MISSION:• Oversee the Pricing Science & Analytics team within the Customer Success organization globally (NA & EMEA). The team owns the pricing models, code base and analytics for the entire organization once in production.• Manage a team of up to 7 resources (data analysts, data engineers, data scientists).• Assess, maintain and enrich 100+ pricing data science models for B2B and e-commerce in production• Ensure the success of pricing solutions for 60+ businesses under subscription across 15+ industries.• Re-structure the process and workflow for the entire department to attain higher people retention and lower costs.DAILY GOALS:• Allocate resources dynamically to respond to incoming customer requests by priority level.• In charge of the "Boost the Documentation" initiative.• Provide mentorship and training to all resources according to their development journey.• Interview and recruit new hires (internally and externally) to grow the team from 2 to 7.METHODS:• Evaluate the health of our pricing software solutions and recommend enhancements.• Use Agile-like methodologies in a fast-paced and complex environment.• Communicate clearly and effectively with top executives internally and externally• Collaborate with the VP of Customer Success, VP of Science, Customer Success Managers and HR, to maximize customer and staff retention.VALUES:• People First • World-class pricing science and Customer experience• Passionate about Data, Analytics and AI for business applications

Team lead for EMEA's Pricing Science & Analytics group within the Customer Success organization.MISSIONS:• Implement complex pricing models that use competition price crawl, market demand forecasting, customer elasticity/sensitivity, quote win/loss analysis, margin driver decomposition...• Act as a Pricing Consultant and expert in profit and revenue optimization for B2B and B2C.• Evangelize and educate customers or prospects on the value of price optimization software.• Capture pricing performance lift within noisy data for RoI and benefit measurement.• Close engagement with major B2B corporations such as Metro Group, Cargill, Nexeo Plastics, Eaton Group, Spandex ...DAILY GOALS:• Perform statistical analysis of sales, find patterns within customer buying behaviours, and detect price change triggers.• Design and train ML-based algorithms to derive business actionable predictions (using decision trees, linear or logistic regressions, classification, clustering, random forests, K-means, one-hot encoding...) • Set up user-centric workflow and interaction with Zilliant price management Cloud-native solutions (SAAS)• Deploy seamless end-to-end data pipelines (automated from back-end to front-end) to productionTECH STACK:• Integrate Zilliant solutions back into varied customer IT systems (ERP, CRM, SAP, Salesforce, Conga, ...)• Hands-on experience with Big Data and parallelized computing using Amazon AWS/Redshift/Matillion/Squirrel/BeeKeeper• Expertise with Microsoft SQL Server, Tableau Analytics and Matillion job orchestration• Familiar with Python/Jupyter/Numpy/Pandas/Perforce/JIRA/Postman

MISSION:• Pricing and Data Science engagements for B2B industry leaders (IMI Precision Engineering, VWR/Avantor Group, Cargill, AO Johansen...)TECH STACK:• Expertise with Microsoft SQL Server, Tableau Analytics and Matillion job orchestration• Familiar with Python, Jupyter, Numpy, Pandas, Perforce, JIRA, Postman• Hands-on experience with Big Data and parallelized computing using Amazon AWS, Redshift, Matillion, Squirrel, BeeKeeper

Design and execution of Zilliant’s predictive pricing solutions :• Leading science engagements for major B2B distributors (CRH Group, Saint-Gobain Group) and manufacturers (Cargill)• Profit/revenue optimization and Price segmentation• Statistical data analysis, demand modeling, linear programming, pricing analytics, A/B testing• SQL, Tableau, SaaS, CPLEX, Python

Main responsibilities: End-to-end management of R&D funding:• Specialized in the French R&D tax relief scheme (Credit Impot Recherche)• Sectors: telecom, software, web & mobile, health, tech industries, finance• In charge of R&D tax credit for the civil years 2011 to 2014, under the responsibility of the CEO• About 2 M€ per year were saved (100 FTE)• Conducted 100+ eligibility audits to ascertain activities fall within the R&D tax relief guidelines• Analysed 1000+ projects on internal databases and CRM• Supervised the redaction of technical reports for the administration• Led a subcontractor and an R&D expert; tutored an intern (1 year)• Direct interface with the CFO, R&D teams, legal and business departments for due diligence• Delivered permanent advisory about R&D and tax relieves, legal aspects or specific expendituresAdditional activities: developed partnerships, obtained certifications, tutored an intern (1 year).

• Business development in the energy and industrial software industries• Customer relationship• Recruitment of 10+ engineers

• Modelling of renewable power networks• Performance analysis on predictive software/models (Statistics, stochastic data, Excel)• Methodology: 1/ modelled the power network with equations - 2/ provided stochastic data as inputs to the model - 3/ ran calculations - 4/ analysed and compared the results with different approaches - 5/ performed predictions of the future behaviours of the system with the better performing tool.

• Carried out the energy & carbon audit of SUPELEC buildings (800+ p.) (Data, Excel, parameterization)• Methodology: 1/ gathered the data for all kind of carbon-emitting expenses such as gas, heating and air-conditioning, waste, prints (1.5 months) - 2/ parametrized the data in our models (2 weeks) - 3/ determined the carbon footprint (2 weeks) - 4/ provided recommendations to the Executive Board to reduce the carbon emissions and, simultaneously, the operating costs (2 weeks)