Development vector career path for 📈Data Science Developer

Junior 📈Data Science Developer

Skills needed for Junior 📈Data Science Developer

• Knows Demonstrate knowledge of inferential statistics
• Knows Demonstrate ability to manipulate, transform, and clean data
• Knows Demonstrate use of methodologies in the execution of the analytics cycle
• Learns Feedback
• Learns Foreign language skills
• Learns Verbal communication
• Knows Demonstrate understanding of model validation and selection techniques
• Knows Understand sampling, probability theory, and probability distributions
• Knows Demonstrate through a project the ability to analyze a dataset and communicate insights
• Knows Demonstrate knowledge of Python programming skills
• Knows Demonstrate knowledge of descriptive statistical concepts
• Knows Implement descriptive and inferential statistics using Python
• Knows Demonstrate ability to identify and collect data – multiple formats
• Learns Demonstrate through a project the ability to deploy and use a deployed model
• Knows Self-management
• Knows Self-Reliance
• Knows Scope
• Knows Demonstrate ability to characterize a business problem
• Learns Speaking at conferences and publications
• Learns Presentations
• Knows Demonstrate understanding of different modeling techniques
• Knows Communicate results translating insight into business value
• Knows Demonstrate through a project the ability to test different models on a dataset, validate and select the best model, and communicate results
• Knows Demonstrate ability to visualize data and extract insights
• Knows Demonstrate expertise with techniques to deal with missing values, outliers, unbalanced data, as well as data normalization
• Learns Deploy and monitor a validated model in an operational environment
• Knows Demonstrate through a project expertise with big data platforms (Hadoop, Spark)
• Knows Understand with the big data ecosystem and its major components
• Knows Demonstrate through a project the ability to plan for the execution of a project
• Knows Demonstrate understanding of what is data science and what data scientists do
• Learns Team work
• Learns Argumentation
• Knows Demonstrate understanding of Linear Algebra principles for machine learning
• Knows Demonstrate through a project the ability to construct usable data sets
• Knows Self-development
• Knows Decision-making in uncertain environment
• Knows Managing expectations
• Knows Understand the concept of big data, and how big data is used at organizations
• Knows Demonstrate ability to formulate a business problem as a hypothesis question
• Learns Written communication
• Learns Conflict resolution
• Learns Networking and building relationships
• Learns Knowledge sharing

Middle 📈Data Science Developer

Skills needed for Middle 📈Data Science Developer

• Does Managing expectations
• Learns Foreign language skills
• Learns Conflict resolution
• Helps Demonstrate through a project the ability to construct usable data sets
• Helps Demonstrate ability to manipulate, transform, and clean data
• Helps Demonstrate knowledge of inferential statistics
• Helps Demonstrate knowledge of descriptive statistical concepts
• Helps Demonstrate through a project the ability to plan for the execution of a project
• Helps Demonstrate understanding of what is data science and what data scientists do
• Helps Demonstrate understanding of different modeling techniques
• Helps Demonstrate understanding of Linear Algebra principles for machine learning
• Helps Demonstrate through a project the ability to test different models on a dataset, validate and select the best model, and communicate results
• Does Self-Reliance
• Does Self-development
• Does Decision-making in uncertain environment
• Learns Speaking at conferences and publications
• Learns Team work
• Learns Verbal communication
• Helps Demonstrate understanding of model validation and selection techniques
• Helps Communicate results translating insight into business value
• Does Demonstrate through a project the ability to deploy and use a deployed model
• Learns Presentations
• Learns Argumentation
• Learns Knowledge sharing
• Does Demonstrate through a project expertise with big data platforms (Hadoop, Spark)
• Does Understand the concept of big data, and how big data is used at organizations
• Does Understand with the big data ecosystem and its major components
• Helps Demonstrate through a project the ability to analyze a dataset and communicate insights
• Helps Demonstrate ability to characterize a business problem
• Helps Demonstrate use of methodologies in the execution of the analytics cycle
• Does Deploy and monitor a validated model in an operational environment
• Does Self-management
• Does Scope
• Learns Feedback
• Learns Written communication
• Learns Networking and building relationships
• Helps Demonstrate ability to identify and collect data – multiple formats
• Helps Demonstrate expertise with techniques to deal with missing values, outliers, unbalanced data, as well as data normalization
• Helps Understand sampling, probability theory, and probability distributions
• Helps Demonstrate knowledge of Python programming skills
• Helps Implement descriptive and inferential statistics using Python
• Helps Demonstrate ability to visualize data and extract insights
• Helps Demonstrate ability to formulate a business problem as a hypothesis question

