Closed ghost closed 1 year ago
Competencies I pulled based on the requirements I highlighted in my comment above.
Discussed at hq_workflow 02/09/2023 @epearman @lzim @emilymetcalf114
Current DataOps Pain Points to consider with our GS-13 Data Scientist Position
@lzim Below are the main skills I can think of
Computational skills:
Statistics:
@lzim
Data Science/Stats/Health Informatics skills identified by @epearman and @dkngenda:
After reviewing the GS13T14 Data Scientist PD and the DataOps PAVIR PD, here is what I would pull out for competencies for the Job Analysis 0938A form (we cannot call out specific skills, i.e., C++ for example, in the competency list). We want to keep the number of competencies to about 5 or so and link them to specific tasks in the PD:
You could word the Selective Placement Factor as: The incumbent will have experience with data science, statistics, and health informatics to support the operations and development activities for a national quality improvement project within a healthcare organization. This is necessary in order to provide advice and subject-matter expertise in tasks, projects, and assignments related to developing, coordinating, and improving database to data science workflows for healthcare quality improvement and health system operational partners.
@lzim
The highlighted is what I would pull out for competencies (see above). You want between 4-6 competencies at the most since then you pull out specific tasks and duties from the GS-13 PD and link them and each competency should, ideally, have 2-4 duties linked to it from the PD. There's only one AI item in the GS-13 to link, but based on SAFe 6.0, it might be something core we want pulled out for hiring. Data Scientist GS-1560-13T14 PD 99489T 99490T.pdf
I highlighted the competencies in the attached - but please review when you can since any changes can be resubmitted. Data Scientist GS-13_Competency Library Markup 2023.03.20.xlsx Data Scientist GS-1560-13T14 PD 99489T 99490T.pdf
I have tracked the February efforts related to this card in #2920. This card will be tracking April efforts
@hthrmarsh
@lzim - Removing from wk2 due to cross-covering #people_ops_workstream See question on wk2 2023_may_epic team_time document - tracked on #2952
When is this likely to actually be due?
@lzim - I don't know. Randy doesn't know either since this consult process is new with the HRMACS transition and everything has been pretty much delayed by four months and nobody knows when HRMACS staff will dig out. I followed up with him today:
I rescoped it on the maps.
team_time
@lzim @dkngenda @hthrmarsh
Align with - https://scaledagileframework.com/
Suppress the 17 AI competency within a broader core Data Science Science Competency
@lzim, you could list a competency and select SME as a drop down. HRMACS consultant, Jamie Moceri suggests that it's not usually done (few and far between), but could try. Can't say with any 100% certainty that the DEU won't have a problem with it.
Moved to June 27th.
Discussed Consultation Request: DEU Recruitment - ORD Station 640 VISN 21 with Jamie Moceri and Timothy Alonzo (6/27/23)
MAJOR DUTIES: Data Cleaning & Visualization
Tim sent post-consult email 6/30/23
Done and sent 👍🏽
Story K Health Equity: Need: Establishing new data pipelines and dashboards in alignment with PERC guidance and resources. *Need: Establishing new data pipelines and dashboards in alignment with PERC guidance and resources. Who else could help with this? Possibly James' new hire Data Science Lifecycle: 50%**
Story K and Story A: Need: Analysis of current and future grant aims who else could help with this? David N, does he have any weaknesses in the types of analysis he would want support on? Machine learning? Data Science Lifecycle: 50%
Story B Need: Bug squashing, automation (i.e. Publishing Power BI updates), and updating data pipelines (SQL) who else could help with this? Me, but I currently do not have a lot of time to spend on these and inflow is greater than outflow, I don't expect inflow to reduce in the futured Data Science Consultant and Advisor - 25%