TQ-103 Data Scientist - Madrid - Cognizant

TQ-103 Data Scientist - Madrid - Cognizant

15 nov
|
Cognizant
|
Madrid

15 nov

Cognizant

Madrid

We are expanding our Artificial Intelligence & Analytics capabilities in Madrid and are building a brand new team to work in a large digital transformation program. Initially in this role you would be working for one of our Spanish clients in the Oil & Gas space, although the scope in the future will give the chance to work with clients in several industries.We are looking for a Senior Data Scientist who will be dedicated and responsible for overseeing and delivering key Analytics programs for clients in different industries and using different methodologies and techniques.o Be able to translate a business problem into an analytics model, identify data required for the same,

and to effectively communicate the outcome of the models in simple language to client stakeholders.o Executes a data collection plan from both structured and unstructured sources that helps in data exploration, hypothesis testing and statistical modelling.o Design, develop, and implement proof-of-concepts and pre-product prototypes that can be used to generate business decisions.o Able to play an advisory role and guide and manage team members. Ensure team carries out all functions as per agreed methods.o Be able to challenge/complement the current methods. Able to critically evaluate and propose the correct model and suggest improvements.o Maintain positive working relationships and effective and on-going communications with team and customer.o Lead by example and roll up your sleeves to work with the data and the machine learning.o Ability to be autonomous and prioritize multiple tasks.Experience & Key requirementso The Ideal data scientist candidate should be fluent in Spanish/ English (oral and written) communicationo Have at least 3+ years of background in Data Science fieldo Located in Madrid and have flexibility to travelo Must be authorized and eligible to work freely in the EUo Should have worked before on several Data Science projects and should be Hands on with managerial skills.o Be able to independently understand what type of models can be used to solve a certain client problem and Develop the model. In addition, properly validate the prediction results to choose the best model and present the output such that business users can use it.o The role requires excellent communication and social skills, to build up strong client relationships; able to understand the client, their business objectives and challenge the current methods.o Ideally, having experience in working with the multi-cultural teams in multiple geographies with good collaboration skills.Skillso Proven, deep experience in machine learning, natural language processing, predictive analytics, statistical modelling and forecasting.o Experience with complex advanced analytics models and excellence in generating insights from various data sources using different software languages and data mining tools.o Working background in R OR Python.o High/Intermediate SQL knowledge.o Optional skills that are nice to have but not mandatory include: Knowledge of KNIME, RapidMiner, SPSS Modeler, SAS Knowledge of Bayesian (Belief) Networks (probabilistic graphical models), Neural Networks, Deep Learning, and Cognitive computing. Knowledge of Technology like ML Azure / AWS / SQL / Teradata / Tableau/other visualization platforms Knowledge of Agile methodologiesWe offer:

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