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Posted June 15th

Data Scientist

New York, New York

Pernod Ricard USA logo


Pernod Ricard USA



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Posted June 15th

Data Scientist

New York, New York






Full Time

Pernod Ricard USA (PRUSA) is part of the Pernod Ricard Group, the #2 alcohol beverage company in the world with a strong portfolio of brands such as Absolut Vodka, Chivas Regal, Avion Tequila, Jameson Irish Whiskey, and Kahlua, to name a few. At PRUSA, we are creators of conviviality: our purpose is to bring people together every day and create the moments that make life worth living. It means working with great people from diverse backgrounds who are passionate about our brands, our industry, and spirit.

A new division of Pernod Ricard is the introduction of our Transformation organization which spearheads data analytics, insights generation, IT strategy, e-commerce and digital growth. 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's growth. Successful candidates are intellectually curious builders who are biased toward action, scrappy, entrepreneurial, and proactive. The Data Scientist will be physically and administratively based in the PR North America office in New York but will report into the Head of Data & Analytics based out of our Global HQ office in Paris.

In this role, you will be leveraging digital, data and AI to help Pernod Ricard conquer new frontiers and be the most innovative Wine & Spirits company in the world in terms of AI and digital, which is shaping new ways we do business with high-value applications such as end-to-end forecasting and planning along with ROI measurement for advertising and promotional spending. This allows us to better anticipate needs, adapt to, and shape changes in consumer demand and behaviors.

Our 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. This will be done by:

  • Reinventing the way sales forces operate, equipping them with data-driven tools to support the prioritization of their efforts
  • Optimizing the pricing of products in real time.
  • Optimizing marketing spend allocation across channels
  • Deploying some flagship projects, such as 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 market.
  • 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.

  • Major Responsibilities / Accountabilities:

    You will integrate a brand new team including other Data Scientists, Data Engineers, Data Stewards, Software Engineers, Data Analysts and Engagement lead and work closely with the deployment leads and field experts. Under the supervision of the Head of Data & Analytics, you will oversee building models and performing analysis needed for the digital use cases within the Key Digital Programs:

  • Understand business issues and translate these into technical needs
  • Gather and organize large and complex data assets, perform relevant analyses and modeling
  • Ensure analytics model quality assurance and validate them (peer validation)
  • Define model monitoring criteria
  • Communicate hypotheses and findings in a structured way
  • Partner with Data Analysts to present outcomes of our models
  • Partner with Data Stewards to identify necessary data to build our models
  • Partner with Data Engineers to build necessary data pipelines
  • Work closely with Data industrialization team (IT) to ensure that the POC will be eligible for industrialization
  • Leverage existing or create new data science capabilities within Pernod Ricard to bring value through business use cases
  • Actively contribute to Data Science community

  • Job Scope :

  • Key External stakeholders: Consulting firms, Tech companies
  • Internal stakeholders: IT data scientist, IT Platform lead, Project managers, experts
  • Job scope: international with a dedication to the Asia region, with a focus on the hub sub-region

  • Qualifications:

  • 5+ years as a Data Scientist with extensive experience in building analytical solutions, preferably working in a large corporate environment
  • Experience in alcohol beverage or consumer goods/CPG industry is a strong plus
  • Pragmatic and capable of solving complex issues through innovative solutions
  • Ability to understand business needs and influence key stakeholders
  • Excellent communication skills including verbal, written, and listening
  • Self-starter who thrives in a collaborative environment and is results oriented

  • Technical Skills:

    Experience in core analytics methods (illustrative)

  • Statistics (t-tests, ANOVA)
  • Segmentation/clustering techniques
  • Geographic cluster recognition and manipulation techniques
  • Predictive modeling: e.g. logistic regression, linear regression
  • Machine learning: e.g. LCA, Random Forest, neural networks
  • Network analysis (location-allocation, traveling salesperson, vehicle routing problem)
  • Time series analysis (ARIMA, VAR, etc.)
  • Text mining & unstructured data analytics
  • Simulation: e.g. MC, dynamic, discrete event
  • Optimization: e.g. linear programming, heuristic

  • Familiarity with a broad base of analytics tools (illustrative)

  • Good knowledge of cloud computing. Knowing Azure is a plus
  • Data tools: Storage (Azure Datalake, SQL Database, AAS), processing and orchestration (Databricks, ADF, LogicApp), exploration (Power BI, Superset), API Management and Azure Functions for serverless applications
  • Project management & support: JIRA projects & service desk, Trello, Confluence, Sharepoint

  • Job Posting End Date:

    Target Hire Date :

    Target End Date :