Data Analysis Scientist - Machine Learning

As a Data Scientist specializing in Machine Learning and Time Series Analytics with 8+ years of experience, your role will involve the following 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. In order to excel in this role, you should meet the following qualifications and 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. This position offers an exciting opportunity to leverage your expertise in Data Science and Machine Learning to drive impactful insights and solutions within a dynamic and collaborative environment. As a Data Scientist specializing in Machine Learning and Time Series Analytics with 8+ years of experience, your role will involve the following 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. In order to excel in this role, you should meet the following qualifications and 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. This position offers an exciting opportunity to leverage your expertise in Data Science and Machine Learning to drive impactful insights and solutions within a dynamic and collaborative environment.