SOC 15-2021 · Job decomposition
Mathematicians
What this job actually does, classified into Automate, Augment, and Human-only. Decomposed from 29 canonical roles mapped to this SOC across Nuvepro's real-world JD corpus.
Tasks drawn from the broader SOC minor group 15-20% because the exact SOC has thin coverage in our corpus.
2,030
U.S. employment
BLS OEWS
$126,710
Median annual wage
BLS OEWS
42%
AEI exposure
Anthropic Economic Index
774
Distinct tasks
From 29 roles
Task mix (by distinct task)
Automate · 26 (3%)
Augment · 612 (79%)
Human-only · 136 (18%)
Automate
12 of 26
AI does it end-to-end
- Clean data for analysis.18 jobs · 2 roles · 100% confidence
- Monitor models in production.14 jobs · 1 role · 71% confidence
- Retrain models in production.14 jobs · 1 role · 86% confidence
- Query APIs to collect data.12 jobs · 1 role · 100% confidence
- Clean data to prepare it for analysis.10 jobs · 1 role · 80% confidence
- Clean and condition data.9 jobs · 1 role · 67% confidence
- Cleanse data to prepare it for analysis.9 jobs · 1 role · 100% confidence
- Validate incoming data against established standards and criteria.6 jobs · 1 role · 83% confidence
- Automate reporting processes for regular and ad-hoc stakeholder needs.5 jobs · 1 role · 60% confidence
- Cleanse data for analysis.5 jobs · 1 role · 100% confidence
- Execute tools to report on data quality.5 jobs · 1 role · 100% confidence
- Retrieve data from a variety of sources and structures5 jobs · 1 role · 100% confidence
Augment
12 of 612
Human + AI together
- Analyze data-rich environments to identify relevant information.65 jobs · 2 roles · 100% confidence
- Develop predictive data models.44 jobs · 2 roles · 100% confidence
- Provide a deep understanding of data and its meaning.32 jobs · 1 role · 97% confidence
- Use appropriate tools and frameworks to transform disparate data points into objective answers.26 jobs · 2 roles · 100% confidence
- Create schemas for data storage.18 jobs · 1 role · 100% confidence
- Create ETL pipelines.17 jobs · 1 role · 100% confidence
- Monitor and evaluate the performance of deployed models.16 jobs · 1 role · 94% confidence
- Ensure data quality and integrity in all processes.15 jobs · 1 role · 100% confidence
- Stay updated with the latest trends in data science.15 jobs · 1 role · 100% confidence
- Develop algorithms to solve client problems.14 jobs · 2 roles · 100% confidence
- Develop and optimize machine learning models for various applications.14 jobs · 1 role · 100% confidence
- Lead the development and implementation of advanced data science models.14 jobs · 1 role · 86% confidence
Human-only
12 of 136
Judgment, taste, accountability
- Work closely with clients to understand their questions and needs.58 jobs · 2 roles · 100% confidence
- Guide teammates in data science work.32 jobs · 2 roles · 100% confidence
- Lead the development of algorithms and systems.30 jobs · 2 roles · 74% confidence
- Work with clients to understand their questions and data needs.20 jobs · 1 role · 100% confidence
- Advise clients using data-driven findings to support informed decisions.17 jobs · 1 role · 71% confidence
- Drive best practices in data science.16 jobs · 1 role · 94% confidence
- Mentor and guide junior data scientists.16 jobs · 1 role · 100% confidence
- Collaborate with stakeholders to understand requirements.15 jobs · 1 role · 93% confidence
- Collaborate with cross-functional teams to integrate ML models into products and services.13 jobs · 1 role · 100% confidence
- Govern models from a risk perspective.13 jobs · 1 role · 100% confidence
- Cross-train as workstation controller when feasible.12 jobs · 1 role · 100% confidence
- Lead the development of solutions to complex programs.11 jobs · 2 roles · 100% confidence
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