Job Description

About this opportunity

Within the Solution Area Network Design and Optimization Software R&D (SA NDO SW R&D), we offer the opportunity to collaborate with highly qualified team all around the world and enable success stories for our customers. You will be working with groundbreaking technology (5G, ML/AI, Automation, Cloud computing, and Security) and will be involved in developing the software of tomorrow. Bring on a new career step for enthusiastic professionals who are ready to write the future with us.

The Data scientist will be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to deliver to the business useful insights, identify trends, and measure performance that addresses business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

What you will do

• Drive Data science leadership!
• Synthesize problems into data question(s)
• Decide approach for data science
• Design & perform data science experiments
• Develop Data Science Infrastructure &Tools
• Convert data into useful insights.
• Act in external relations

You will bring

• Bachelor\'s with

5 years of relevant experience OR Masters with
3 years of relevant experience OR Ph.D. in Comp Science/Statistics/Mathematics with
1 years of relevant experience * Experience in Analyzing Complex Problems and translate it into data science algorithms

• Experience in machine learning supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Ability to write robust code in Python, PySpark
• Kubernetes, Docker, Spark
• Casandra, Postgres and query building
• Design Principles, Application development, Flask, RESTful API.
• Familiarity with GCP, Real time data ingestion
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Scikit-learn)
• Propose data science solutions, EDA, Model Prototyping, Visualization of the data, Interpretation of the data, results based on the requirement analysis

Why join Ericsson?

At Ericsson, you\xc2\xb4ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what\xc2\xb4s possible. To build never seen before solutions to some of the world\'s toughest problems. You\xc2\xb4ll be challenged, but you won\'t be alone. You\xc2\xb4ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that\'s why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, .

Be where it begins

Welcome to an inclusive, global company where your opportunity to make an impact is endless. Share your most innovative ideas, bring your unique perspective in a speak up environment. With us, you will no longer be dreaming of what the future holds \xe2\x80\x93 you will be redefining it at a company where you\xe2\x80\x99re empowered to lead and perform at your very best.

Being a part of our team means having the flexibility to take your career in many different directions, but it also means leveraging the supportive structure of a big organization, with clear personal and professional development opportunities.

We believe that great accomplishments deserve great benefits and transparent rewards. We strive to offer competitive, unbiased, and fair rewards for all our people. We empower you to manage your own time and promote flexible working opportunities, along with family-friendly policies.

to find out more about our benefits.

Ericsson