Sr Data Scientist – Finance

Ingram Micro • Irvine, CA

94d • $107,500 - $182,800

About The Position

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.

Requirements

• 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 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.
• Expertise in forecast and time series models; time series forecasting using deep learning models is 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 is a plus.
• Experience deploying models in production and in the cloud with model monitoring and re-training pipelines deployment is 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, and quickly adapt and grow.
• Strong financial and analytical acumen and business insights with ability to draw fast conclusions on opportunities.

Nice To Haves

• Experience with time series forecasting using deep learning models.
• Experience building AI Agents.
• Experience deploying models in production and in the cloud with model monitoring and re-training pipelines deployment.

Responsibilities

• 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.
• Integrate insights into our global platform and support by KPIs to monitor and analyze performance across profitability maximization, quality of revenue growth, and the lifetime value of our partners/end customers.
• Liaise between Commercial Finance and the Global Platform Group on development and integration of growth models, insights, self-reporting capabilities, data cleansing, advanced data visualization, and exception analysis.
• Ensure data and financial modeling comply with regulatory requirements and internal policies.

Benefits

• Healthcare benefits
• Paid time off
• Parental leave
• 401(k) plan and company match
• Short-term and long-term disability coverage
• Basic life insurance
• Wellbeing benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree