Data Scientist

Job Description

Job DescriptionFamily DescriptionAnalytics (AN) covers the promoting of data science to demystify big data and unlock new business potentials from complex data sources. This covers a huge scope: from classical data gathering and business intelligence, through designing and implementing machine learning, all the way to architecting systems that automate data gathering, analytics, and integrating their outcome into other applications. Determines the foundation for data driven and fact based decision making. Provides the tools and intelligence to formulate strategies and future business development plans.Subfamily DescriptionData Science & Analytics (DAS) consists of the interpretation and analysis of data using statistical techniques, visualisation, and predictive analytics. Covers the development and implementation of databases, data collection systems, data analysis, and other strategies that optimise statistical efficiency and quality. Comprises the identification, analysis. and interpretation of trends or patterns. Works closely with business analyst and product manager to advise and jointly brainstorm on how analytics can assist in larger problem solving. Covers the blending of historical data from available customer network data sources, public information, field reports, or purchased sources and the performing of analysis to support business and product decisions.Responsibilities Perform the role of Technical Leader and Mentor for Team and ensure that the solutions & development methodology are up to date with latest technological enhancements and evolutions. Use Python to develop applications related to machine learning algorithms and integrate such applications with the ones hosted in but not limited to MS 365 environment such as SharePoint online/Power Platforms. Utilize and work on Microsoft Azure services like Azure VM, Azure App Service, Azure AD Authentication. Perform requirements gathering, finalization, implementation & support for business need. Understand, support & enhance applications ensuring they keep pace with the latest technological advancements.Required SkillsEducation: B.E./B. Tech. in Computer Science/Telecom/Electronics 5-9 years of experience in Software Development Minimum 5 years hands-on development experience in AI/ML Predictive Modelling, NLP/Natural Language Processing & Machine Learning like Advanced Classification Techniques, Deep Learning, Clustering. Superior analytical, problem-solving and communication skills both written and spoken. Creativity, self-confidence, flexibility and are a Team PlayerAbout UsCome create the technology that helps the world act togetherNokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on peoples lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to workWhat we offerNokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.Nokia is committed to inclusion and is an equal opportunity employerNokia has received the following recognitions for its commitment to inclusion & equality: One of the Worlds Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global BenchmarkAt Nokia, we act inclusively and respect the uniqueness of people. Nokias 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.We are committed to a culture of inclusion built upon our core value of respect.Join us and be part of a company where you will feel included and empowered to succeed,

Keyskills :
PythonMachine LearningDeep LearningClusteringAnalytical SkillsCommunication SkillsAIML Predictive ModellingNLPNatural Language ProcessingAdvanced Classification Techniques