Data Science Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you will work on:

• Manage Databases – Define and implement a database strategy and model to bring in various sources of data together (e.g. ERPs, Salesforce, SAP, pCube, etc). Acquire, clean and structure data from multiple sources and maintain databases/data systems. Identify, analyse, and interpret trends or patterns in complex data sets
• Automate reporting – You would be required to work with the analysts to define and implement real time dashboards and implement a standard reporting app
• Prediction Models – Define use cases which would be solved with AI. Develop, prototype, test and implement the models. 

Things you will learn:

• Shape the Digital strategy for Nokia’s Enterprise business – As an early Data Science expert in our team, you will get a chance to define how we build our strategy and systems to make full use of automation and AI
• Learn about tools and systems like Salesforce, ERPs and Power BI through our skilled teams and internal knowledge centres
• Understanding Telecommunications industry - You will learn the core of the telecom business through daily interaction with the Sales support team.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s program focussing on Computer Science, Mathematics, Economics, Information Management, Statistics or a related field
• You know how to work a problem from beginning to end with data science tools and techniques, including data manipulation (SQL, Hadoop, etc.) and programming (R, Python, XML, JavaScript, or ETL) frameworks
• Experience with databases is essential. Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc).
• Technical knowledge in descriptive and predictive modelling along with Machine learning skills
• Knowledge of programming languages like Python or R

Specific focuses for the cadidate:

• Power BI development and administration.
• Relational databases knowledge (data models, MS-SQL, design techniques)
• Knowledge and understanding of ETL, Data Warehouse and Big Data processes
• Excellent attention to details
• Creative and experimental mind-set to data technology
• Mindset towards automation

Technologies used

• Power BI, Power Apps, Python, Azure SQL Database, Azure Data Factory or similar Cloud Platforms (e.g AWS, GCP)
• Interest or Undergraduate education in Machine learning technologies (classification with SVM, Decision Trees, Logistic Regression)
• Excel VBA

What does Nokia offer you

• Competitive salary based on your experience
• Performance, Christmas and Easter bonuses
• Interaction with international teams of software developers, architects, project managers, testers, integrators etc.
• Visibility on latest configuration control technologies, 5G innovating mobile networks, Cloud, shared testing resources
• E-learning platforms such as NokiaEDU, Harvard ManageMentor, LinkedIn Learning etc. at your disposal for technical training and personal development
• Access to Nokia Garage innovation space where you can express your technical creativity and implement new projects with support from local community
• Various certifications
• Events and conferences on technical matters but also on well-being at work and other general-purpose subjects
• Flexible time and teleworking
• 24+ paid days-off
• Sports, Wellness and Culture reimbursement
• Bookster
• PublicTransport/Private Parking allowance or bike/electrical scooter reimbursement 
• Meal tickets + extra food allowance
• Private health and life insurance
• Kindergarden/after-school reimbursement 
• Everyday Excellence – Employee Recognition Program (Awards can be redeemed via our online store) 
• Share in Success - Nokia’s voluntary employee share purchase plan
• One of the highest employee referral bonuses on the market so you can bring your friends too :)