Chief Data Strategist

3 days ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Title: Chief Data Strategist

Role Overview

We are seeking a seasoned data expert to drive business growth through informed decision-making. As Chief Data Strategist, you will lead the development of predictive models and data-driven insights that drive our organization's success.

Key Responsibilities:
  1. Design and deploy machine learning models for predictive maintenance, process optimization, demand forecasting, and asset performance management.
  2. Analyze large-scale datasets sourced from industrial systems to derive actionable insights and inform strategic decisions.
  3. Develop and manage data pipelines for ingestion, transformation, and storage using tools such as Apache Spark, Airflow, or Kafka.
  4. Collaborate with domain experts to frame data science problems relevant to operations, manufacturing processes, logistics systems.
  5. Perform Exploratory data Analysis to understand data patterns and data readiness for Machine learning use cases.
  6. Deploy models in cloud or hybrid environments and monitor performance using MLOps best practices.
  7. Build and maintain visual dashboards and analytics reports using Power BI, Tableau, or Python-based frameworks.
  8. Communicate insights effectively to business and technical stakeholders.
Technical Skills:
  1. Strong proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.).
  2. Experience in Computer vision, Image processing, NLP and multi model techniques.
  3. Experience with data wrangling and processing large datasets using SQL, Pandas, Spark, or similar.
  4. Solid understanding of machine learning, time-series forecasting, statistical modelling, and MLOps practices.
  5. Experience with LLM fine-tuning, vector databases, or industrial NLP applications.
  6. Experience deploying models on cloud platforms (AWS, Azure, or GCP) using tools such as SageMaker, Vertex AI, or Databricks.
  7. Familiarity with data from industrial systems.
  8. Hands-on with visualization tools (e.g., Power BI, Tableau).
Requirements

To be successful in this role, you will need:

  • A Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
  • At least 5 years of experience in data science, machine learning, or a related field.
  • Excellent communication and collaboration skills.

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