Data Science Consultant
Job Description Scope/Tasks/Deliverables.
Scope Provide technical and management expertise to support development of a data sciences strategic plan for PDM, which includes review and assessment of business impact opportunities, data reservoirs, data storage architectures, data science approaches and methodologies, and data engineering & data pipeline infrastructure b.
Tasks i.
Data Sciences Review and Assessment 1.
Identify, organize, and prioritize data-driven business impact opportunities.
2.
Identify and organize existing data reservoirs and data storage architectures.
3.
Identify and organize existing data engineering and data pipeline infrastructure.
4.
Identify and organize data science approaches and methodologies to deliver business impact goals using existing data reservoirs.
5.
Identify, organize, and prioritize new data capture opportunities.
6.
Identify, organize, and prioritize new data engineering and data pipeline infrastructure required to operationalize data sciences approaches for delivering business impact goals.
ii.
Data Sciences Strategic Planning 1.
Support development and documentation of strategic and execution plans to (1) deliver data science results to stakeholders while (2) building data science/data engineering/data pipeline infrastructure and capability.
2.
Support development and documentation of hiring strategy and plan.
iii.
General Data Sciences Support 1.
Participate in exploration of new ideas for delivering business impact using data sciences approaches.
2.
Participate in exploration of review and assessment of data science and data engineering tools, applications, systems, and platforms.
3.
dditional review, assessment and planning arising from discoveries during the project.
c.
Deliverables o # Task Deliverables Estimated Delivery Date i.
1 Identify, organize, and prioritize data-driven business impact opportunities Scope includes:
Discussions with business decision makers Documentation of business impact opportunities (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
2 Identify and organize existing data reservoirs and data storage architectures Scope includes:
Discussions with LIS team and data managers Documentation of data reservoirs and architectures (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
3 Identify and organize existing data engineering and data pipeline infrastructure Scope includes:
Discussions with LIS team and data managers Documentation of existing data engineering and data pipeline infrastructure (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
4 Identify and organize data science approaches and methodologies to deliver business impact goals using existing data reservoirs Scope includes:
Discussions with LIS team Documentation of relevant data science approaches and methodologies (e.
g.
, spreadsheets, etc.
) Late-May to Early-June i.
5 Identify, organize, and prioritize new data capture opportunities Scope includes:
Discussions with LIS team Documentation of new data capture opportunities (e.
g.
, spreadsheets, etc.
) Ongoing (after May) i.
6 Identify, organize, and prioritize new data engineering and data pipeline infrastructure required to operationalize data sciences approaches for delivering business impact goals Scope includes:
Discussions with LIS team Documentation of future data science/engineering infrastructure requirements (e.
g.
, spreadsheets, etc.
) Ongoing (after May) ii.
1 Support development and documentation of strategic and execution plans to (1) deliver data science results to stakeholders while (2) building data science/data engineering/data pipeline infrastructure and capability Scope includes:
Discussions with LIS team Discussion notes (as needed) Late-June 2020 ii.
2 Support development and documentation of hiring strategy and plan Scope includes:
Discussions with LIS team Discussion notes (as needed) Q3 2020 iii.
1 Participate in exploration of new ideas for delivering business impact using data sciences approaches Scope includes:
Discussions with LIS team Research of discussed data science techniques Discussion/research notes (as needed) Ongoing iii.
2 Participate in exploration of review and assessment of data science and data engineering tools, applications, systems, and platforms Scope includes:
Discussions with LIS team Research of discussed tools and technologies Discussion/research notes (as needed) Ongoing iii.
3 dditional review, assessment and planning arising from discoveries during the project Scope includes:
Discussions with LIS team Research and documentation of findings Discussion/research notes (as needed) Ongoi Recommended Skills Data Collection Data Pipeline Data Science Infrastructure Management Spreadsheets Stakeholder Management Estimated Salary: $20 to $28 per hour based on qualifications.
