Data Analytics Tribe - Data Scientist

Job description

Unilever (UL) is driving digital transformation to deliver growth agenda. Our mission is to transform our organization to a digital first culture, delivered by a world-class data and analytics (D&A) tribe, leaping ahead of our competition in everything we do.

UL Turkey D&A tribe leads the path for UL to become data-intelligent. The team does this by delivering analytics products at scale and by enabling UL business units, business operations and leadership teams to turn data into insights, actions and decisions at a faster pace than ever before to achieve competitive edge for UL.

UL Turkey D&A tribe, which consists of data experts (data engineering and data science) and insight into action experts (functional business insight generation expertise, e.g. sales, marketing, supply chain, finance), works with other UL markets’ D&A teams and with the global D&A team to ensure that insights discovered locally are joined up and enhanced with regional/globally-discovered or researched insights to enable joined-up recommendations and decisions aimed at driving incremental growth by meeting the needs of our consumers, customers and employees.  

UL Turkey D&A tribe powers the exponential growth of UL in an in increasingly VUCA (volatile, uncertain, complex and ambiguous) context and is organised to be highly adaptive and flexible to demand, fast-changing priorities and emergent opportunities. To do this, UL Turkey D&A tribe highly prioritizes agile mindset and agile ways of working (beyond agile tools and techniques) – i.e. able to embrace uncertainty, ambiguity, and to create structure out of chaos.

There are five major themes in the Data and Analytics global strategy and UL Turkey D&A tribe:

·  Deliver Intelligent systems at scale.  Powering Business Units, Customer Development and Business Operations through data and analytics. Building out the right analytics applications to enable data driven decision making for business teams
·  Winning disproportionately .  Creating analytics products that make a significant impact on our business and drive competitive advantage in the market, while collaborating appropriately with other markets and Global teams (i.e. winning both locally and globally for UL).
·  Drive UL to assisted and predictive decision-making.  The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams
·  Make data a true asset.  Better data governance, data expertise and data driven decision making within every part of Unilever
·  World-class Information.  One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting

UL Turkey D&A tribe is responsible for managing the market’s demand for data, analytics and insights and enabling data driven decision making, actions and impact.  It leads data analytics, data modelling, research development and implementation of appropriate data systems and analytic solutions.  It is also responsible for streamlining in-scope processes related to data analytics and insights generation in the market, through automating, consolidating and eliminating them where appropriate to deliver a seamless, fast insights-generation experience using tooling provided by the Global D&A team.

MAIN JOB PURPOSE:

You are a data scientist with a passion for data, data science, AI and ML, demonstrating understanding of advanced data science models and their application into the business. This role will focus on understanding and supporting the growth of the Business, building advanced and repeatable data science models that enable the business to make better decisions, drive 4G, and gain competitive advantage.

Main accountabilities:

Understand the business problems and how to deliver relevant insights that lead to actions Gather data and build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way Support product teams scaling models into low-touch solutions to provide optimal ROI from data science Work on in-market business problems coming from Sales, Finance and Marketing etc. Identify common themes to build repeatable models and partner with Sales, Marketing, Finance leadership to support growth though data and analytics Position analytics as a tradable “currency” with customers to gain competitive advantage Drive new value from insights from connecting external and internal data sources Innovate new data and analytic methodologies driven by local needs which feed into D&A’s global product pipeline

EXPERIENCE, QUALIFICATIONS AND QUALITIES:

·  Bachelors or Master Degree in a relevant technical field (ex: Computer Science, Statistics, Engineering or Mathematics)
·  2-4+ years’ work experience in a data science role with significant focus on large scale and/or unstructured data
·  Experience managing projects from start to finish
·  Passion for empirical research and for answering hard questions with data
·  Ability to apply an agile analytic approach that allows for results at varying levels of precision
·  Strong communication skills, particularly the ability to communicate complex quantitative insights in a precise, and actionable manner to business leaders
·  Strong track record in solving analytical problems using quantitative and machine learning approaches
·  Deep experience in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
·  Deep experience in working with and coding in R/R Shiny/Python
·  Deep experience in in common machine learning techniques such as Random Forests, Boosting, Regularized Regression, Naïve Bayes Classifiers
·  Working knowledge of testing and measurement (A/B, multivariate etc.)
·  Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector machines, Reinforcement learning and Bayesian networks
·  Working knowledge of data visualization concepts in reports (Power BI) and specialist tools
·  Knowledge of extracting and combining complex, high-volume, high-dimensionality data from multiple sources (enterprise, proprietary, IoT, public domain), including unstructured data (comment threads, audio, video)
·  Working knowledge of working in Microsoft Azure and scaling analytic products over GPUs in the cloud
·  Experience in E-commerce, FMCG, Retail sectors is a plus.
·  Self-directed
·  Possesses a natural curiosity, openness to possibilities and imagination to create novel business solutions 
·  Ability to work collaboratively with peers and demonstrate vertical and lateral influence.

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.