Data Science Data Scientist
DATA3.GEN.P3
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
The story of this role
As a Data Science Data Analyst, you transform raw data into actionable insights that drive business decisions.
Who does this work
You, the Data Science Data Analyst, are tasked with understanding complex data landscapes.
The problem this role solves
- The external problem: Your team struggles to make data-driven decisions due to unclean or poorly structured data.
- The internal problem: You feel overwhelmed by the vast amount of data and unsure where to start in the analysis process.
- Why it matters: Every business deserves to leverage its data effectively to make informed choices.
What the role brings
We provide tools, resources, and support to help you effectively collect, clean, and interpret data.
The plan
- 1. Identify business needs by collaborating with stakeholders.
- 2. Collect relevant data from various sources.
- 3. Clean and structure the data to ensure accuracy.
- 4. Analyze the data to uncover trends and insights.
- 5. Present actionable findings and recommendations to your team.
The call to action
Start utilizing best practices in data analysis today to enhance the quality of your insights.
What's at stake
Failing to effectively analyze data can lead to missed opportunities and poor decision-making for your organization.
Success looks like
You gain confidence in your analytical skills, leading to clear, data-driven recommendations that support business goals.
Summary
Responsible for developing models and algorithms to extract deeper insights or drive product features from data.
Level — P3 — Mid-Level Professional
Fully competent professional; works independently on standard projects
- Scope
- Features or a sub-system end-to-end
- Autonomy
- Works independently on standard work; reviewed on the non-standard
- Complexity
- Diverse problems; adapts existing approaches
- Impact
- Project / team outcomes
- Decision rights
- Owns implementation decisions for own scope
- Leadership
- Mentors juniors informally
- Typical experience
- 3–5 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Componentsshow ▾
Responsibilities8
- Designing experiments and statistical testscommonlevel
- Creating predictive modelscommonlevel
- Developing machine learning pipelinescommonlevel
- Collaborating with cross-functional teamscommonlevel
- Communicating findings to stakeholderscommonlevel
- Improving data collection and analysis processescommonlevel
- Conducting data-driven researchcommonlevel
- Implementing data solutions to business problemscommonlevel
Tasks3
- Develop predictive modelscommonlevel
- Design and conduct experimentscommonlevel
- Implement machine learning solutionscommonlevel
Skills8
- Python/R programmingcommonlevel
- Machine learningcommonlevel
- Statistical analysiscommonlevel
- Data modelingcommonlevel
- Data pipeline developmentcommonlevel
- Experiment designcommonlevel
- Predictive analyticscommonlevel
- Data visualizationcommonlevel
Knowledge8
- Machine learning algorithmscommonlevel
- Statistical methodscommonlevel
- Data science toolscommonlevel
- Data engineeringcommonlevel
- Business acumencommonlevel
- Data ethicscommonlevel
- Advanced SQLcommonlevel
- Research methodologiescommonlevel
competency8
- Strong programming ability (Python/R, SQL)commonlevel
- Mathematics and statistics knowledgecommonlevel
- Familiarity with machine learning techniquescommonlevel
- Critical thinkingcommonlevel
- Problem-solvingcommonlevel
- Data storytellingcommonlevel
- Collaborationcommonlevel
- Project managementcommonlevel
qualification4
- 3-5+ years of experiencecommonlevel
- Critical thinking and domain knowledgecommonlevel
- Master's degree in Data Science or related fieldcommonlevel
- Proficiency in Python/R and SQLcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Data Science III | common | medium0.70 | ✓ |
| Data Science 3 | common | medium0.66 | ✓ |
| Mid-Level Data Science | common | medium0.64 | ✓ |
| Data Science Data Scientist | common | medium0.60 | ✓ |
| Intermediate to Advanced IC Level | common | medium0.50 | ✓ |
Classification mappingsshow ▾
O*NET / SOC
- code=15-2051.00title=Data Scientistssource=corpusreviewStatus=approved