Sr Data Scientist – Finance

Sr Data Scientist – Finance page is loaded## Sr Data Scientist – Finance remote type:
Hybrid locations:
Irvine, CA, United States of America time type:
Full time posted on:
Posted 30+ Days Agojob requisition :
R-111939
** 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 atCome 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 largedata sets from multiple systems before they can be used for analytics), advanced data visualization(converting large data setsinto easily-understood charts and graphs), and exception analysis(identifying exceptions,trends, and other insightsthroughbusiness 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, Vertex Ai a plus)
* Experience building AI Agents (a plus)
* Experience deploying models in production and in the cloud with model monitoring and re-training…