About this opportunity:
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager - Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.
Key Responsibilities
- Enhanced Data analytics and Data Science - Use case design, modelling, and benefit realization
- Development of scientific methods, processes, and systems to extract knowledge or insights
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.
Join our Team
What you will do:
- Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive & predictive) covering standard NOC parameters (Alarms, Tickets, WOs).
- Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.
- Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.
- Translate data algorithms and complex ideas into actionable management insights and solutions.
- Translate operator business objectives into business intelligence through regressive data analytics.
- Drive reuse of analytics capabilities as per demands in other contracts.
- Analytical model development & visualization request handling.
- Model LCM & Enhancements over existing models.
- Explore and work on Big Data tools and technologies to sustain Ericsson's continued operational transformation objectives and market leadership.
- Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.
- Recognize irrelevant information and prevent it from clouding the overall picture.
- Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.
- Work with MSDMs/CPM, Operations SME & other stakeholders to conduct value-stream mapping & propose elimination of any non-value activities - to gain operational efficiencies.
The skills you bring:
- 7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.
- Hands-on experience working in the related domains and/or Service Management functions.
- Strong understanding of Managed Services environment is mandatory.
- Strong telecom background in any of the domains (RAN/Core) is mandatory.
- Prior experience of working in MBNL operations is a plus point.
- Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.
- Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.
- Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.
- Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.
- Education: bachelor's degree or equivalent.
- Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.
- Must have the ability to drive projects independently.
- Excellent English language skills oral and written.
- Self-motivated and works excellently under pressure.
- High degree of accountability and integrity.
- Highly developed skills in Interpersonal communication and ability to communicate effectively.
- Customer oriented and business minded - has a consultative approach and focuses on profitability.
- Analytical with strong problem-solving capability and strategic thinking.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll 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 champion 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 Employer. learn more.
Primary country and city: Saudi Arabia (SA) ||
Req ID: 785347
Skills Required
- 7+ years of total experience
- 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics
- Strong understanding of Managed Services environment
- Strong telecom background in RAN/Core domains
- Knowledge and experience in Data Analytic tools like TABLEAU
- Strong knowledge of SQL, PL/SQL, SQL Server, SPSS
- Good command of programming languages such as R, Python
- Education: bachelor's degree or equivalent
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, vision, and mental‑health options are positioned as core benefits with multiple plan choices in key markets. Official materials explicitly emphasize healthcare breadth as part of “Life at Ericsson.”
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Retirement Support — 401(k) with employer matching in the U.S., pensions in some regions, and broad access to an ESPP indicate strong long‑term financial support. Company filings and AGM materials describe share programs and post‑employment benefits as ongoing pillars of the package.
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Leave & Time Off Breadth — Paid time off, sick leave, holidays, and paid volunteer time are highlighted alongside generous parental leave in various locations. Time‑off entitlements are presented as a strong component of the total rewards offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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