Data Scientist

We’re looking for a passionate and talented Data Scientist to join our rapidly growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to sustain Pernod-Ricard growth. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.Context:Pernod-Ricard is a leading worldwide Wine and Spirits company. This position was made possible thanks our very entrepreneurial, innovative and risk-taking culture from the beginning as the Group strongly extended its geographical and products footprint across time, starting from absinthe and anise drinks in France to a portfolio of 400+ brands brought to customers and consumers across 160+ countries.Leveraging digital, data and AI is becoming increasingly critical for consumer goods companies—it is becoming self-evident that the champions of those topics will be the leaders of today and tomorrow:AI and Data are shaping new ways to do business in the Consumer sectors with high-value applications such as end-to-end forecasting and planning along with ROI measurement for advertising and promotional spending.This trend is reinforced by fast-moving and complex industry challenges, which further increases the need to anticipate, adapt to, and shape changes in consumer demand and behavior.In this context, Pernod Ricard, in line with its entrepreneurial culture, has the ambition to conquer new frontiers and be the most innovative Wine & Spirits company in the world in terms of AI and digital. The ambition is to leverage the uniqueness of the depth of our brand portfolio to address the right product & service at the right time, at the right price to the right person (at a time when market fragmentation is increasing in the Wine and Spirits sector). This will be done byReinventing the way sales forces operate, equipping them with data-driven tools supporting the prioritization of their effortsOptimizing the pricing of products in real time.Optimizing marketing spend allocation across channelsWe have already started this transformation agendaWe have already deployed some flagship projects, e.g.,Prioritization in France and in the US of Sales Forces allocation across points of sales based on business potential and image by using various sources of data (point of sales, sales data by SKU, Sales Rep data, social network, third-party data)Prioritization of outlets through social media data & automated updates to increase market penetration and better calibration of our route to marketWe have launched a global transformation program on Data & AI with strong sponsorship from the CEO and his top management and large financial investment.Projects are delivered in production on our “Data Platform” built in partnership with our best in class IT team leveraging the most recent technologies available on the public cloud.We built in partnership with our HR team a Data Academy program to certify internally our employee from “Grape to XO levelRoles and responsibilities:To help deliver the expected value on our Key Digital Programs, you will integrate the Data, Design and Analytics team where various profiles work together (Data Scientists, Data Analysts, Machine Learning Engineer, Design team, Data Office team). The purpose of the position is to support the life cycle of our digital solutions we aim to deliver to our affiliates for them to boost their digital acceleration.Build relevant data science products for our marketsUnderstand business issues and translate these into technical needs Gather and organize large and complex data assets, perform relevant analyses and modelingEnsure Analytics model quality assurance and validate them (peer validation)Communicate hypotheses and findings in a structured wayCollaborate to industrialize, maintain, and improve our data science productsPartner with Data Analyst team to present outcomes of our modelsPartner with Data Steward to identify necessary data to build our modelsPartner with Data Engineer to build necessary data pipelinesWork closely with Data industrialization team (IT) to ensure that the POC will be eligible for industrializationLeverage existing or create new data science capabilities within Pernod-Ricard to bring value through business use casesActively contribute to Data Science communityJob Scope :Key External stakeholders: Consulting firms, Tech companiesInternal stakeholders: IT data scientist, IT Platform lead, Project managers, expertsJob scope: 100% internationalProfile required:Pragmatic and capable of solving complex issuesResult-oriented and capable of challenging other stakeholdersAbility to understand business needsGood communicationPush innovative solutionsSelf-starter who thrives in a collaborative environmentGood knowledge of Python and GiTExperience in core analytics methods (illustrative)Statistics (t-tests, ANOVA) Segmentation/clustering techniquesGeographic cluster recognition and manipulation techniquesPredictive modeling: e.g. logistic regression, linear regressionMachine learning: e.g. LCA, Random Forest, neural networksNetwork analysis (location-allocation, traveling salesperson, vehicle routing problem)Time series analysis (ARIMA, VAR, etc.)Text mining & unstructured data analyticsFamiliarity with a broad base of analytics tools (illustrative)Good knowledge of cloud computing. Knowing Azure is a plusData tools: Storage (Azure Datalake, SQL Database, AAS), processing and orchestration (Databricks, ADF, LogicApp), exploration (Power BI, Superset), API Management and Azure Functions for serverless applicationsData science experience in a large company2-5 years as a Data Scientist with extensive experience in building analytical solutionsExperience in an FMCG company is a strong plusJoining usWorking at Pernod-Ricard is the perfect place for you to develop your Data Science skills in a holistic way:We use Agile ways of working, allowing you to work in multidisciplinary teams deeply integrated with business and market. You will develop both technical skills and business / soft skills.Top-notch team & tools:Our team encompasses experienced and proven expertsWe already have a central data platform in Azure connected to markets through snowflake.Our core data science team is already in place and uses cutting-edge data science tools to answer business questions (machine learning, deep learning, statistical learning, optimization)Our primary language is python but we are open to test and incorporate any language that fits our needs (be ready to learn!)Variety of projects and day-to-day work:We are present in 160+ markets with 400+ brands globally, we can propose an endless variety of projects.Our commitment for a multi-year transformation journey will allow you to participate in projects with different maturities: from proof of concept to production.Your day-to-day work will be varied as our team will focus on 3 priorities: push forward boundaries (imagine creative solutions to hack Pernod-Ricard), delivering qualitative tech assets for the company and facilitate adoption of the solution across the company.How many of us have been in a job where we can truly be ourselves, where we get up every day feeling at ease and confidant to share who we are with people we work with? At Pernod-Ricard we are Proud to Belong, Empowered to Perform and Committed to Care.We call it conviviality. We believe that this spirit should flow through to your work. Pernod Ricard is the No.2 worldwide producer of wines and spirits with consolidated sales of €8,448 million in FY20. Created in 1975 by the merger of Ricard and Pernod, the Group has developed through organic growth and acquisitions: Seagram (2001), Allied Domecq (2005) and Vin&Sprit (2008). Pernod Ricard, which owns 16 of the Top 100 Spirits Brands, holds one of the most prestigious and comprehensive brand portfolios in the industry, including: Absolut Vodka, Ricard pastis, Ballantine’s, Chivas Regal, Royal Salute, and The Glenlivet Scotch whiskies, Jameson Irish whiskey, Martell cognac, Havana Club rum, Beefeater gin, Malibu liqueur, Mumm and Perrier-Jouët champagnes, as well Jacob’s Creek, Brancott Estate, Campo Viejo, and Kenwood wines. Pernod Ricard’s brands are distributed across 160+ markets and by its own salesforce in 73 markets. The Group’s decentralised organisation empowers its 19,000 employees to be true on-the-ground ambassadors of its vision of “Créateurs de Convivialité.” As reaffirmed by the Group’s strategic plan, “Transform and Accelerate,” deployed in 2018, Pernod Ricard’s strategy focuses on investing in long-term, profitable growth for all stakeholders. The Group remains true to its three founding values: entrepreneurial spirit, mutual trust, and a strong sense of ethics, as illustrated by the 2030 Sustainability and Responsibility roadmap supporting the United Nations Sustainable Development Goals (SDGs), “Good times from a good place.” In recognition of Pernod Ricard’s strong commitment to sustainable development and responsible consumption, it has received a Gold rating from Ecovadis. Pernod Ricard is also a United Nation’s Global Compact LEAD company. #J-18808-Ljbffr