Sample Job Description for Head of Data Science
Job Description Management
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Head of Data Science Job Overview
Head of Data Science Job Description Sample
Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals.
JOB LEVEL
M06
EDUCATION/DEGREE
Master's Degree or MBA
REPORTS TO
Top Management
Salary Range
BASE 50%
$283,100
TOTAL 50%
$349,120
Job Responsibilities for Head of Data Science
Provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Engages stakeholders and champions the design and development of data science initiatives. Researches and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Builds team capability with mentoring, coaching, and professional development. Possesses a deep and broad knowledge of data science, analytical concepts and methods, and business operations.
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View Job Description Templates of Similar Jobs
| Job Title | Job Description | |
|---|---|---|
| 1 | Data Governance Specialist | The Data Governance Specialist defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Coordinates an organization's quality, security, and maintenance of data. Being a Data Governance Specialist typically requires a bachelor's degree. Ensures sufficient data quality is maintained so that the data can effectively support the business process. In addition, Data Governance Specialist typically reports to a manager. Being a Data Governance Specialist contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. Working as a Data Governance Specialist typically requires 4 to 7 years of related experience. |
| 2 | Data Scientist/Analytics, Entry | The Data Scientist/Analytics, Entry interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Entry prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Entry may require an advanced degree. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience. Being a Data Scientist/Analytics, Entry work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Data Scientist/Analytics, Entry typically requires 0-2 years of related experience. |
| 3 | Data Scientist/Analytics, Expert Advisory | The Data Scientist/Analytics, Expert Advisory interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Expert Advisory prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Expert Advisory typically requires an advanced degree. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. Being a Data Scientist/Analytics, Expert Advisory works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Data Scientist/Analytics, Expert Advisory typically requires 10+ years of related experience. |
| 4 | Data and Information Architect I | The Data and Information Architect I develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect I may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect I typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect I works on projects/matters of limited complexity in a support role. Work is closely managed. Working as a Data and Information Architect I typically requires 0-2 years of related experience. |
| 5 | Data and Information Architect V | The Data and Information Architect V develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect V may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect V requires a bachelor's degree. Typically reports to a manager or head of a unit/department. Being a Data and Information Architect V works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Working as a Data and Information Architect V typically requires 10+ years of related experience. |
Head of Data Science Skills & Proficiency Level
| Skills | Proficiency Level |
|---|---|
| Business Acumen | Level 3 |
| Talent Management | Level 4 |
| Organizational Leadership | Level 4 |