Data Scientist Associate

hace 2 semanas

Ciudad de México, Ciudad de México Cotiviti A tiempo completo

Overview

Cotiviti is seeking a detail-oriented and highly motivated Data Scientist Associate 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 Data Scientist Associate will work under the guidance of senior team members to support the development and deployment of data-driven solutions.

Responsibilities

Data 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.

Qualifications

Education:

  • Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering).

Technical Skills:

  • Proficient in programming languages such as Python.
  • Experience with SQL for database querying.
  • Experience with machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch) and data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau, etc.).

Analytical Skills:

  • Strong problem-solving skills and the ability to think analytically.
  • Understanding of statistical methods and their applications.

Communication Skills:

  • Ability to communicate complex data findings in a clear and concise manner.
  • Good written and verbal communication skills.
  • Fully bilingual in English and Spanish (written and verbal).

Soft Skills:

  • Attention to detail and a commitment to accuracy.
  • Ability to work both independently and as part of a team.
  • Curiosity and a willingness to learn and adapt to new technologies and methods.

Minimum Experience:

  • 1-2 years of experience in data science or related fields, with internships or academic projects considered.

Preferred Qualifications:

  • Internship or project experience in data science or related fields.
  • Familiarity with big data technologies like Hadoop or Spark is a plus.
  • Familiarity with version control systems like Git.
  • Familiarity with JIRA or other product management tools is a plus.
  • Proficient in Microsoft Office (PowerPoint, Excel, Word).

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