Develop and maintain machine learning and forecasting solutions for store, warehouse, and ATM systems.
Compensation
Year End Bonus: one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year.
Responsibilities
Develop and maintain machine learning and forecasting solutions using Python and SQL
Build scalable ML and data pipelines using Databricks, Spark/PySpark, and Delta Lake
Develop automated deployment processes using Databricks Asset Bundles (DABs) and CI/CD
Partner with data scientists, cloud engineers, and business teams to produce demand forecasting models
Monitor model and pipeline performance and troubleshoot production issues
Requirements
Bachelor’s degree in computer science or another analytical discipline, or equivalent experience
The Senior Power BI & Data Analyst transforms complex commercial, operational and financial data into actionable insights that support strategic decisions, revenue growth, profitability and operational efficiency.
Responsibilities
Design and maintain enterprise Power BI dashboards, reports and semantic models.
Build advanced DAX measures, Power Query transformations and dimensional models.
Integrate ERP, CRM, finance and supply chain data; implement row-level security and refresh monitoring.
Developing innovative data products and implementing automation, advanced AI/ML, and Generative AI capabilities to drive business value through demand forecasting and analytics.
Responsibilities
Develop and maintain high-accuracy short-term and long-term demand forecasts at Automotive Segmentation and Powertrain levels.
Build, validate, and deploy time-series models (e.g. ARIMA) and ML algorithms to identify market trends.
Proactively integrate Generative AI / Agentic AI and other modern AI tools into daily workflows.
Act as a strategic partner to Sales, Marketing and Finance teams, translating analytical outputs into clear business recommendations.
Lead monthly forecasting reviews, presenting findings to senior stakeholders.
Senior Supply Chain Data Scientist responsible for building and optimizing machine learning and statistical models to improve demand predictability, inventory decisions, and supply chain responsiveness.
Responsibilities
Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use.
Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights.
Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations.
Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision‑making.
Requirements
Bachelor’s degree in computer science, Computer Engineering, Data Science, Statistics or relevant technical field
Build and optimize machine learning and statistical models to improve demand predictability, inventory decisions, and supply chain responsiveness.
Compensation
The hourly rate for this position is between $65.00-$70.00 per hour.
Responsibilities
Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use.
Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights.
Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations.
Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision-making.
Requirements
Bachelor's degree in computer science, Computer Engineering, Data Science, Statistics or relevant technical field
Responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across Consumer and Community Banking operations, focusing on time-series forecasting, inferential statistics, and data analysis.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity.
Responsibilities
Identify opportunities to enhance existing call volume and productivity forecasting process.
Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings.
Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
Taking complex results and communicating them in an easily understood way.
Explore opportunities for creating frameworks for automation using Python.
Requirements
MS/PHD Degree in quantitative discipline such as Statistics
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