Our Client Currently looking for Data Scientist – Machine Learning/Time Series Forecasting

Key Responsibilities :

– Perform advanced exploratory data analysis (EDA) on large-scale telemetry, IoT, and sensor datasets.

– Develop and optimize machine learning models for prediction, classification, and regression use cases.

– Build scalable data processing and feature engineering pipelines using Python, SQL, and PySpark.

– Design and implement time-series forecasting models for telemetry and operational data.

– Analyze trends, anomalies, and performance patterns from high-frequency datasets.

– Create interactive dashboards and visualizations using Power BI for business stakeholders.

– Support model deployment, monitoring, retraining, and lifecycle management activities.

– Collaborate with Data Engineers to optimize data pipelines and processing workflows.

– Work closely with product, engineering, and business teams to integrate predictive models into production environments.

– Document methodologies, model performance, and analytical findings.

Required Qualifications & Skills :

– 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics.

– Expert-level Python programming skills with Pandas, NumPy, and Scikit-Learn.

– Strong hands-on experience with PySpark for large-scale data processing.

– Advanced SQL skills for data extraction, transformation, and analysis.

– Deep understanding of Machine Learning algorithms and statistical modeling techniques.

– Experience with Time-Series Analysis and Forecasting models such as ARIMA, Prophet, or LSTM.

– Strong experience building data visualizations and dashboards using Power BI.

– Experience working with large-scale structured and unstructured datasets.

– Strong analytical, problem-solving, and communication skills.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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