Who we are?
The Digital Business Unit team is team of professionals passionate about consumer and customer centricity, building digital capabilities and innovation. Our main goal is to #unleash the power of JTI through Digital.
We work closely with markets and functions to accelerate growth through winning digital consumer & customer experience and increase efficiency & effectiveness via focused digital execution.

What do we offer?
You will work as a part of the Digital Data team in the newly created Digital Business Unit located in Geneva and Madrid and you will have the great opportunity to #unleash the digital potential for JTI customers and consumer through data.
You will work on Digital Data initiatives with a strong focus on leverage data to accelerate customer and consumers experience. In this role you will be responsible to unleash value of data leveraging advanced data science models to improve both lead generation, targeting and the e-commerce funnel.
You would need a combination of strong analytical and problem solving skills in the consumer & customer domain. You would need to understand statistical, econometric and machine learning methods to classify, cluster, segment and predict complex questions. With a deep understanding of the business levers, you will collaborate with other business stakeholders, data analyst and data strategists to specify and drive data opportunities, provide actionable insights and recommendations.
In addition to advanced analytic skills, you also need to be proficient at integrating and preparing large, varied datasets, architecting specialized models / computing environments, and communicating results.

What will you actually do and what will be your key responsibilities?
• Full responsibility to exploit Data Science opportunities in Digital Data Domain
– Working with other business functions, data analysts and data strategist to identify and implement advanced analytical opportunities with a special focus on customer and consumer experience
– Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes
• Works with external providers of data and data science analytics to: enrich, segment and profile data, recommend products and personalize content to optimize the conversion funnel, classify data to highlight business opportunities, predict main consumer & consumers KPIs along the B2B and B2C sales funnel
• End-to-end ownership and responsibility for Data Preparation and Feature Engineering:
– Defines the validity of the information, how long the information is meaningful, and what other information it is related to
– Defines the data quality standards in the context of the specific initiatives.
– Identifies and qualifies where information can be stored or what information, external to the organization, may be used in support of the data initiative
– Identifies in collaboration with data analysts the main features and business drivers needed to optimize the model
• End-to-end ownership and responsibility for Data Mining and Analysis:
– in collaboration with data analysts and data strategists, identifies and collects data from all kinds of different sources such as web APIs, internal database, external customer databases, e-commerce trackers, DMPs and so on. This will involve extending JTI’s data with second and third party sources of information when needed
– Uses algorithms to efficiently go through large datasets and apply treatments, filters and conditions to internal and external data.
– Processes, cleanses, and verifies the integrity of data used for analysis
– Present and depict the rationale of the findings in easy to understand terms for non scientific audience
– Provides on-going tracking and monitoring of performance of decision systems and statistical models.
• Training and Support
– Ensure markets are educated in new approaches, such as testing hypotheses and statistical validation of results. Helps the organization understand the principles and the math behind the process to drive organizational buy-in.
– Provides business metrics for the overall data initiative to show improvements
• Collaboration across digital business unit (digital customer, digital consumer, digital drumbeat) and cross functional streams to drive the digital strategy across JTI.
• Closely collaborate with Data Strategists and Data Analysts to make sure the data science is fully leveraged in each solution.
• Third party suppliers management
• Budget management
What are we looking for?

You as a professional:
• You have Master’s Degree in Data Science, Economics, Statistics, Applied Math, Physics, Operations Research, Engineering or a related field
• You have several years of business professional experience (with relevant industry experience) in data science modelling across multinational FMCG organizations with a focus on e-commerce personalization/recommendation engines and consumer segmentation.
• You are passionate about challenging prediction problems, finding insights in data, and applying the right data science model to drive clear and practical business impact.
• You are creative thinker and propose innovative ways to look at problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of information available and data science techniques for clustering, predicting and classifying.
• You must be able to present back findings to business leaders by exposing assumptions and validation results in a way that can be easily understood by a non-scientific audience
• You have strong interpersonal skills and ability to identify and collaborate with key stakeholders across functions
• You have strong organizational, analytical, and decision-making skills
• You are good in anticipating and solving problems
• You enjoy project management and you have experience of managing cross functional projects with remote/indirect teams and experience with reporting/communication at senior level
• You have digital mindset, you are consumer centric, entrepreneurial and curious

You as a person:
• Fluent English
• Strong organisational and project management skills, self-starter
• Have strong interpersonal management skills and ability to work in indirect/remote teams, if needed
• Analytical skills, ability to synthetize and drive decisions
• Expert in presentation, verbal and written communication skills with the ability to articulate complex ideas in easy to understand business terms to all levels of management including senior leaders
• Experience working with data science languages such as R or Python, and mastering SQL as well.
• Profiscient in the usage of major Data Science plaftorms (i.e. dataiku)
• Profiscient of major “bid data” storage (i.e. data lake), analytical engines (i.e.Spark) and API management for model consumption
• Profiscient in reporting tools (Power BI)
• Team player

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