Data Scientist Associate
hace 3 semanas
We are seeking a highly motivated and detail-oriented 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.
Responsibilities:
- 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.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development of machine learning models to solve business problems.
- Assist in evaluating model performance and making improvements.
- 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.
- Create visualizations and reports to effectively communicate data insights to stakeholders using tools like Matplotlib, Seaborn, Tableau, etc.
- Work closely with cross-functional teams, including data engineers, business analysts, and other stakeholders.
- Participate in team meetings and contribute to data-driven solutions.
- Document data processes, models, and analyses, ensuring reproducibility and knowledge sharing.
- Assist in engaging with customers to identify opportunities for integrating data insights into their decision-making processes.
- Learn and share best practices in structured problem-solving and data analysis.
Qualifications:
- Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering).
- 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.).
- Strong problem-solving skills and the ability to think analytically.
- 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).
- 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.
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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