Data Scientist

Mobileum

Bengaluru

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+
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Job summary

A leading telecommunications company in Bengaluru seeks an experienced Data Scientist with strong expertise in Machine Learning and Deep Learning. The candidate will develop data-driven solutions, collaborate with cross-functional teams, and deliver actionable insights. You should have at least 4 years of experience, proficiency in Python and SQL, and the ability to communicate effectively with various stakeholders.

Qualifications

  • 4+ years of hands-on experience in a data science or machine learning role.
  • Experience in real-time and batch pipelines for AIML based solutions.
  • Ability to explain complex technical topics to non-technical stakeholders.

Responsibilities

  • Develop data-driven solutions for business problems.
  • Build and deploy machine learning models for business initiatives.
  • Collaborate with cross-functional teams to identify data opportunities.

Skills

Machine Learning
Deep Learning
Python
SQL
Data Analysis
Statistical Analysis
Data Wrangling
Natural Language Processing

Education

Bachelor’s or master’s degree in computer science, Statistics, Mathematics

Tools

AWS
GCP
Azure
Git
Docker
Airflow
TensorFlow

Job description

Role

Data Scientist

About the Job

We are looking for an experienced Data Scientist with a strong foundation in Machine Learning and Deep Learning knowledge and expertise in Python and SQL to join our growing data team. You will be responsible for developing data-driven solutions to solve business problems, building predictive models, and delivering actionable insights. This role requires analytical thinking, business acumen, and hands-on technical skills.

  • Collaborate with cross-functional teams (Product, Engineering, Marketing, etc.) to understand business requirements and identify data opportunities
  • Extract, clean, and analyze large volumes of data using Python and SQL
  • Build and deploy machine learning models to support key business initiatives (e.g., classification, forecasting, recommendation systems)
  • Perform statistical analysis and A/B testing to measure the impact of features and changes
  • Communicate findings clearly to stakeholders through dashboards, reports, and visualizations
  • Continuously improve data pipelines, feature engineering, and model accuracy
  • Ensure data quality and integrity across systems
Desired Profile
  • Experience in both real time and batch pipelines for AIML based solutions
  • Proficiency in Python (pandas, scikit-learn, numpy, matplotlib/seaborn, etc.)
  • Strong SQL skills, with experience in writing complex queries and optimizing performance
  • Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP)
  • Experience with data wrangling, feature engineering, and model evaluation
  • Proficient in using AI coding assistants (e.g., ChatGPT, Copilot) to accelerate data analysis, machine learning, pipeline automation, and rapid prototyping across tools like PySpark, pandas, and TensorFlow.
  • Skilled at translating natural language into code for data science tasks, with attention to ethical considerations and validation of AI-generated code.
  • Ability to explain complex technical topics to non-technical stakeholders.
Technical skills
  • Experience with cloud platforms (e.g., AWS, GCP, Azure)
  • Familiarity with tools like Airflow, or Docker
  • Experience with version control (Git) and collaborative coding
  • Hands-on experience with LLMs, prompt engineering, or RAG
Work Experience
  • 4+ years of hands-on experience in a data science or machine learning role with demonstrated history of delivering high impact solutions
Educational Qualification

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Telecommunications

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