Data Scientist

Step into the role of a Data Scientist at Ericsson and become a vital part of a team that's revolutionizing the way we tackle complex business challenges through machine learning and advanced analytics. You'll use cutting-edge scientific methods, processes, and systems to uncover valuable insights and help shape the future of applied analytics. Your expertise in machine learning will be crucial in formulating innovative AI/ML solutions that align with Ericsson's architectural and coding standards.

What You Will Do

1. Implement Technical Requirements. Analyze and optimize technical requirements while effectively managing constraints to ensure seamless integration and functionality.
2. Build Advanced Models. Develop predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
3. Leverage Your ML Expertise. Utilize your proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, and more.
4. Develop Solutions. Create solutions using both on-premise and cloud-based machine learning platforms.
5. Collaborate with Business Leaders. Work closely with business leaders and decision-makers to define success metrics and develop ML solutions that meet business needs.
6. Mentor Emerging Talent. Guide and mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.

The Skills You Bring

1. DevSecOps. Integrate security practices into the DevOps processes.
2. Business Understanding. Deep understanding of business processes and the ability to translate business needs into technical solutions.
3. AI Systems. Expertise in artificial intelligence systems and their application in solving real-world problems.
4. Software Engineering. Strong software engineering skills to build robust and scalable solutions.
5. Data Management. Proficient in managing and processing large datasets efficiently.
6. Ericsson Business Intelligence and Analytics Competence. Familiarity with Ericsson's business intelligence and analytics frameworks.
7. Open-Source Programming Languages. Skilled in using open-source programming languages for developing ML solutions.
8. Data Preprocessing. Expertise in preparing and preprocessing data for machine learning applications.
9. Statistics. Strong statistical knowledge to inform and guide model development.
10. Cloud Development. Experience in developing cloud-based solutions.
11. Machine Learning Algorithms. In-depth knowledge of various machine learning algorithms and their practical applications.

Why Join Ericsson?

At Ericsson, you'll have an outstanding opportunity to use your skills and imagination to push the boundaries of what's possible. You'll tackle some of the world's toughest problems with innovative solutions never seen before. You'll be challenged but never alone, as you'll be joining a team of diverse innovators all driven to go beyond the status quo to craft what comes next.

Diversity and Inclusion

Encouraging a diverse and inclusive organization is core to our values at Ericsson. We believe that collaborating with people from different backgrounds drives 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. Learn more here.