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Lead - Data Scientist
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Lead - Data Scientist

Ericsson -
Noida, Uttar Pradesh

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Job details

Qualifications

Cloud architecture
Business intelligence
System design
SQL
Machine learning
Cloud development
Data science
Python
Analytics

Full job description

About this opportunity:
As part of Ericsson’s Data Scientist team, you'll spearhead the development of sophisticated machine learning solutions that address complex business challenges at scale. You'll employ advanced scientific methods, processes, and systems to extract strategic insights and drive organizational transformation through applied analytics. Direct your extensive expertise in machine learning towards architecting innovative AI/ML solutions that set standards for Ericsson's technical and architectural excellence while mentoring and elevating your team.

What you will do:

Define and lead technical strategy by analysing complex requirements, optimizing solutions, and managing constraints across large-scale initiatives while setting architectural direction for ML projects.
Architect and deploy enterprise-grade predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other advanced machine learning systems.
Demonstrate mastery in machine learning concepts and programming languages such as Python, PySpark, SQL, and advanced frameworks while establishing best practices across teams.
Develop and optimize solutions leveraging both on-premise and cloud-based machine learning platforms, ensuring scalability and performance.
Partner strategically with senior business leaders and executive decision-making personnel to define success metrics, translate business objectives into ML solutions, and drive ROI.
Lead, mentor, and develop emerging data scientists; establish thought leadership and foster a high-performing community of machine learning practitioners within Ericsson.
Drive innovation in ML methodologies, lead proof-of-concepts, and champion adoption of emerging technologies and best practices.

The skills you bring:

Minimum 13+ years of experience in Data Science with demonstrated impact in enterprise environments
Advanced DevSecOps practices and MLOps pipeline management
Strategic Business Understanding with ability to translate business goals into technical roadmaps
Expertise in Artificial Intelligence Systems and advanced AI/ML architectures
Advanced Software Engineering and system design principles
Enterprise-level Data Management and governance
Ericsson Business Intelligence and Analytics Competence at an advanced level
Mastery of Open-Source Programming Languages and frameworks
Advanced Data Preprocessing and feature engineering techniques
Advanced Statistical Analysis and experimental design
Cloud Development and multi-cloud architecture experience
Deep expertise in Machine Learning Algorithms and their applications
Leadership and team development capabilities
Technical communication and thought leadership

All academic credentials must be from recognized and accredited institutions and are further subject to verification.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.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: India (IN) || Noida

Job details: Data Scientist (CHG)

Job Stage: Job Stage 7

Primary Recruiter: Azwar Kamal

Hiring Manager: Vishal Singh

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lead solution architect data and analytics jobs in up

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