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Data Analyst-Machine Learning,Time Series Forecasting,Manufacturing

Exclusive opportunity

Onsite

Data Analyst-Machine Learning,Time Series Forecasting,Manufacturing

Visara Human Capital Services

Data Analyst-Machine Learning,Time Series Forecasting,Manufacturing

Skills

SQL QueriesPythonNumPypandasData AnalysisMachine LearningPower BI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹850,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Data Analyst Python | Machine Learning | Time Series Forecasting | Manufacturing

Experience: 5+ Years

Location: Bangalore

Employment Type: Full-Time

Job Description

We are hiring an experienced Data Analyst with strong expertise in Python, Machine Learning, Statistical Analysis, and Time Series Forecasting for manufacturing analytics projects.

Key Responsibilities

  • Collect, clean, and integrate data from SCADA, MES, ERP, Sensors, and IoT systems
  • Build ETL/data pipelines using Python (Pandas, NumPy, SQLAlchemy)
  • Perform EDA, statistical analysis, regression, correlation, and hypothesis testing
  • Develop predictive models for equipment failure, quality prediction, anomaly detection, and process optimization
  • Build advanced Time Series Forecasting models using XGBoost, LightGBM, Prophet, LSTM, or TCN
  • Perform feature engineering and feature selection on industrial time-series datasets
  • Create dashboards using Power BI, Plotly, or Dash
  • Deploy, validate, and improve ML models for production environments

Mandatory Skills

  • 5+ years of experience as a Data Analyst/Data Scientist
  • Strong Python (Pandas, NumPy, Scikit-learn)
  • SQL
  • Machine Learning & Statistical Modeling
  • Time Series Forecasting
  • XGBoost / LightGBM / Prophet / LSTM / TCN
  • Power BI / Plotly / Dash
  • ETL & Data Pipelines
  • Feature Engineering
  • Regression, Correlation & Root Cause Analysis
  • Git
  • Manufacturing/Industrial Analytics exposure preferred

Preferred Experience

  • Manufacturing / Process Industry / Smart Factory / Industry 4.0
  • SCADA, MES, ERP or Sensor Data
  • Predictive Maintenance
  • Energy Analytics

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