País:

España

Ciudades:

Madrid

Área de especialización:

Análisis

Descripción del empleo

As an Data Scientist Manager, you will help clients understand and extract insight and value from their data using sophisticated analytical tools and techniques. Working both independently and as part of a team, you will be involved in all phases of analytics projects including: question formulation, design, research and development, implementation, and testing. This role will be able to explore and understand data and build advanced analytical models independently, then present and converse about these models to any level of audience

Day-to-day you will:

- Produce innovative solutions for Avanade's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, data mining, and machine-learning techniques. 
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, deep learning and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making 
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data 
- Generate and test hypotheses, analyze and interpret the results of product experiments 
- Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments. 
- Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations 
- Provide input and guidance on data visualization techniques and opportunities 
- Work with deal teams to provide subject matter expertise and solutioning support for client proposals and RFPs 
- Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information

Qualifications:


- Highly proficient with two or more predictive analytics tools including R, Revolution R, SAS, SPSS, MATLAB, Power BI, MicroStrategy, and Tableau [HIRING MANAGER SPECIFIC] 

--Strong knowledge of Python and the library ecosystem
- Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets 
- Highly proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization algorithms 
- Highly proficient in at least one high level programming languages such (i.e. S, C++, Python, Julia, and etc.) 
- Highly proficient in statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.

- Highly proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases
- Able to explain complex analytical methodologies and concepts in non-technical language 
- Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.) 
- Exceptional written and verbal communication and presentation skills


Preferred certifications: 
Microsoft Professional Program for Data Science

You likely possess a Master’s or PHD degree in Applied Mathematics, Statistics, Analytics, Operations Research, Economics/Econometrics, Engineering or another relevant quantitative field. An equivalent combination of education and experience will also suffice

You likely have about 5+ years of demonstrable experience mining and analyzing complex data sets, preferably in a consulting environment or a combination of experience and relevant education 

3+ years managing complex teams of business and technical resources

Nature of Work: Creates and implements work plans for assigned projects, programs, and/or clients against established operational objectives; supports translation of group strategy into objectives and work plans.
Scope of Work: Provides operational leadership for work efforts requiring significant coordination.
Complexity: Complex problems that consistently span work domains, requiring considerable judgment of contextual factors.
Discretion: Wide latitude in approach to work, including ability to reshape work plans, guided by professional best practices and domain expertise.
Organizational Impact: Work efforts have significant impact on near- and medium-term Avanade and/or client operations. If client-facing, should contribute to client-relationship and sales outcomes.
Supervision Received: Works independently, with occasional validation of work efforts against strategic and operational objectives. Significant latitude in judgment & approach.
Supervision Provided: Mentors and manages work efforts of more junior colleagues and team members as required by various workstreams; may formally supervise work of project teams. If managing team(s) of more junior employees full-time, then refer to the People & Business Leadership leveling criteria. Often serves as Career Advisor.
Knowledge Applied: Applies advanced knowledge of learned occupation / discipline and strong business operational acumen
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Acerca de Avanade

Avanade es una empresa líder a la hora de ofrecer a sus clientes soluciones empresariales, experiencias de diseño y servicios digitales innovadores gracias a su personal y a la potencia del ecosistema Microsoft. Nuestros profesionales combinan conocimientos tecnológicos, empresariales y del sector para crear e implementar soluciones que logren los resultados que buscan nuestros clientes y los de estos. Avanade cuenta con 29.000 empleados conectados digitalmente en 23 países, por ello nuestros clientes disponen de las mejores ideas gracias a una cultura colaborativa que honra la diversidad y es reflejo de las comunidades en las que trabajamos. Todo el mundo es bienvenido. Buscamos a personas con talento que puedan entregarse al trabajo, construir equipos inclusivos y fomentar la diversidad dentro y fuera de la empresa. Avanade, propiedad mayoritaria de Accenture, fue fundada en el año 2000 por Accenture LLP y Microsoft Corp. Más información en www.avanade.com/es-es.