Data Scientist

Family Description

Customer Services (CS) covers customer service in different areas such as technical support, account support, operations, maintenance, network design / deployment / integration / transformation, and education. Generates revenue and the increase of customer satisfaction through planning, designing, deploying, integrating, optimising, operating, and maintaining phases.

Subfamily Description

NW Design & Optimisation (NWD) comprises the planning and / or managing the planning of communications networks for customers. Covers consultation of customers on communication network performance. Contains optimisation and / or managing of the optimisation of customer networks. Covers the execution of end-to-end design-related activities (address surveys, site surveys, design and as-built) for deployment projects.

 

Independently works within broad guidelines and uses best practices and knowledge of internal or external business issues.Works with substantial discretion and uses specialist knowledge, analytical skills, judgment and broad conceptual and practical experience to solve complex problems and to contribute to process improvements.

• Develop and plan required analytic projects in response to business needs.
• In conjunction with data owners and department managers, contribute to the development of data models and protocols for mining production databases.
• Manage and/or provide guidance to junior members of the team.
• Functional Experience envelopes the key areas such as Applied AI in Data Analytics, Machine Learning.
• Analytic Problem-Solving: Approaching high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
• Effective Communication: Detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand.
• Intellectual Curiosity: Exploring new territories and finding creative and unusual ways to solve problems.
• Industry Knowledge: Understanding the way Telecom functions and how data are collected, analysed and utilized.
• Efficient in power point, excel & presentation skills
• Evaluate the models that are running in the POC’s .
• Collaborate and work closely with cross functional teams to identify gaps and structure problems.
• Create Meaningful presentations and analyses that will give out focused insights.
• Propose technical solutions for the Use cases : Output – Mathematical Models, System Accuracy and flow diagram of the machine learning process.
• Evaluate the data in the system to come with probable problem statements and convert them in to use-cases.
• Bring Other industry Models and see the applicability In telecom services domain
   

• Impact
  
  Impact is short-term and departmental/project in scope. Accountable for quality, accuracy and efficiency. Actions and errors can have functional area impact. 
  
  Scope & Contribution
  
  Individual Contributor: Variety of complex tasks within area of responsibility, Demonstrates initiative & contributes to problem solving. Acts with independence and discretion in routine matters. Makes decisions that affect own work. Managerial/Supervisory: May act as Team Leader or Project Leader with some direct supervisory responsibilities in addition to own work assignments. Variety of complex tasks within area of responsibility. Acts with independence and discretion in routine matters. Makes decisions that affect own work.
  
  Innovation
  
  Performs routine activites to meet departmental/project objectives. Requires moderate supervision. Applies commonly recognised concepts within their field of expertise. Shares knowledge with less experienced peers or have high collegial interaction. Raises innovative ideas. Demonstrates adaptability to changing business environments. Is willing to take on new roles or jobs appropriate to skill set in different environments and/or locations. 
  
  Communication
  
  Works to influence others to accept job functions' view/practices and agree/accept new concepts, practices, and approaches. May conduct briefings with senior leaders within the job function. May at times be required to negotiate regarding operational issues. Has cross-cultural knowledge and global mindset
  
  Knowledge & Experience
  
  Typically 3-4 yrs experience in Data Science

 

• Must have deep understanding of Python,r languages 
• Must have experience on Python using pyspark/ scala environment 
• Must have experience with big data and machine learning libraries Knowledge Management
• Must thrive in high-pressure environments
• Must be ready to work in global time zone/calendar days
• Collaboration Skills

 

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s 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 work

What we offer
 
Nokia 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 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

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.