Marketing Data Scientist

1 day ago

Bangalore, India Mobileum Full time

About Us: Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. 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. 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.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.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. Experience with cloud platforms (e.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: 4-5 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 Location:

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