Data Scientist in the area of AI/ML

Data Scientist in the area of AI/ML

Arbetsbeskrivning

Our Exciting Opportunity
We are now looking for a Senior Data Scientist/ Data Engineer to 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 sophisticated statistical analytics, and build insights into data to provide to the business meaningful 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. In 5G networks, AI and ML are essential to deliver better performance than today and to employ the potentials of edge computing. We are making our networks more resilient and adaptive through large and complex data. We are working with our internal efficiency for example through automated filter tuning in factories and network optimization to ensure world-leading performance in customer’s networks. Efficient data infrastructure is key to making it possible, which means there is a need for state of the art data architectures and secure solutions over multiple data centers. Reinforcement learning, deep learning, and more conventional learning techniques are in focus as well as re-designing of our company’s dataOps and assembling data sets that meet business requirements.

You will
Synthesize problems into data question(s)
Decide approach for data science
Design and perform data science experiments
Develop Data Science Infrastructure and Tools
Convert data into meaningful insights

To be successful in the role you must have
A Master’s or higher degree in Computer Science, Statistics, Mathematics, Physics or related fields.
1-3 years of experience in telecommunication, data science, and/or data engineering.
Excellent communication skills in written and spoken English.
Deep/broad knowledge of machine learning, statistics, optimization, or related field.
AI/ML applications development skills through the state of the art frameworks such as Keras, TensorFlow, Scikit-Learn.
Experience building ‘big data’ data pipelines, architectures, and data sets.
A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding.
Analyzing, Presenting & communicating information.
Excellent problem-solving skills.
Advanced knowledge of at least one programming language for data analysis (e.g., Python, Julia, R).
The ability to communicate advanced technical concepts to a non-analytical audience.
You constantly want to learn new skills and are proactive with your own development.
Ability to understand business operations and translate them into well-defined analytical work.

Minimum qualification and experience requirements
Education: MS, or Ph.D. in Computer Science, Computer Engineering, Mathematics, Physics, Economics, or related field;
Cloud-native computing can be a compliment
Proven experience required
Evidence of academic training in programming e.g., Python, Julia, R

What´s in it for you?
Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.
We welcome you to apply for this opportunity!
What happens once you apply?
To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process
If you have any questions about this role, please contact recruiter Suman Thakur, Suman.thakur@ericsson.com
Location for this role: Stockholm, Sweden
The selection process will start in parallel to job posting period, please do not wait with submitting your application.
Kindly note that we cannot process applications sent via email.

Sammanfattning

  • Arbetsplats: Ericsson AB Stockholm
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 2 februari 2022
  • Ansök senast: 12 februari 2022

Besöksadress

Kistagången 6
Kista

Postadress

KI/EAB/DKG/DA
Stockholm, 17281

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