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Product Manager Analytics

Posting Country:  Italy
Date Posted:  13-Nov-2020
Full Time / Part Time:  Full Time
Contract Type:  Permanent

Our purpose at Vodafone is to connect for a better future. As a Global Communications Technology company, we put the customer at the heart of everything we do. We are forever challenging, pushing boundaries and discovering innovative ways to connect our customers with their digital societies.

We connect people, businesses, and communities across the globe to create the future. We earn customer loyalty, experiment, learn fast and get it done, together.

Join our journey as we connect for a better future. Ready?

Description

We are looking for a passionate, talented, and inventive “Senior Data Scientist” to join the IoT & Analytics Platform & Solutions as Analytics Product Manager. You will work on the Vodafone Analytics product and you will be responsible to provide actionable business insights that drive the shaping of new products and vertical solutions and their evolution, defining the functional requirements, business strategy, and roadmap for the products.  The right candidate will have the ability to perform in a fast, high-growth, high-uncertainty and multi-parties environments and strongly believes that team playing is one of the key approach to win the challenge.

As Analytics Product Manager your main responsibilities will involve:
  • Actively promote proof-of-concept, products and solutions interacting with data scientist, solution architects, sales force, customers and prospects both in dedicated meetings and during communication events.
  • Coordinate internal and external stakeholders, including relevant Partners. The scope includes project management responsibilities with focus on prioritization and time management.
  • Delving into data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships and useful information
  • Translating complex datasets into key strategy insight and powerful capabilities to the business
  • Using machine learning /AI algorithms to perform modeling on spatio-temporal data  to solve business problems
  • Identifying new data sources and evaluate emerging technologies for data discovery usage
  • Mentoring  young data scientists in the team
  • Strong communication and decision-making skills with an ability to balance conflicting interests
  • Presenting the results  to  technical and non- technical audiences
  • Identifying new analytics trends and opportunities to drive the innovation agenda across Vodafone’s global team
  • Participating in a community of Vodafone data scientists working in numerous countries
Your skills and qualifications must include:

•    Master’s Degree in quantitative fields like Mathematics, Statistics, Computer Science, and Engineering
•    5+ years experience in developing, implementing and maintaining Machine Learning /AI models and Optimization Algorithms
•    Hands-on experience with the Big Data Analytics landscape and related tools, especially Hadoop, Hive/Impala, Spark (pyspark). Previous experience in performing analytics on cloud platforms is a plus
•    Expert level experience with the mathematical foundations of modern machine learning/AI algorithms and statistics

  • Knowledge of process design and re-design methodologies, approaches and tools
  • Past project management experiences with autonomy in delivering the project
  •  Excellent communication skills, with the ability to present technical results to non-technical audiences
  •  Ability to guide junior data scientists in their skill sets, motivate them, and build the company’s foundation for future growth
  •  Curiosity, creativity, and an empirical mindset
  •   Being detail-oriented

Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.