Company:
Resource Informatics Group
Location: Washington Highlands
Closing Date: 16/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Role: Principal Data Scientist
Location: WASHINGTON, District of Columbia
Duration: 6+ months
Rate: $Market All Inclusive
Job Description
We are seeking a highly experienced Principal Data Scientist for a prestigious client based in Washington, DC. This senior role demands extensive expertise in data science, machine learning, and industry-specific applications, particularly within the railroad sector. The ideal candidate will have a proven track record of developing, validating, deploying, and monitoring complex data models and leveraging cutting-edge technologies to drive data-driven decision-making and innovation.
Responsibilities:
Develop and implement data science models for data ingestion, preparation, visualization, selection, validation, accuracy measurement, deployment, and monitoring.
Utilize Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Seaborn, and Keras for advanced data analysis and modeling.
Employ AWS SageMaker for building, training, and deploying machine learning models.
Apply various algorithms including machine learning (classification, multiclass classification, regression), time series forecasting, computer vision, natural language processing, text analytics, graph databases, and IoT sensor data analysis.
Leverage extensive experience in the railroad industry to deliver innovative data solutions and insights.
Location: WASHINGTON, District of Columbia
Duration: 6+ months
Rate: $Market All Inclusive
Job Description
We are seeking a highly experienced Principal Data Scientist for a prestigious client based in Washington, DC. This senior role demands extensive expertise in data science, machine learning, and industry-specific applications, particularly within the railroad sector. The ideal candidate will have a proven track record of developing, validating, deploying, and monitoring complex data models and leveraging cutting-edge technologies to drive data-driven decision-making and innovation.
Responsibilities:
Develop and implement data science models for data ingestion, preparation, visualization, selection, validation, accuracy measurement, deployment, and monitoring.
Utilize Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Seaborn, and Keras for advanced data analysis and modeling.
Employ AWS SageMaker for building, training, and deploying machine learning models.
Apply various algorithms including machine learning (classification, multiclass classification, regression), time series forecasting, computer vision, natural language processing, text analytics, graph databases, and IoT sensor data analysis.
Leverage extensive experience in the railroad industry to deliver innovative data solutions and insights.
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