CTO ABI Data Scientist

Contenu de l'offre CTO ABI Data Scientist chez NOKIA

Nokia and AVA Description Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect. Nokia is undertaking a large-scale service analytics and big data platform initiative called AVA and serving thousands to tens of thousands of internal and external users. This platform will enable Nokia and its customers to build the next generation of services for telecommunications and beyond, including transport, connected health and broader IOT. You will be joining a very dynamic and growing team of talented individuals, setting up state-of-the-art solutions for outstanding customer experience.
Data Scientist Job Description The Data Scientist must be willing to work in a very dynamic environment which includes interactions with multiple organizations on a regular basis. They must be able to communicate effectively and have detailed knowledge of data preparation and cleaning, algorithm selection & design, results analysis, industrialization. The data scientist is solution-oriented, curious, open-minded, autonomous and willing to work in team. Rigorous, they are able to take initiative to propose and find innovative solutions. The data scientist provides expertise on mathematical and statistical concepts for the broader team and inspire the adoption of advanced analytics and data science across the organization.
Job entails in depth, operational research on analytics problematics (natural language interactions, similarity recognition, etc…), analytics solution design and maintenance, business acumen to suggest analytics projects based on the company’s data.
He/she will be working with Nokia AVA cognitive services platform. Nokia AVA is a cloud-based platform that combines big data storage, intelligent analytics and extreme automation, allowing Telecom operators to move away from traditional reactive network operations to a cognitive approach that predicts faults and solves them rapidly. As well as delivering today's expert services, AVA will facilitate a more efficient and faster delivery of Nokia services across the entire network lifecycle. This means Care services, Network implementation, Network Planning and Optimization and Managed Services are supported, with more to come as Nokia continues to move towards cloud-based delivery of services, artificial intelligence and contextualized delivery. AVA ensures low latency, high throughput and extreme resilience of the network. These elements will be key to support operators explore new business areas in the connected world.
Data Scientist Responsibilities and Duties
Lead the functional and technical analysis of customer needs regarding analytics Contribute to the design if the customer solution Describe, explain and document the results of the data analysis Perform audit of the data quality, document the data extraction and transformation needs Make the data cleaning and wrapping, collaborate to integrate targeted data in the data lake Propose, test and select the best machine learning algorithms using different data scientists’ tools and statistical methodologies to discover, describe and predict Collaborate to identify the most comprehensive way to share results Document and communicate the outcomes of their researches and analysis phases Provide workflows, source code and document notebooks for the industrialization Participate to the industrialization specification and implementation Work with stakeholders to understand business requirements and processes for projects so implementation can be done without delays. For Senior positions: drive & mentor junior data scientists to define the methodology and assess the different technical solutions
Data Scientist Qualifications and Skills Master’s Degree in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering Certifying MOOCS (Coursera, Stanford, etc...) can be a complement Solid knowledge in statistics: descriptive analysis (Student’s test, Fisher test, ANOVA, Chi2, etc…), supervised and unsupervised analysis (regressions, CAH, PCAn, K-Means, decision trees, etc...) Machine Learning: linear and logistic regressions, discriminant analysis, bagging, boosting, stacking, random forests, gradient boosting, neural networks (CNN, RNN, LSTM), text mining and topics extraction, etc... Deep Knowledge of Python (sklearn, panda, numpy,..), Spark/Scala (Mlib) or R data science libraries Big Data: Cassandra is a plus Ability to investigate issues and come up with resolutions for large data sets a must Comfortable with working with multiple stakeholders in a multi-cultural environment of a global matrix organization with sensitivity and partnering Ability to work independently and be a self-starter Excellent organizational and communication skills High energy, initiative, enthusiasm and persistence. English mandatory (written and verbal) Nokia is an equal opportunity employer that is committed to diversity and inclusion. At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.