AWS) 
• Experience cleaning, aggregating, pre-processing and visualising large granular data from varied sources, including complex relational databases. 

• The ability to design and execute field experiments to draw insights from market behaviour, and measure the performance of deployed solutions 
• Strong problem-solving abilities and the capacity to apply data science techniques to real-world business challenges. 
• The ability and desire to learn new things quickly 
• Ability to apply insights to high impact questions with immediate and long-term relevance 
• Ability to work independently and in a highly engaged team environment. 

• Strong verbal and written communication skills; the ability to collaborate with internal and external partners 

Nice to Have 

• Some understanding of data modeling and data engineering techniques 
• Some understanding of MLOps concepts and best practices 
• Familiarity with Search engine algorithms/information retrieval would be an asset 

• Sense of humor 

For many transactions IM has end-to-end visibility across the supply chain: from upstream manufacturer, through distribution, to resellers, to final end users. This perspective provides opportunities to tackle the most challenging research and applied science questions with answers that drive strategic, operational, and tactical decisions with immediate and long-term relevance around the world. 

Ingram Micro Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.