Data Scientist- Machine Learning

10 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Description

Are you passionate about

data, models, and real-world impact

? Join our

Data Science & Monitoring

team and help shape the future of

intelligent energy systems

!We design and implement

data-driven solutions

that make energy systems smarter, more efficient, and sustainable. You’ll work on exciting projects involving

machine learning, anomaly detection, time series analysis

, and

predictive modeling

, all within a cloud-native, collaborative, and interdisciplinary environment.If you thrive on solving complex problems, enjoy teamwork, and want to make a tangible impact through data science—this role is for you.

Key Responsibilities

  • Develop Advanced Machine Learning Models
Design, build, and deploy machine learning models for

anomaly detection, prediction, and performance optimization

across complex energy systems.
  • Analyze and Interpret Large Datasets
Explore vast amounts of operational and sensor data to uncover trends, detect anomalies, and generate actionable insights.
  • Data Preparation and Visualization
Clean, preprocess, and visualize time-series and event data to support effective model development and result interpretation.
  • Integrate Models into Production Systems
Collaborate with software engineers and cloud experts to deploy and monitor data science solutions in

scalable, production-grade environments

.
  • Drive Innovation and Model Explainability
Continuously enhance model transparency, interpretability, and performance through advanced algorithms, monitoring, and experimentation.

Requirements

  • Experience of 10 years plus.
  • Proficiency in Python and key data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Strong foundation in machine learning algorithms, statistics, and anomaly detection methods.
  • Experience with cloud platforms (e.g., Azure, AWS, or GCP) and scalable data processing workflows.
  • Skilled in data wrangling, feature engineering, and visualization tools such as Matplotlib or Plotly.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field (PhD a plus).

Desired Characteristics

  • Familiarity with forecasting, time series modeling, and predictive maintenance use cases.
  • Background in energy systems, operations research, or industrial analytics.
  • Experience deploying data science models to production using CI/CD pipelines or MLOps tools.
  • Strong analytical, communication, and problem-solving skills with a proactive mindset.
  • Excellent proficiency in English; other languages are a plus.

#bethechange

We look forward to receiving your application.Your contact is Anita Virnave SMA Solar India Pvt. Ltd.∗ SMA is committed to diversity and equal opportunity - unattached of gender, age, origin, religion, disability or sexual orientation.

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