Data Scientist & ML Engineer in OrgPro

About OrgPro

OrgPro is a workforce advisory platform helping companies thrive in today’s new era of efficiency and profitability. Identifies improvements at any company by leveraging real-time operating models and benchmarks of competitors, industry best practices and client business context. Assists PE's with preliminary diligences and value creation plans and Management teams with org design and staffing. Built by former Google product leaders, workforce consultants, and private equity operators. More information may be found on www.OrgPro.ai

Build the first application that categorizes any company’s org structure with external data and identifies workforce improvement opportunities. Ie, automate one of the most valuable drivers of the >$1B workforce consulting industry.

Data Scientist Lead will manage all back-end development; initially a manual, hands-on process of wrangling various data points, interpreting relationships, and imputing missing fields. A data-detective like mind-set that can absorb business context will thrive here. Will increasingly automate these motions based on trade secrets provided and new relationships identified. Ability to hire and manage back-end team as needed. Automation applications will ultimately be used by enterprises directly, and it’s a race to be the first to provide this.

Technical Requirements

• Data Programming - Expertise in Python, R, and/or SQL to wrangle data
• Machine Learning and Data Imputation - Rule-based modeling as a foundation; more sophisticated AI and statistics over time to create rosters
• Comparative Analysis - Develop mechanism to identify incremental impact of org structure in business performance and automate suggesting changes (eg, Bayesian AI modeling)
• Automation Tools - Automate data processing and report generation pipelines
• Data Architecture and Storage - Design data storage and ETL pipelines
• Data Visualization (Tableau) - Customize Tableau dashboards as needed

Leadership Requirements

• Technical/Data Strategy - Lead technical/data strategy to automate tasks with missing data
• Team Leader - Hire/manage data resources as needed
• Business Partner - Partner and support a business leader/subject matter expert
• Fluent English Speaker - Native mastery

Mix of salary, bonus, equity