Data Scientist - Sao Paulo, Brasil - Unilever

Unilever

Empresa verificada

Sao Paulo, Brasil

há 2 semanas

Postado por:

Ana Silva

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Descrição

Unilever is hiring a Data Scientist.**:

For Unilever to remain competitive in the future, the business needs to continue on the path to become data intelligent. The Data & Analytics team will persevere to make Unilever Data Intelligent, powering key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.

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This Data & Analytics function endeavours to create clear accountability for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. We partner with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We democratize information across the business, while supporting the culture shift required for data driven decision making.

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Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are

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Accelerate & simplify access to relevant data,
information and insights Build in-house, leading-edge data, information, insights & analytics capability
Lead the data & insights
culture and careers
to empower employees across Unilever Rapidly embed
analytics products, solutions and services to drive growth Advance Information Automation
at Scale

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The Data Scientist is an exciting role in the _Data Science Centre of Excellence (CoE) _
team within D&A. This team builds state of the art machine learning algorithms, maximising the impact of D&A's solutions in driving enterprise performance. Typical initiatives include building a state of art enterprise scale demand forecasting engine, optimizing trade promotion investments, accurately forecasting customer demand, using NLP to glean insight on consumer trends from search data, and making individual assortment recommendations for each of the millions of stores that sell Unilever products. The role will work closely with a D&A functional team such as Customer Development or Supply Chain along with business stakeholders, addressing both large transformation programs and near-term business problems.

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What can you expect from the role?

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Forecast engine utility (FEU) is the Unilever's inhouse AI/ML based demand & promotion forecasting solution. Data Scientist role will be responsible for regional development of this technology and own the forecast KPIs for the respective region (group of countries). Key Responsibility of this role will be to a regional data science authority and support the continuous improvement agenda of forecast KPIs and landing global Innovation to responsible region.

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Key Responsibility

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Develop and Govern data science process and model Change landscape for enterprise level one-forest solution together with business team such as digital supply chain, integrated customer development team and Build partners

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Work as technical design authority for forecast engine rollout

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Technical due diligence of market DS work. Advanced knowledge on building and implanting scalable forecasting solution

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Perform FEU forecast model diagnosis during development phase

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Track model features and periodically evaluate model performance KPIs

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Identify key gaps early on in development on data, feature or model which may lead to poor performance in parallel run

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Push global DS model guideline/governance during project phase

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Identify and proposed continuous improvement plan from FEU re-usable module (FEU LEGO)

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Training and supervising build team on global forecasting library (LEU-LEGO) and strengthening technical gaps in global library by customizing the same as per region specific data and model requirements.

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Write efficient and well-organized ML based software to ship products in an iterative, continual-release environment.

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Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions

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Working in an agile environment with globally distributed teams.

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To do this job successfully, you will need expert level skills in Timeseries models, Machine Learning, and strong hold of object-oriented programming with large data. Experience in enterprise level ML product development is required.

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Key accountabilities

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