Sr Data Scientist – 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!

The Senior Data Scientist, Finance Insights Associate will play a key role in developing data driven financial insights that maximize quality of revenue and profitability. The scientist will be on the frontline, converting requirements from the global commercial finance stakeholders into transformative financial models, including integrating AI technologies. The ideal candidate will have strong analytic skills and the ability to effectively communicate analysis and recommendations to a non-technical audience.

With a long-term growth strategy fueled by the Company’s Global Platform Strategy, Ingram Micro’s Commercial Finance organization is tasked with generating and leveraging transformational business insights into accelerated growth and improved profitability. Ingram Micro’s Commercial Finance organization is developing a set of world-class financial models that effectively leverage digital technology, financial model advancements, and end-to-end processes. 

• Optimize Go-To-Market Strategies for our Channel Financing and Global Vendor Engagement BUs: Utilize advanced tools, algorithms, and AI technologies to identify emerging trends and growth opportunities across partners/end customers and vendor incentive programs. These insights will be integrated into our global platform and will be supported by KPIs to monitor and analyze performance across profitability maximization, quality of revenue growth, and the lifetime value of our partners/end customers.

• Finance Analytics Engine: Liaise between Commercial Finance and the Global Platform Group on development and integration of growth models, insights, self-reporting capabilities, data cleansing (scrubbing and joining large data sets from multiple systems before they can be used for analytics), advanced data visualization (converting large data sets into easily-understood charts and graphs), and exception analysis (identifying exceptions, trends, and other insights through business logic). 

• Risk Management & Compliance and Governance: Ensure data and financial modeling comply with regulatory requirements and internal policies.

What you bring to the role:

• Bachelor’s degree in Finance, Economics, Statistics, Engineering, Data Science, Computer Science or related technical field. Master’s or PhD preferred.
• Proven experience (5+ years) in Financial analysis (industry, consulting, government, academics, or post-doc work), with a strong background in AI and Machine Learning applications in finance.
• Exposure to and worked with complex and large data sets including proven ability to manage data quality, testing, and manipulation with user/stakeholder requirements to realize business case benefits
• Expertise in forecast and time series models; time series forecasting using deep learning models (a plus)
• Experience with optimization techniques
• Experience developing Machine Learning, AI, Econometric, and Statistical models on large granular transaction level data sets
• Experience with tools such as Python, Jupyter Notebooks, SQL, R, STATA, SAS, Julia, or MATLAB.
• Experience with GCP (Big Query, VertexAi a plus)
• Experience building AI Agents (a plus)
• Experience deploying models in production and in the cloud with model monitoring and re-training pipelines deployment (a plus)
• Experience cleaning, aggregating, and pre-processing large granular data from varied sources, including complex relational databases.
• 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.
• Effective verbal and written communication skills; the ability to collaborate with internal and external partners
• Experience in innovation and use of digital technologies to solve business issues beyond “scorecard” keeping.
• Ability to think creatively, disrupt long-standing views or processes, deal with ambiguity (building from a clean sheet of paper), and quickly adapt and grow.
• Strong financial and analytical acumen and business insights with ability to draw fast conclusions on opportunities and an obsession to act even with imperfect information. 
• Excellent verbal and written communication skills, with the ability to convey complex digital financial concepts to non-technical stakeholders.

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 applied financial 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 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.