Data Scientist

Job Description

CLEARANCE REQUIRED: TS/SCI w/ Polygraph

Other Requirements: U.S. Citizenship

We are sourcing a Data Scientist to join the team and spearhead this effort. The Data Scientist will be responsible for:

Characterizing and understanding the entity data

Determining if data standardization or normalization is required

Evaluating various AI/ML approaches to performing entity resolution

Determining the appropriate tools and models to leverage

Designing and prototyping the end-to-end solution

Evaluating the prototype output and performance

Help with the eventual productization of the entity resolution solution

The ideal candidate will have experience with:
Developing software using Java, Python, GoLang or similar languages

Working with and evaluating large data sets

Developing data ingest and processing pipelines

Working with and evaluating embedder/encoder models

Developing feature vectors and working with vector databases such as Qdrant

Working with software development teamsBachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.

A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.

Produce data visualizations that provide insight into dataset structure and meaning

Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)

Incorporate SME input into feature vectors suitable for analytic development and testing

Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes

Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics

Develop statistical tests to make data-driven recommendations and decisions

Develop experiments to collect data or models to simulate data when required data are unavailable

Develop feature vectors for input into machine learning algorithms

Identify the most appropriate algorithm for a given dataset and tune input and model parameters

Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)

Oversee the development of individual analytic efforts and guide team in analytic development process

Guide analytic development toward solutions that can scale to large datasets

Partner with software engineers and cloud developers to develop production analytics

Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation

Lead a team of data scientists in the development of multiple analytic efforts

Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements

Guide the transition of prototyped analytics to production system

Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions

Delegate analysis responsibilities to one or more team members and monitor performance

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About Evlos Technology

Serving our customers, partners, and Solvers, by Advocating for professional and personal improvement and growth, to Solve the most complex problems through evolving technology and ideas.

Evlos Technology was established on the belief that nurturing people and their careers transforms lives and enhances customer satisfaction. Our Solvers are the heartbeat of our company, and their well-being and growth are our top priority. That’s why we cultivate an opportunity-rich culture where our team can excel and reach their full potential. Through our passion to serve the mission, we can achieve great things together.

Our culture is not just shaped by our values, it’s defined by them.

Evlos Technology is looking for problem solvers and “opportunity capitalizers”. These individuals are able to understand how to use their background to solve customer problems and innovate in a manner that brings new opportunities to light.

Why Evlos?

Competitive Pay- We maximize your income potential by passing through as much earned revenue as possible, giving you more control of your hard-earned money.

Health Insurance- Our unique take on healthcare benefits gives you full control of your coverage. Evlos pays 100% for employee-only medical plans + offers voluntary employee paid dental and vision. You’re also enrolled in STD, LTD, AD&D and life insurance at no cost to you.

401k- Regardless of your own contributions, Evlos contributes up to 10% of your income into your retirement account.

Paid Time Off- We believe in a healthy work-life balance. Our standard accrual for each hour you work earns approximately 6 weeks of PTO per year with 40 hours fronted on date of hire. We offer additional leave for maternity leave, paternity leave, military leave, jury duty and bereavement leave.

Company Profit Sharing- Our success is directly tied to your hard work, so we spread the wealth with YOU. Tenure-based profit sharing is paid out annually.

Professional Development- Employees can be reimbursed up to $5,250 per year for pro dev expenses. This includes 40 hours of study time every year.

Well Tech Benefit- Employees can submit for reimbursement towards wellness and tech related expenses.

Referral Bonus- Our unique Referral Bonus Program is the gift that keeps giving! In addition to a referral bonus, you will continue to receive a bonus on each hired referral twice a year for the duration of their tenure with us!

Evlos provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.