Senior Data Scientist

Contenu de l'offre Senior Data Scientist chez Pernod Ricard

Context around the position:

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.

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 by

Reinventing the way sales forces operate, equipping them with data-driven tools supporting the prioritization of their efforts

Optimizing the pricing of products in real time.

Optimizing marketing spend allocation across channels

Purpose of the position:

Pernod-Ricard is looking for passionate and talented Senior Data Scientists to join our rapidly growing team. We have a few positions opened to permanent employees and freelancers/contractors, as of July 2021.

Working 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 experts

We 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.

We develop unique solution for our unique internal clients

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.

The main responsibilities are :

Based in Pernod Ricard Headquarters (Paris), you will integrate a brand-new team including Data Scientists, Data Engineers, Data Stewards, Machine Learning Engineers, Data Analysts, etc. working closely with deployment leads and field experts. Under the supervision of the Global Head of Data & Analytics, you will be in charge of building models and performing analysis needed for the digital use cases of our key digital priorities:

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 Analyst team to present outcomes of our models

Partner with Data Steward to identify necessary data to build our models

Partner with Data Engineer 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

Build and anticipate planning & staffing of the team

Explain to key executive the business value of our programs and drive the arbitration process

Lead discussions with all project members (Data Analyst, ML Engineer, Data Engineer…)

Actively contribute to Data Science community

The profile required is:

Data science experience in a large company leading projects

8+ years as a Data Scientist with extensive experience in building analytical solutions in large teams

Experience in an FMCG company is a strong plus

Soft skills

Pragmatic and capable of solving complex issues

Result-oriented and capable of challenging other stakeholders

Good listening and good communication

Ability to understand business needs

Push innovative solutions

Self-starter who thrives in a collaborative environment

Ability to help stakeholders understand & arbitrate pragmatic decisions that will drive data science roadmap

Hard skills

Experience in core analytics methods

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 sales person, 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

Knowledge on ML Engineering / Software Engineering

Familiarity with a broad base of analytics tools

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

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