Data Scientist

Advent Services • Full-time • Remote (Dayton, Ohio, United States) • $69.36k - $113.26k / year • 3m ago

**Recruiters please do NOT reach out to Advent Services LLC to try to provide recruiting services. **

A leader in supporting clients in technically demanding industries, Advent's capabilities and services promote innovation & empower our partners to manage risk, protect information and achieve organizational objectives. We are proud of our ability to support mission critical systems in every phase of their lifecycle to ensure our nation’s forces can accomplish their mission.

Position: Data Scientist

Location: Remote

Work Hours: Work schedule is normally M-F 0730-1630; however, there may be times when it is necessary for the contractor to work after duty hours in support of specific tasks. Although schedule may have to be flexible, it will not exceed 40 hours per week.

Period of Performance:

Base Year: 09/30/2025 - 09/29/2026
Option Period 1: 09/30/2026 - 05/31/2027

MANDATORYQUALIFICATIONS

The contractor employee shall possess a minimum of a Bachelor’s degree in an applied quantitative field and have a minimum of three (3) years’ experience deploying predictive analytics. Preferred education concentration may include: Computer Science, Actuarial Science, Operations Research, Applied Mathematics, and Economics.
The contractor employee shall demonstrate experience with Python and object oriented
The contractor employee shall demonstrate experience with standard data manipulation tools within Python, Numpy, Pandas ect.
The contractor employee shall demonstrate experience with standard plotting in Python,
The contractor employee shall demonstrate experience with Sci-Kit Lean and Pythons open source machine learning software.
The contractor employee shall have a signed Non-Disclosure Agreement (NDA) in place with their company based on the potential access to confidential, proprietary, and/or sensitive The NDA shall be provided to the Government Program Manager by start of performance.

HIGHLY DESIRED QUALIFICATIONS

Experience working with software engineers to develop novel dashboards to enable interaction with AI technologies.
Experience developing with pre trained language models
Experience with Dimensionality reduction techniques
Experience with Tensorflow, Pytorch or other GPU enabled deep learning
Experience working with USAFSAM
Prior study and familiarity of human biology
Prior study and familiarity of human performance

TASKS

The contractor employee shall be tasked with developing, deploying and tuning novel unsupervised tree based clustering machine learning models.
The contractor employee shall be able to accurately describe how several classes of algorithms work. Candidate must be able to accurately explain exactly how a decision tree works, and be able to code it from scratch.
The contractor employee shall be able to accurately explain the difference between density based and binning based clustering.
The contractor employee shall be able to accurately explain how the k nearest neighbors algorithm works. Candidate must be able to implement the k nearest neighbors algorithm, from scratch, in code. If the candidate can implement the naive version of the nearest neighbors, but not an optimized version, they must be able to accurately describe an optimized version of k nearest neighbors.
The contractor employee shall be able to write an optimized list sorting algorithm, from scratch, in less than an hour, with no external resources.
The contractor employee shall understand how to generate a distance matrix, candidate must be able to demonstrate that they are capable of minimizing the size of a distance matrix in code. Candidate must demonstrate writing vectorized code.
The contractor employee shall obtain HIPAA training upon performance of work.
The contractor employee shall maintain HIPPA standards and prevent data leaks

Advent is an Equal Opportunity Employer. Employment decisions are not based on race, color, religion, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by federal, state, or local laws.