Scope Provide technical and management expertise to support development of a data sciences strategic plan for PDM, which includes review and assessment of business impact opportunities, data reservoirs, data storage architectures, data science approaches and methodologies, and data engineering & data pipeline infrastructure b.
Tasks i.
Data Sciences Review and Assessment 1.
Identify, organize, and prioritize data-driven business impact opportunities.
2.
Identify and organize existing data reservoirs and data storage architectures.
3.
Identify and organize existing data engineering and data pipeline infrastructure.
4.
Identify and organize data science approaches and methodologies to deliver business impact goals using existing data reservoirs.
5.
Identify, organize, and prioritize new data capture opportunities.
6.
Identify, organize, and prioritize new data engineering and data pipeline infrastructure required to operationalize data sciences approaches for delivering business impact goals.
ii.
Data Sciences Strategic Planning 1.
Support development and documentation of strategic and execution plans to (1) deliver data science results to stakeholders while (2) building data science/data engineering/data pipeline infrastructure and capability.
2.
Support development and documentation of hiring strategy and plan.
iii.
General Data Sciences Support 1.
Participate in exploration of new ideas for delivering business impact using data sciences approaches.
2.
Participate in exploration of review and assessment of data science and data engineering tools, applications, systems, and platforms.
3.
dditional review, assessment and planning arising from discoveries during the project.
c.
Deliverables o # Task Deliverables Estimated Delivery Date i.
1 Identify, organize, and prioritize data-driven business impact opportunities Scope includes:
Discussions with business decision makers Documentation of business impact opportunities (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
2 Identify and organize existing data reservoirs and data storage architectures Scope includes:
Discussions with LIS team and data managers Documentation of data reservoirs and architectures (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
3 Identify and organize existing data engineering and data pipeline infrastructure Scope includes:
Discussions with LIS team and data managers Documentation of existing data engineering and data pipeline infrastructure (e.
g.
, spreadsheets, etc.
) Mid-May to Late-May 2020 i.
4 Identify and organize data science approaches and methodologies to deliver business impact goals using existing data reservoirs Scope includes:
Discussions with LIS team Documentation of relevant data science approaches and methodologies (e.
g.
, spreadsheets, etc.
) Late-May to Early-June i.
5 Identify, organize, and prioritize new data capture opportunities Scope includes:
Discussions with LIS team Documentation of new data capture opportunities (e.
g.
, spreadsheets, etc.
) Ongoing (after May) i.
6 Identify, organize, and prioritize new data engineering and data pipeline infrastructure required to operationalize data sciences approaches for delivering business impact goals Scope includes:
Discussions with LIS team Documentation of future data science/engineering infrastructure requirements (e.
g.
, spreadsheets, etc.
) Ongoing (after May) ii.
1 Support development and documentation of strategic and execution plans to (1) deliver data science results to stakeholders while (2) building data science/data engineering/data pipeline infrastructure and capability Scope includes:
Discussions with LIS team Discussion notes (as needed) Late-June 2020 ii.
2 Support development and documentation of hiring strategy and plan Scope includes:
Discussions with LIS team Discussion notes (as needed) Q3 2020 iii.
1 Participate in exploration of new ideas for delivering business impact using data sciences approaches Scope includes:
Discussions with LIS team Research of discussed data science techniques Discussion/research notes (as needed) Ongoing iii.
2 Participate in exploration of review and assessment of data science and data engineering tools, applications, systems, and platforms Scope includes:
Discussions with LIS team Research of discussed tools and technologies Discussion/research notes (as needed) Ongoing iii.
3 dditional review, assessment and planning arising from discoveries during the project Scope includes:
Discussions with LIS team Research and documentation of findings Discussion/research notes (as needed) Ongoi Recommended Skills Data Collection Data Pipeline Data Science Infrastructure Management Spreadsheets Stakeholder Management Estimated Salary: $20 to $28 per hour based on qualifications.
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