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ML/Data Scientist

Daten Technology Solutions

Noida · On-site Full-time Today

About the role

Job Details

  • Total Experience: 5 to 10 Years
  • No of Openings: 1
  • Type: On site
  • Location: NOIDA [INDIA]
  • Job Post Date: 08/07/2025

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About The Job

We are seeking an experienced ML/data scientist with over 5 years of expertise in the telecom industry. This role involves building, optimizing, and deploying machine learning models to support telecom operations.

Education Requirements

  • Bachelor’s degree in a related discipline.

Experience Requirements

  • Experience with GIS tools (QGIS/Mapinfo/ARCGIS)
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch).
  • Expertise in the Python programming language.
  • Strong knowledge of the AWS cloud platform.
  • Familiarity with big data tools (Spark, Hadoop) and SQL databases.
  • Knowledge of telecom-specific KPIs and technologies such as 5G is a plus.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.

Role & Responsibilities

  • Develop and implement ML models to analyze telecom network data.
  • Validate and optimize predictive models for accuracy and performance.
  • Identify and resolve performance issues using data-driven insights.
  • Collaborate with cross-functional teams to ensure alignment.
  • Design dashboards and visualizations to support decision-making (Tableau).
  • Perform exploratory data analysis to extract actionable insights.
  • Stay updated with emerging ML technologies and applications in telecom.
  • Automate data pipelines and feature

Requirements

  • Experience with GIS tools (QGIS/Mapinfo/ARCGIS)
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch).
  • Expertise in the Python programming language.
  • Strong knowledge of the AWS cloud platform.
  • Familiarity with big data tools (Spark, Hadoop) and SQL databases.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.

Responsibilities

  • Develop and implement ML models to analyze telecom network data.
  • Validate and optimize predictive models for accuracy and performance.
  • Identify and resolve performance issues using data-driven insights.
  • Collaborate with cross-functional teams to ensure alignment.
  • Design dashboards and visualizations to support decision-making (Tableau).
  • Perform exploratory data analysis to extract actionable insights.
  • Stay updated with emerging ML technologies and applications in telecom.
  • Automate data pipelines and feature engineering processes.

Skills

AWSARCGISHadoopMapinfoPyTorchQGISSparkSQLTableauTensorFlowPython

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