Work from Office
Full Time
We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, youll work on impactful projects that accelerate energy efficiency and sustainability on a global scale.
o Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives.
o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems.
o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis.
o Exploring and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets.
o Developing predictive/prescriptive models, algorithms, and prototypes to support business.
o Having working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system.
o Having hands-on experience in Forecasting using traditional ML and Deep Networks.
o Performing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms.
o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations.
o Understanding CI/CD processes in product deployment and used it in delivery.
o Understanding of the Dockerization, REST APIs.
o Working knowledge on software development processes.
o Stay up to date with the latest trends and advancements in data science, machine learning, and AI
o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record.
o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms.
o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.
o Strong programming skills in languages such as Python.
o Exposure to the industrial engineering domain is preferred.
o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus.
o Proficient in the use of data science tools.
o A collaborative, team-oriented attitude with a proactive mindset.
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