Descripción Del... Accenture Digital offers a comprehensive portfolio... business and technology services across......
Accenture Digital offers a comprehensive portfolio of business and technology services across digital marketing, mobility and analytics to help our clients unleash the power of digital to drive growth and create new sources of value. No other company offers the same blend of insight, assets and industry expertise to help companies become digital businesses.
Applied Intelligence, part of Accenture Digital, help our clients grow their business in entirely new ways. Artificial Intelligence and Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships.
The Barcelona Innovation Center has been at the forefront in helping clients from around the globe and across industries under the umbrella of intelligent operations for the last 15 years. We develop cutting-edge assets and solutions to reduce costs and improve supply chain processes, such as optimization of stock levels, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.
Our team is composed of over 100 data scientists with specialized background in Supply Chain & Operations, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics. All that knowledge, combined with Accenture’s business experience, fosters an environment that allows us to quickly react to changing business conditions and provide tailored solution for our client’s needs.
1. Data Scientist
Introduction
You will have the opportunity of being part of the Data Analyst group, working for our top clients in the evolution of their core systems and the implementation of new digital technologies. As part of the group, you will be trained on new Data, and you can take part of certification processes for those technologies.
Your Goals
· Your objective would be to re-imagine the future of the industry, and the next generation of predictive process control
· Your role will require the extraction, wrangling and enrichment of data from one or multiple sources, online or offline
· Develop innovative thought leadership and contribute to the creation of points of view on re-usable models in Supply Chain.
Key Responsibilities
· Responsible for the development of predictive models and the generation of data-driven insights to solve industrial problems or challenges.
· You’ll be responsible for development, training and validation of mentioned models, and the visualization of the data and model results through dynamic dashboards.
· Manage and manipulate data sets, including: variables definition, performing calculations and summarizations, and creating solutions to address client business needs.
· Provide specific training and guidance to development factory to ensure data integration activities around base and feature-enriched tables align with the analytical models.
· Develop and maintain analytical models.
· Demonstrate a high degree of ownership, accountability for your output and commitment to the task.
· Mentor and train junior developers and modelers.
· Ability to work collaboratively and effectively with offshore development teams and provide guidance to ensure quality deliverables.
Skills you will need:
· Passion for applying Statistics and Data Science to solve business problems.
· Critical thinking and attention to detail. Structured Problem Solving, ability to translate a business problem into a quantitative and analytical problem and propose suitable solutions; be able to bring common sense to solve business problems.
· Statistical analysis or programming in tools like R, PYTHON, SCADA, Spark, MATLAB, Tensor Flow, Torch, Caffe, CNTK, SAS, C/C++, HTML/Javascript, SQL (for different DBMS, SQL or NoSQL)
· Nice to have knowledge on MAAGs: AWS, MS Azure, Google Cloud, Palantir, SAS Viya, SAP Cloud.
· Theoretical or practical knowledge on Big Data Solutions
· Theoretical or practical knowledge on platforms of distributed calculations
· Knowledge in visualization tools like Shiny, Spotfire, Qlikview, Tableau, PowerBI, Qliksense.
· Knowledge and demonstrable experience on full life cycle development methodologies. Certifications will be a plus. SAFe, DevOps, JIRA, Trello, Asana…
· Knowledge on Supply Chain or Manufacturing will be a plus
Minimum Requisites
· 3 years of previous experience as Data Scientist
· Availability to travel
· Proficiency level of English
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