Data Scientist Associate

hace 5 días

Ciudad de México, Ciudad de México Cotiviti A tiempo completo
Overview

Cotiviti is seeking a highly motivated and detail-oriented Associate Data Scientist to join our innovative team. This entry-level role is ideal for recent graduates or individuals with limited experience in data science but with a strong passion for data and a keen interest in the healthcare industry. The Associate Data Scientist will work under the guidance of senior team members to support the development and deployment of data-driven solutions. If you are passionate about data and eager to solve complex problems, we encourage you to apply.

ResponsibilitiesData Collection and Cleaning
  • Assist in collecting data from various sources, including databases, web scraping, and public datasets.
  • Clean and preprocess data to ensure quality and usability for analysis.
Data Analysis
  • Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Apply basic statistical methods to analyze data and generate preliminary reports.
Model Building
  • Support the development of machine learning models to solve business problems.
  • Assist in evaluating model performance and making improvements.
Feature Engineering and Deployment
  • Contribute to feature identification and testing, implementing feedback loops to refine models.
  • Assist in preparing models for deployment, working closely with production operations to monitor performance.
Data Visualization
  • Create visualizations and reports to effectively communicate data insights to stakeholders using tools like Matplotlib, Seaborn, Tableau, etc.
Collaboration
  • Work closely with cross-functional teams, including data engineers, business analysts, and other stakeholders.
  • Participate in team meetings and contribute to data-driven solutions.
Documentation
  • Document data processes, models, and analyses, ensuring reproducibility and knowledge sharing.
Customer Engagement
  • Assist in engaging with customers to identify opportunities for integrating data insights into their decision-making processes.
Best Practices
  • Learn and share best practices in structured problem-solving and data analysis.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting.

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