Lead Decision Scientist

Rekryterare
Ericsson
Plats
Stockholm, SE
Annonserat
den 10 september 2021
Stängs
den 23 oktober 2021
Ref:
553413-en_US
Anställningsform
Tillsvidare
Sysselsättning
Heltid
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we've made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our Exciting Opportunity

A key member of the Product Area - Intelligent Analytics within Group IT, responsible to drive the development and adoption of Intelligent, Advanced Analytics and Machine Learning solutions across Ericsson

Responsible for leading the development of scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.

Responsible to provide thought leadership, perform Advanced Statistical Analytics, and build Machine Learning powered solutions, identify trends, and measure performance that addresses business problems. In addition, collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

You will

  • Perform Decision science leadership
  • Synthesize problems into data question(s)
  • Manage & deliver decision science portfolio for target customers
  • Decide approach to business problems Design & perform data experiments
  • Develop Intelligent/Advanced Analytics Infrastructure &Tools
  • Convert data into meaningful insights.
  • Act in external relations
  • Have a proven understanding of Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis, and data exploration.
  • A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding
  • Any applied research contributions to the community in terms of technical papers and patents are encouraged
  • Demonstrated skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
  • Strong Programming skills in various languages (Python, Scala, R)
  • Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow, and Spark
  • Ability to clearly communicate complex results to technical and non-technical audiences
  • Versatility and willingness to learn new technologies on the job


This is a technical leadership role. Evangelization, customer/stakeholder management, liaison with senior leadership to turn them into successful Intelligent/Sophisticated analytics engagements is an expectation.

To be successful in the role you must have

  • Project/Program Management Skills
  • Change& Improvement Management Skills
  • Executing & innovating
  • Learning and Researching
  • Applying expertise and technology
  • Analyzing
  • Presenting & communicating information
  • Persuading & Influencing


Minimum qualification and experience requirements:

  • Education: BS, MS, or Ph.D. in Computer Science, Computer Engineering, Mathematics, Physics, Economics, or related field; Certifying MI MOOCS can be a compliment
  • Proven experience required
  • Evidence of academic training in Statistics


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.

What happens once you apply?

To prepare yourself for the next steps, please explore here: https://www.ericsson.com/en/careers/jobopportunities/hiring-process

The last day to apply is September 24th, 2021.

We look forward to receiving your application in English. Please note we cannot accept applications via email.

Primarylocation for this role: Kista, Stockholm.

For specific questions please contact hiring manager Ramakrishna Poojari, Head of Product Area Intelligent Analytics, or Recruiter - Suman Thakur (suman.thakur@ericsson.com)

We welcome the opportunity to meet you!!

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