$120K Base +10% Bonus
This will eventually turn to an oniste role in Irvine, CA.
Also open to those who live in/near Torronto, CA.

We are looking for a Data Scientist who will support growing Cloud business, building the framework to track performance and drive data-driven business decisions that will attain and retain our partners and grow their accounts.

The ideal candidate is adept at working with global customer success and sales and marketing teams to find opportunities for proactive sales engagement. They must have strong experience in creating models to identify and predict customer behaviors as well as increase sales efficiency across sales and marketing. He/She will stay ahead of our performance, predicting future outcomes by identifying actionable trends and patterns.

Responsibilities:
* Work with Global customer success team to prioritize efforts on our partner accounts that maximize customer retention (reduce churn), engagement (cross-sell opportunities), and lifetime revenue (loyalty).
* Work with Global sales and marketing to identify emerging trends and propensity to buy, driving sales productivity and effectiveness of marketing campaigns.
* Optimize go-to-market strategies for different regions/countries, comparing performance and identifying areas of focus
* Use predictive modeling to optimize customer experiences and sentiment by quantitatively identifying unmet needs that allow Ingram Cloud to differentiate our value
* Develop KPIs/Metrics to monitor and analyze performance at regional/country/product level to maximize profitability, growth and the lifetime value of our partners
What you bring to the role Qualifications:
* Minimum 5 years functional experience including a minimum of 3 years specific experience.
* They must have strong experience in building and implementing predictive models
* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
* Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets/multiple data sources
* Experience with reporting tools (Power BI, etc.) to effectively communicate actionable insights to stakeholders


We are an equal opportunity employer and make hiring decisions based on merit. Recruitment, hiring, training, and job assignments are made without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, or any other protected classification. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.