Lead Data Scientist

3 weeks ago

Bengaluru Karnataka India, Karnataka Creative Synergies Group Full time

Experience Range - 6 to 10 Years

Location - Whitefield Bangalore


Data Scientist - Key Responsibilities:

  • Design, build, and deploy machine learning models for predictive maintenance, process optimization, demand forecasting, and asset performance management.
  • Work with large-scale datasets sourced from industrial systems to derive insights and inform strategic decisions.
  • Develop and manage data pipelines for ingestion, transformation, and storage using tools such as Apache Spark, Airflow, or Kafka.
  • Collaborate with domain experts to frame data science problems relevant to operations, manufacturing processes, logistics systems.
  • Perform Exploratory data Analysis to understand data patterns and data readiness for Machine learning use cases.
  • Deploy models in cloud or hybrid environments and monitor performance using MLOps best practices.
  • Build and maintain visual dashboards and analytics reports using Power BI, Tableau, or Python-based frameworks.
  • Communicate insights effectively to business and technical stakeholders.
  • Apply generative AI and large language models (LLMs) to industrial data for document automation, decision support, and workflow optimization.


Technical Skills:

  • Strong proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.).
  • Experience in Computer vison, Image processing, NLP and multi model techniques.
  • Experience with data wrangling and processing large datasets using SQL, Pandas, Spark, or similar.
  • Solid understanding of machine learning, time-series forecasting, statistical modelling, and MLOps practices.
  • Experience with LLM fine-tuning, vector databases, or industrial NLP applications.
  • Experience deploying models on cloud platforms (AWS, Azure, or GCP) using tools such as SageMaker, Vertex AI, or Databricks.
  • Familiarity with data from industrial systems
  • Hands-on with visualization tools (e.g., Power BI, Tableau).
  • Certifications: Relevant certifications in Cloud-based Architecture (AWS, Azure, or GCP) are a plus.

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