Sr Data Scientist - Cloud Growth (Finance)
Accelerate your career. Join the organization that's driving the world's technology and shape the future.
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com
Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey!
Ingram Micro's Insights & Recommendation (InR) practice is a profit generating strategic group that provides IT channel stakeholders with the insights and industry intelligence to generate more business, expand reach, and achieve pinpoint accuracy in their sales efforts. The team develops high margin science offerings for Ingram's Global Partners and internal Business Units across the company.
Featuring large transactional, product, and inventory databases across the IT ecosystem, the InR teams develop the science and products driving Ingram's lead analytics, recommendation engines, search, supply chain optimization, propensity models, industry performance insights, customer health analysis, product lifecycle analysis, as well as forecasts and growth targets.
Your role:
We are seeking an experienced Senior Data Scientist to develop and expand the science behind Ingram's cloud growth. 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 a world class data infrastructure to develop large-scale models with immediate and long-term relevance. You will focus on building new and refining existing models to identify growth opportunities in the Cloud technology space. As a Senior Data Scientist you will build models, work with large granular data sets, communicate analysis to key internal and external stakeholders, be positioned as a Subject Matter Expert, mentor junior associates, and manage a portfolio of data products.
What you bring to the role:
- B.S. or Masters (Ph.D. preferred) in Computer Science, Statistics, Operations Research, Applied Mathematics, Physics, Engineering, Economics, or related technical field required
- 5+ years of quantitative experience (industry, consulting, government, academics, or post-doc work)
- Ability to apply insights to high impact questions with immediate and long-term relevance
- Expertise in Machine Learning algorithms
- Expertise in the Cloud business
- Development and implementation of propensity models at scale
- Experience with optimization techniques
- Design and execute field experiments to draw insights from market behavior
- Expertise with supervised and unsupervised learning techniques
- Experience cleaning, aggregating, and pre-processing large granular data from varied sources and data types
- Develop Machine Learning, AI, Econometric, and Statistical models on very large granular transaction level data sets
- Experience with tools such as Python, Jupyter Notebooks, SQL, R, STATA, SAS, or MATLAB
- Experience with GCP (Big Query, VertexAi a plus)
- Experience developing AI Agents (a plus)
- Effective verbal and written communication skills; the ability to collaborate with internal and external partners
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.
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The typical base pay range for this role across the U.S. is USD $107,500.00 - $182,800.00 per year.
The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate's primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.
At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all these duties.
Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
Ingram Micro Inc. 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.
