Datascience Architect

Responsibilities

• Conduct POC and machine learning models to match requirements, specializing in:
  • Machine learning programming using Python
  • Algorithms: Linear Regression, Logistic Regression, Decision Tree, Support Vector Model, Naïve Bayes, k-Nearest Neighbor, K-Means, Random Forest, Gradient Boosting, ARIMAX, SARIMAX
  • Applications: data prediction, forecasting, market segmentation, sentiment analysis, text mining, text analytics
  • Frameworks: Keras and TensorFlow
• Perform coding using Databricks, AWS S3, Airflow, GitHub, Informatica, and Tableau, including:
  • AWS S3 file formats
  • GitHub version control
  • Scheduling extraction and event jobs with Airflow
  • ETL with Informatica
  • Data visualization with Tableau
• Design and develop solutions using SAS EG, Redshift, Teradata, and Business Objects 4.0, including:
  • Data analysis and management in SAS EG
  • Business intelligence with Business Objects
• Construct applications following company-specific processes for sustainability and efficiency
• Interact with analysts and developers to assess project capabilities, limitations, interfaces, and performance
• Execute projects with a focus on process setup and implementation efficiency
• Analyze requirements and engage in client interactions to define project scope
• Provide automation and reusable frameworks to reduce manual intervention in machine learning applications
• Gather business requirements and ideas from clients across different business units
• Deliver initial data analysis and investigation reports based on various data sources
• Identify gaps and propose innovative, sustainable solutions to clients
• Prepare test cases from test scenarios and business rules, including test plans and automation
• Document test results for sign-offs
• Support and maintain applications during the hypercare service phase
• Manage resources across a global platform
• Collect project metrics and produce milestone and status reports for clients
• Build and maintain client relationships to improve support and sustenance models

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or foreign academic equivalent)
• Three years of experience in the job offered or as a Data Science Architect

Schedule

40 hours per week, Monday through Friday, 9:00 AM – 5:00 PM

Location

34 Hayden Rowe Street, Suite #168, Hopkinton, MA 01748