The Job

Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

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In short

Ericsson is seeking a Data Scientist in Noida, India, to develop unique machine learning and AI/ML solutions using scientific methods and programming languages like Python and Pyspark. Responsibilities include building predictive models, collaborating with business leaders, and mentoring junior data scientists.

Responsibilities

  • Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
  • Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
  • Develop solutions using on-premise and cloud-based machine learning.
  • Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
  • Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.

Requirements

  • Minimum 6 years of experience in data Science
  • DevSecOps
  • Business Understanding
  • Artificial Intelligence Systems
  • Software Engineering
  • Data Management
  • Ericsson Business Intelligence and Analytics Competence
  • Open-Source Programming Languages
  • Data Preprocessing
  • Statistics
  • Cloud Development
  • Machine Learning Algorithms
  • Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.

Desired Qualifications

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

Benefits

  • Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
  • Challenging work with a team of diverse innovators.
  • A chance to build solutions never seen before to some of the world's toughest problems.
#Data Scientist#Machine Learning#AI#Cloud
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Company

Ericsson

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

Noida, India

Applicants

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