Data Science Career Ladders
How to Think About Data Career Paths
Data career paths are varied and complex, requiring a strategic approach to navigate. A clear understanding of the industry, skills, and personal goals is essential to succeed.
- Everything You Need to Build Your Own Data Science Career Ladder
George provides details on individual contributor and management tracks for data scientists, along with descriptions of 49 skills within 12 skill categories. At the bottom of the article, George provides a link to a sample data science skill matrix.
- The Analyst Career Path
The data analysis department is generally smaller than departments like engineering and product management, which leads to more questions about how to progress through a data analysis career. Casey provides 3 career pathway options based on his experience managing data analysts: • Option 1: Graduate into Data Science • Option 2: Become an Analytics Manager • Option 3: Graduate into Product Management
Data Skill Groups
Data skill groups encompass a broad range of competencies, including technical, business, and soft skills. These groups are essential for developing a well-rounded data professional.
- Data Science Career Path & Progression
Julien explains the 4 skill groups (he calls them data axes) of data career paths: • Data axis • Engineering axis • Business axis • Product axis
Data Analytics Career Ladders Examples
Data analytics career ladders offer a clear path for professionals to progress from entry-level to senior positions. These ladders typically involve mastering specific skills and taking on increasing levels of responsibility.
- Yerdle Recommerce Analytics Team Career Ladder
Yerdle's data analytics career ladder covers 4 IC levels with.5 skill groups, and 2 manager levels with 4 skill groups.
Data Science Career Ladders Examples
Data science career ladders are similar to analytics ladders but require a deeper understanding of statistics, programming, and machine learning. These ladders often involve transitioning from a more technical role to a leadership position.
- Building high-performing Research and Data Science teams with clear career paths
Karen describes the process and results of building a career ladder for the research, analytics, and data science team at Intercom. The IC track covers 6 levels and 6 skill groups, and the manager track covers 2 levels with 5 skill groups.
- Kickstarter's Engineering & Data Science Career Ladders
Kickstarter's approach has fewer levels and uses textual descriptions rather than a matrix of skills.