Feb_epic Story H: Emily P brainstorm core competencies for Data Scientist Position

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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%**

• [ ] Identifies, adapts, and manages changes to data analysis tools in response to evolving user needs.
• [ ] The incumbent requires expertise in and management of end-to-end data processes in the data life cycle. Mastery experience with data science tools to execute duties is required; these duties including programming, statistics, machine learning, causal inference, and data visualization.
• [ ] Constructs data pipelines using complex tools and techniques to handle data at scale. Data Science Consultant and Advisor - 25%
• [ ] Ensures that data sources are fit for their intended purpose through assessment of potential bias in data ingestion and transmission mechanisms, current data quality, monitoring for incoming changes in data quality, and improvement of data quality.

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%

• [ ] Has experience with prediction and causal inference methods.
• [ ] Uses appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data such as probabilistic matching and imputation of missing values.
• [ ] Articulates findings through data visualization, reports, and operationalized constructs.
• [ ] Demonstrates expert level understanding of diverse data science techniques including data pooling, machine learning, natural language processing, deep learning, advanced visualizations and has the ability to demonstrate how ensembles of these techniques can be harmonized into user-centric solutions.

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%

• [ ] Provides technical advice serving as a SME in the development of new methods to automate reports, rapid analysis of pilot initiatives and applications and makes recommendations to management on the use of such technology as it relates to Agency data.
• [ ] Accesses, merges, cleans, standardizes, and develops derived metrics on multiple structured datasets; has familiarity with appropriate software and automation tools. Also serves as a resource to junior analysts and contractor staff, as directed by supervisor. Project Leadership Related to Data Analytics and Technical Liaison - 25%
• [ ] Designs, develops, and operates systems for ingesting, storing, and analyzing data at scale.
• [ ] Uses data parallelization techniques or streaming technologies to process data. Monitors data flows and stored datasets to make improvements to data collection and ingestion mechanisms.

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Competencies I pulled based on the requirements I highlighted in my comment above.

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1. • 676 - Health Informatics - Knowledge of health informatics, i.e. design, configuration and management of health information and clinical support systems; health data collection, storage, extraction, manipulation, reporting and communications.
2. • 657 - Health Information Exchange - Performs functions related to the electronic transmission of healthcare-related data among medical facilities, health information organizations and government agencies according to healthcare interoperability standards.
3. • 66- Database Management Systems - Knowledge of the uses of database management systems and software to control the organization, storage, retrieval, security, and integrity of data.
4. • 63 - Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes.
5. • 6006 - Health Information Technology Standards Development - Ability to understand the current technical Health Information Technology standards landscape, the desired future HIT technical standards landscape and a practical path between the two. Ability to collaboratively devise implementable technical solutions that are approved by consensus.
6. • 409 - Decision Support - Knowledge of decision support theories, methods, and tools for identifying, synthesizing, representing, and evaluating the important aspects of a decision situation and prescribing the recommended course for decision makers and other stakeholders.
7. • 497 - Systems Thinking - Performs analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems; considers the whole system and recognizes links between everything from the complex network of global to departmental priorities.
8. • 191 - Modeling and Simulation - Knowledge of the tools and techniques used to develop functional, physical, or prototype models and simulations for test and evaluation programs, the prediction of behavior and phenomena, and to visually communicate concepts.
9. • 190 - Modeling and Simulation - Knowledge of mathematical modeling and simulation tools and techniques to plan and conduct test and evaluation programs, characterize systems support decisions involving requirements, evaluate design alternatives, or support operational preparation.
10. • 244 - Reading - Understands and interprets written material, including technical material, rules, regulations, instructions, reports, charts, graphs, or tables; applies what is learned from written material to specific situations.
11. • 248 - Reasoning - Identifies rules, principles, or relationships that explain facts, data, or other information; analyzes information and makes correct inferences or draws accurate conclusions.
12. • 146 - Information Technology Research and Development - Knowledge of scientific principles, methods, and tools of basic and applied research used to conduct a systematic inquiry into a subject matter area.

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Discussed at hq_workflow 02/09/2023 @epearman @lzim @emilymetcalf114

Current DataOps Pain Points to consider with our GS-13 Data Scientist Position

• [ ] Priority SQL support for @dkngenda based on @epearman's limited bandwidth.
• [ ] Power BI -> VA/CDW experience is critical; Health Informatics, Computer Scientist
• [ ] @dkngenda Are there any upcoming R01 or IIR analyses that you think we should recruit expertise to address?

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By David N: Below are the main skills I can think of

Computational skills:

• Familiarity with R, particularly data manipulation with tidyverse and visualization with ggplot
• Advanced SQL skills

Statistics:

• Hierarchal Linear Modeling (or Growth curve modeling) given the nature of our study design,
• Basic understanding or interest in psychometric analyses

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This card is tracking February efforts for this task. April efforts on this task will be tracked in #2871