What you will learn and contribute to
Looking for a senior data scientist with experience in telecom domain to work across netwokr, customer and business domains.
As part of our team, you will :
Support consulting deliveries by carrying out data sceince and data analytics driven tasks on Nokia and operator data sources.
Tasks include all aspects of Data Science work from data cleanup to developing predictive models, as well as deploying the models to produce valuable insights and articulating that to the customer
Build and develop trust-based relationships with operator customer’s middle and senior management in relation to consulting engagement
Understand customer’s commercial and operational challenges and apply these understanding when developing models and insights.
Provide opportunity leads to sales in order to maximize business value of Nokia solutions to the customer
Your skills and experience
Key Sklils :
Minimum of engineering or computer science from a reputable institution, MBA a plus
15+ years in the Telecom or IT industry or 10+ years in analytics consulting industry
Strong telecom background which includes sound understanding of network technologies, KPIs and data architecture
Strong data analytics and data science experience, developing models using various data mining and machine learning algorithms.
Application of such data science work in telecom a plus.
Strong data manipulation skills using SQL
Good understanding of various big data concepts. Working knowledge of Hadoop based environments a plus.
Good understanding of Cloud Technologies, Public Cloud, Cloud Stack and Anaytics capabilities of Public Cloud platforms
Strong experience with data mining / machine learning platforms and tools like R, Python, RapidMinder, etc.
Strong experience with data visualization tools like Excel, Tableau, Business Objects, etc.
Strong verbal, written and visual articulation skills using PowerPoint to effectively communicate complex ideas.
Ability to work with both technical and management layers in customers
Good understanding of customer value modeling using CLTV, Churn and Segmentation models
Familiarity with end customer surveys, such as satisfaction surveys and Net Promoter Score measurement
Strong academic record with a minimum of Masters in computer science or mathematics from a reputable institution, additional business studies is a plus
You have direct experience of the following areas will be benefiicals :
Financial understanding of Telco operations and business case development
Technology understanding of Telco functions, including marketing and customer care
Ability to work with both technical and management layers with customers
Personal attributes :
Ability to address and engage with engineers as well as senior executives within operator organization.
Committed to deliver the solutions and business benefits sold to the operator
Willingness to travel to customer premises
Proficient in English (speaking, writing and reporting) as well as at least one of the major languages in the region
Good ability to organize own work and self-motivated
High tolerance for stress and uncertainty
Able to work and manage across multi-national organization
What we offer
Nokia offers flexible and hybrid working schemes, 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 employer
Nokia has received the following recognitions for its commitment to inclusion & equality :
One of the World’s Most Ethical Companies by Ethisphere
Gender-Equality Index by Bloomberg
Workplace Pride Global Benchmark
LGBT+ equality & best place to work by HRC Foundation
At Nokia, we act inclusively and respect the uniqueness of people.
Nokia’s 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.