Data Scientists

AI does it end-to-end

1. Clean data for analysis.
   18 jobs · 2 roles · 100% confidence
2. Monitor models in production.
   14 jobs · 1 role · 71% confidence
3. Retrain models in production.
   14 jobs · 1 role · 86% confidence
4. Query APIs to collect data.
   12 jobs · 1 role · 100% confidence
5. Clean data to prepare it for analysis.
   10 jobs · 1 role · 80% confidence
6. Clean and condition data.
   9 jobs · 1 role · 67% confidence
7. Cleanse data to prepare it for analysis.
   9 jobs · 1 role · 100% confidence
8. Cleanse data for analysis.
   5 jobs · 1 role · 100% confidence
9. Retrieve data from a variety of sources and structures
   5 jobs · 1 role · 100% confidence
10. Use version control tools to manage code and changes.
    5 jobs · 1 role · 60% confidence
11. Clean data for analysis and modeling.
    3 jobs · 1 role · 100% confidence
12. Manipulate data for analysis.
    3 jobs · 1 role · 67% confidence

Human + AI together

1. Analyze data-rich environments to identify relevant information.
   65 jobs · 2 roles · 100% confidence
2. Develop predictive data models.
   44 jobs · 2 roles · 100% confidence
3. Provide a deep understanding of data and its meaning.
   32 jobs · 1 role · 97% confidence
4. Use appropriate tools and frameworks to transform disparate data points into objective answers.
   26 jobs · 2 roles · 100% confidence
5. Create schemas for data storage.
   18 jobs · 1 role · 100% confidence
6. Create ETL pipelines.
   17 jobs · 1 role · 100% confidence
7. Monitor and evaluate the performance of deployed models.
   16 jobs · 1 role · 94% confidence
8. Ensure data quality and integrity in all processes.
   15 jobs · 1 role · 100% confidence
9. Stay updated with the latest trends in data science.
   15 jobs · 1 role · 100% confidence
10. Develop algorithms to solve client problems.
    14 jobs · 2 roles · 100% confidence
11. Develop and optimize machine learning models for various applications.
    14 jobs · 1 role · 100% confidence
12. Lead the development and implementation of advanced data science models.
    14 jobs · 1 role · 86% confidence

Judgment, taste, accountability

1. Work closely with clients to understand their questions and needs.
   58 jobs · 2 roles · 100% confidence
2. Guide teammates in data science work.
   32 jobs · 2 roles · 100% confidence
3. Lead the development of algorithms and systems.
   30 jobs · 2 roles · 74% confidence
4. Work with clients to understand their questions and data needs.
   20 jobs · 1 role · 100% confidence
5. Advise clients using data-driven findings to support informed decisions.
   17 jobs · 1 role · 71% confidence
6. Drive best practices in data science.
   16 jobs · 1 role · 94% confidence
7. Mentor and guide junior data scientists.
   16 jobs · 1 role · 100% confidence
8. Collaborate with stakeholders to understand requirements.
   15 jobs · 1 role · 93% confidence
9. Collaborate with cross-functional teams to integrate ML models into products and services.
   13 jobs · 1 role · 100% confidence
10. Govern models from a risk perspective.
    13 jobs · 1 role · 100% confidence
11. Lead the development of solutions to complex programs.
    11 jobs · 2 roles · 100% confidence
12. Mentor junior data scientists.
    10 jobs · 1 role · 100% confidence