Telecom Data Science Specialist

21 hours ago

Bengaluru, Karnataka, India Six dee Telecom Solution Private Limited Full time
Six DEE Telecom Solution Private Limited is a well-established telecom product development company with a strong focus on innovation. Our products and solutions cater to the needs of telecom service providers across various sectors, including VAS, Network Solutions, Digital BSS, S&D, MFS, IOT/M2M, and more. With a proven track record of successful deployments in over 60 countries, we continue to expand our reach and capabilities.

Data Scientist Role Overview: We are seeking a highly skilled Data Scientist to join our team and contribute to driving impactful business solutions across diverse industries like telecommunications, finance, and retail. The ideal candidate should have 4-8 years of expertise in developing and deploying ML/DL models to address complex business challenges such as predictive analytics, customer segmentation, and personalization.

Key Responsibilities:
  • Data Science and Machine Learning : Develop and deploy ML/DL models using frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost for classification, regression, and forecasting tasks.
  • Natural Language Processing (NLP) and Generative AI : Design and deploy advanced NLP solutions, including document Q&A systems and AI-driven chatbots, utilizing state-of-the-art frameworks like LangChain, Hugging Face, and LlamaIndex.
  • Data Engineering and Visualization : Build robust pipelines using Python and PySpark to preprocess and analyze large datasets efficiently. Create visually compelling dashboards and tools using Power BI and Streamlit to communicate insights effectively to stakeholders.
  • Cloud Platforms and Deployment : Utilize cloud services such as AWS (SageMaker, Kinesis), Azure, or GCP to build scalable and secure data pipelines and deploy ML models. Work with containerization and orchestration tools like Docker and Kubernetes for scalable deployments.
  • Collaboration and Impact : Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Present findings and recommendations to both technical and non-technical audiences to influence decision-making.

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