Lead for Data Science and Analytics

Job Description

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.

Group Supply Digitalization mission is to accelerate the digital transformation and enable our teams to continue executing our strategy. The Digital Acceleration Team in Group Supply designs the type of digital journey and drives its execution in close collaboration with teams across Group Supply and other parts of Ericsson. By implementing a use-case approach, we will use best-in-class technologies and platforms to build and deploy advanced algorithms and models, combined with strong business knowledge and agile ways of working.

Would you like to learn more about the role itself?

Our Exciting Opportunity!

As part of the Digital Acceleration journey in Group Supply, to enable and support the NextGen Supply program, we need to build our own competencies in terms of Data Science and Analytics to work hand-in-hand with IT and other functions to define methods and analytical frameworks. Our goal is to develop an advanced engine to optimize our decisions and advance the way the Supply Chain operates.

You will

• Be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics in Group Supply
• Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to support the business, identify trends, and measure performance to address business problems
• Collaborate with business and process owners, solution designers to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
• Partner with Ericsson’s machine intelligence team in IT to prioritize and answer the most important questions where machine learning and AI breakthroughs will have material impact in Group Supply
• Use your experience in analytics tools and scientific rigor to produce impactful insights. This includes working with petabytes data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learnings and other machine learning systems
• Explore, create and test complex models and analytical frameworks, and coordinates and drives the deployment of models across Group Supply
• Collaborate with leaders, domain specialists, and decision makers to develop success criteria and optimize new products, features, policies, and models
• Mentor junior data scientists on technologies, methodologies and best-practices
• Develop methodologies, standards/best-practices and systems for reusable assets across Group Supply
• Develop and nurture digital communities within Ericsson and its ecosystem in the areas of expertise
• Collaborate with others on the best way to document and present the findings and experiments of the data analysis, including benchmarking against (de-facto) industry standards and baselines
• Collaborate with product development teams to industrialize the findings
• Communicate key results to senior management through verbal, visual, and written media
• Engage with the external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for Group Supply needs

To be successful in the role you should have

• Experience working with Supply Chain, Manufacturing, Logistics and other related fields
• Willingness to lead, coach and have a helicopter view of the why and how we should implement data science in Group Supply
• Ability to clearly communicate complex results to technical and non-technical audiences
• Versatility and willingness to learn new technologies on the job
• BS, MS, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, Economics, or related field
• Knowledge in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration
• Demonstrated skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
• Programming skills in various languages (C++, Scala, Java, R)
• Skills in the use of current state-of-the-art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow, and Spark

Recruitment process:

• Hiring Manager: Head of Group Supply Digitalization

• Recruiter: Kamila Zych ([email protected])

• Please submit your application documents in English by October 12th, 2020

• Role is based in Kista, Sweden

Curious to know more about life at Ericsson? Meet some of your future colleagues and watch our film:

https://www.ericsson.com/en/careers/working-here/our-people-film?utm_source=jobad&utm_medium=Referral&utm_campaign=GFHR_Global_PeopleFilm2020_28012020

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 next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.

Primary country and city: Sweden (SE) || || Stockholm || Supply&Log