Senior 📈Data Science Developer

Skills needed for Senior 📈Data Science Developer

• Teaches Demonstrate through a project the ability to analyze a dataset and communicate insights
• Teaches Demonstrate ability to visualize data and extract insights
• Knows Personal Development Plan
• Knows Organise team work
• Knows Hiring
• Does Self-development
• Teaches Understand the concept of big data, and how big data is used at organizations
• Does Presentations
• Does Knowledge sharing
• Teaches Demonstrate ability to manipulate, transform, and clean data
• Teaches Demonstrate through a project the ability to plan for the execution of a project
• Teaches Demonstrate knowledge of Python programming skills
• Knows Planning work
• Does Self-management
• Does Decision-making in uncertain environment
• Does Scope
• Does Managing expectations
• Teaches Demonstrate through a project expertise with big data platforms (Hadoop, Spark)
• Does Written communication
• Does Team work
• Does Foreign language skills
• Does Networking and building relationships
• Does Argumentation
• Teaches Demonstrate through a project the ability to construct usable data sets
• Teaches Demonstrate ability to characterize a business problem
• Teaches Demonstrate ability to formulate a business problem as a hypothesis question
• Teaches Demonstrate use of methodologies in the execution of the analytics cycle
• Teaches Demonstrate understanding of different modeling techniques
• Teaches Demonstrate understanding of model validation and selection techniques
• Teaches Demonstrate understanding of Linear Algebra principles for machine learning
• Teaches Communicate results translating insight into business value
• Teaches Demonstrate through a project the ability to test different models on a dataset, validate and select the best model, and communicate results
• Teaches Demonstrate knowledge of descriptive statistical concepts
• Knows Skill Review
• Teaches Understand with the big data ecosystem and its major components
• Teaches Demonstrate through a project the ability to deploy and use a deployed model
• Teaches Deploy and monitor a validated model in an operational environment
• Does Feedback
• Does Verbal communication
• Teaches Demonstrate understanding of what is data science and what data scientists do
• Teaches Understand sampling, probability theory, and probability distributions
• Teaches Demonstrate knowledge of inferential statistics
• Teaches Implement descriptive and inferential statistics using Python
• Knows Motivation
• Knows Mentroring
• Does Self-Reliance
• Does Speaking at conferences and publications
• Does Conflict resolution
• Teaches Demonstrate ability to identify and collect data – multiple formats
• Teaches Demonstrate expertise with techniques to deal with missing values, outliers, unbalanced data, as well as data normalization

Tech Lead 📈Data Science Developer

Skills needed for Tech Lead 📈Data Science Developer

• Helps Demonstrate through a project expertise with big data platforms (Hadoop, Spark)
• Helps Understand with the big data ecosystem and its major components
• Helps Understand the concept of big data, and how big data is used at organizations
• Teaches Feedback
• Teaches Team work
• Teaches Foreign language skills
• Teaches Conflict resolution
• Teaches Networking and building relationships
• Teaches Self-development
• Teaches Decision-making in uncertain environment
• Teaches Scope
• Helps Demonstrate ability to formulate a business problem as a hypothesis question
• Helps Demonstrate use of methodologies in the execution of the analytics cycle
• Helps Demonstrate understanding of what is data science and what data scientists do
• Helps Demonstrate through a project the ability to analyze a dataset and communicate insights
• Teaches Personal Development Plan
• Teaches Written communication
• Teaches Argumentation
• Helps Demonstrate understanding of Linear Algebra principles for machine learning
• Helps Demonstrate through a project the ability to plan for the execution of a project
• Helps Demonstrate ability to visualize data and extract insights
• Teaches Hiring
• Helps Demonstrate through a project the ability to construct usable data sets
• Helps Demonstrate understanding of model validation and selection techniques
• Helps Demonstrate through a project the ability to test different models on a dataset, validate and select the best model, and communicate results
• Teaches Self-Reliance
• Helps Demonstrate ability to characterize a business problem
• Helps Understand sampling, probability theory, and probability distributions
• Helps Demonstrate knowledge of inferential statistics
• Helps Demonstrate knowledge of Python programming skills
• Helps Demonstrate knowledge of descriptive statistical concepts
• Teaches Skill Review
• Teaches Organise team work
• Teaches Planning work
• Helps Demonstrate through a project the ability to deploy and use a deployed model
• Helps Deploy and monitor a validated model in an operational environment
• Teaches Speaking at conferences and publications
• Teaches Presentations
• Teaches Verbal communication
• Teaches Knowledge sharing
• Helps Demonstrate understanding of different modeling techniques
• Helps Communicate results translating insight into business value
• Teaches Self-management
• Teaches Managing expectations
• Helps Implement descriptive and inferential statistics using Python
• Teaches Motivation
• Teaches Mentroring
• Helps Demonstrate ability to identify and collect data – multiple formats
• Helps Demonstrate expertise with techniques to deal with missing values, outliers, unbalanced data, as well as data normalization
• Helps Demonstrate ability to manipulate, transform, and clean data