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Database/Data Scientist

Goldbelt, Inc.
vision insurance, paid time off, 401(k)
Sep 25, 2024
Overview

Goldbelt Frontier is committed to providing support for a range of health technology management operations, projects, and services across the government and commercial industries. Frontier collaborates with clients and partners with other businesses to ensure that the right solution with the right people is delivered to meet the client's needs. Many senior project managers and business analysts are subject matter experts in their respective fields. Frontier understands how to support multiple stakeholders to aid in developing and implementing national policies, strategies, and doctrine.

Summary:

We are seeking a highly experienced and detail-oriented Data Scientist to provide exceptional data analytics to our executive team. The ideal candidate will possess outstanding organizational skills, a proactive mindset, and the ability to manage multiple tasks efficiently.


Responsibilities

Essential Job Functions:

  • Designs and executes quantitative and qualitative studies to 1) improve performance of the medical organic industrial base, wholesale supply operations, and internal answer operational questions.
  • Gleans new insights from "big data," applying data cleansing, machine learning, and cognitive automation as needed
  • Designs, develops and implements models for industrial base operations in support of large-scale combat operations and humanitarian response
  • Supports other USAMMA Directorates by designing and executing studies on operational effectiveness.
  • Formulates and guides team effort and/or tasks, coordinates and incorporates the work of PM analysts and supporting organizations.
  • Provides modeling support to PSMIPT medical device lifecycle cost estimates; recommends acceptance or changes to the relevant PSID Director
  • Supports continuous process improvement efforts by providing modeling expertise to complement other Directorates' functional expertise

Qualifications

Necessary Skills and Knowledge:

  • Relevant experience as lead developer of analytic scripts and workflows, and comfortable proposing, implementing, and adhering to data management best practices (e.g., GitHub for code versioning)
  • Excellent understanding and prior experience with relational datasets, normalizations, and data modeling (i.e., should be able to identify, correct, and manage data inconsistencies by use of data modeling best practices)
  • Ability to apply quantitative regression analysis: controlling for multicollinearity, properly defining the study question, identifying proxy variables, validating data, interpreting regression results, etc.
  • Ability to apply qualitative case study analysis: selection of comparison cases, identification of possible bias, etc.

Minimum Qualifications:

  • Master's Degree in Systems Engineering, Analytics, Operations Research, Industrial Engineering, Economics (econometrics heavy), Mathematics, or related field
  • Minimum 12 years' experience as a data scientist
  • Experience with applications: Python, SAP, Army Vantage (Palantir).
  • Working knowledge of Python and relevant data wrangling packages (e.g., dplyr, data.table, pandas, etc.)
  • Ability to obtain and hold a Secret clearance

Preferred Qualifications:

  • Travel may be sporadic (10%) for offsite assessment and key engagements with higher headquarters
  • Experience as a data scientist in medical or aviation manufacturing or industrial base preferred
  • Example transferrable Commercial experiences include data scientist, manufacturing data analyst, supply chain data analyst, etc.

The salary range for this position is $116,250.00- $155,000.00 annually.

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

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