@sparring/tech-roles-library
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Comprehensive tech roles and competencies library for 78 technical roles with 9 career levels each. Includes detailed competencies and career progression paths with complete bilingual support (EN/ES).
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{
"role": "Data Scientist",
"category": "Data",
"levels": {
"DS-L1": {
"level": "L1 - Data Scientist Trainee",
"levelNumber": 1,
"yearsRange": {
"min": 0,
"max": 1
},
"coreCompetencies": [
"Basic understanding of descriptive and inferential statistics",
"Elementary knowledge of probability and distributions",
"Ability for basic exploratory data analysis",
"Basic understanding of hypothesis testing",
"Ability to create simple visualizations",
"Elementary knowledge of correlation and regression",
"Basic understanding of data cleaning and preprocessing",
"Ability to use basic statistical tools"
],
"complementaryCompetencies": [
"Basic knowledge of SQL",
"Familiarity with notebooks and analytical environments",
"Elementary understanding of business metrics"
],
"indicators": [
"Requires constant supervision in analysis",
"Can execute predefined analyses",
"Needs 6-12 months of mentoring"
]
},
"DS-L2": {
"level": "L2 - Junior I",
"levelNumber": 2,
"yearsRange": {
"min": 1,
"max": 2
},
"coreCompetencies": [
"Ability to perform complete statistical analysis",
"Ability to build basic predictive models",
"Practical knowledge of feature engineering",
"Understanding of validation techniques and overfitting",
"Ability to perform A/B testing and experimentation",
"Ability for storytelling with data",
"Knowledge of segmentation and clustering",
"Understanding of basic time series analysis"
],
"complementaryCompetencies": [
"Knowledge of big data tools",
"Ability for web scraping",
"Understanding of data ethics"
],
"indicators": [
"Develops models with moderate supervision",
"Generates basic actionable insights",
"Communicates results effectively"
]
},
"DS-L3": {
"level": "L3 - Junior II",
"levelNumber": 3,
"yearsRange": {
"min": 2,
"max": 3
},
"coreCompetencies": [
"Mastery of classical machine learning algorithms",
"Ability for model optimization and tuning",
"Ability for causal analysis and inference",
"Deep knowledge of experimental design",
"Ability to work with unstructured data",
"Solid understanding of dimensionality reduction",
"Ability for ensemble methods and stacking",
"Knowledge of model interpretability"
],
"complementaryCompetencies": [
"Knowledge of basic deep learning",
"Ability for basic NLP",
"Understanding of recommender systems"
],
"indicators": [
"Leads end-to-end analytical projects",
"Improves business metrics through insights",
"Proposes new analytical methodologies"
]
},
"DS-L4": {
"level": "L4 - Mid-Level I",
"levelNumber": 4,
"yearsRange": {
"min": 3,
"max": 5
},
"coreCompetencies": [
"Ability to design complete analytical strategies",
"Mastery of advanced machine learning techniques",
"Ability for modeling complex systems",
"Deep knowledge of optimization algorithms",
"Ability to implement deep learning models",
"Mastery of advanced statistical inference",
"Ability for survival analysis and hazard modeling",
"Knowledge of Bayesian methods and probabilistic programming"
],
"complementaryCompetencies": [
"Knowledge of reinforcement learning",
"Ability for computer vision",
"Understanding of graph analytics"
],
"indicators": [
"Defines analytical strategy for products",
"Mentors junior data scientists",
"Publishes analyses and methodologies"
]
},
"DS-L5": {
"level": "L5 - Mid-Level II",
"levelNumber": 5,
"yearsRange": {
"min": 5,
"max": 7
},
"coreCompetencies": [
"Expertise in enterprise-scale modeling",
"Ability to design complex experiments",
"Mastery of causal inference and econometrics",
"Ability for simulation and Monte Carlo methods",
"Deep knowledge of time series forecasting",
"Ability to implement AutoML solutions",
"Expertise in advanced anomaly detection",
"Mastery of multi-objective optimization"
],
"complementaryCompetencies": [
"Knowledge of quantum algorithms",
"Ability for federated analytics",
"Understanding of differential privacy"
],
"indicators": [
"Leads data science for business lines",
"Defines corporate analytical methodologies",
"Impacts strategic decisions with analysis"
]
},
"DS-L6": {
"level": "L6 - Senior I",
"levelNumber": 6,
"yearsRange": {
"min": 7,
"max": 10
},
"coreCompetencies": [
"Ability to define enterprise data science strategy",
"Expertise in advanced analytics and AI",
"Mastery of decision science and prescriptive analytics",
"Ability to build data products",
"Deep knowledge of industry-specific modeling",
"Ability to lead applied research",
"Expertise in explainable AI and fairness",
"Mastery of advanced experimentation platforms"
],
"complementaryCompetencies": [
"Knowledge of cognitive computing",
"Ability for synthetic data generation",
"Understanding of edge analytics"
],
"indicators": [
"Architects enterprise analytical solutions",
"Leads data-driven transformation",
"Recognized as domain expert"
]
},
"DS-L7": {
"level": "L7 - Senior II",
"levelNumber": 7,
"yearsRange": {
"min": 10,
"max": 12
},
"coreCompetencies": [
"Leadership in organizational analytical innovation",
"Ability to create competitive advantage through analytics",
"Expertise in AI strategy and roadmapping",
"Mastery of advanced research methods",
"Ability to define data science governance",
"Deep knowledge of analytics economics",
"Expertise in building data science teams",
"Ability to lead open science initiatives"
],
"complementaryCompetencies": [
"Ability to patent methodologies",
"Ability for academic collaboration",
"Knowledge of analytics ventures"
],
"indicators": [
"Defines corporate analytical philosophy",
"Speaker at top-tier conferences",
"Influences industry practices"
]
},
"DS-L8": {
"level": "L8 - Principal/Chief",
"levelNumber": 8,
"yearsRange": {
"min": 12,
"max": 15
},
"coreCompetencies": [
"Strategic vision for the future of data science",
"Ability to transform companies through analytics",
"Expertise in data science for strategic advantage",
"Mastery of research leadership and innovation",
"Ability to define scientific governance",
"Deep knowledge of data science ethics",
"Expertise in academic-industry partnerships",
"Ability to lead breakthrough research"
],
"complementaryCompetencies": [
"Ability for scientific advisory boards",
"Ability for analytical spin-offs",
"Knowledge of research funding"
],
"indicators": [
"Defines corporate scientific strategy",
"Publishes in top-tier journals",
"Influences direction of the discipline"
]
},
"DS-L9": {
"level": "L9 - VP/Chief Data Scientist",
"levelNumber": 9,
"yearsRange": {
"min": 15,
"max": null
},
"coreCompetencies": [
"Executive leadership in data science",
"Ability to monetize analytics as asset",
"Expertise in enterprise analytical transformation",
"Mastery of strategic research budgets",
"Ability to build scientific organizations",
"Deep knowledge of IP and patents management",
"Expertise in global scientific partnerships",
"Ability to define analytical culture",
"Mastery of innovation through data science"
],
"complementaryCompetencies": [
"Ability to influence data policy",
"Ability to create research institutes",
"Knowledge of scientific investments"
],
"indicators": [
"Defines and executes enterprise scientific vision",
"Responsible for all corporate analytics",
"Recognized leader in global data science"
]
}
}
}