Data Scientist at Mts Moose Tech Solutions L.l.c. Maryland

Downtown Boulder Partnership; Maryland; On-site; USD 166,500 - 203,500; Full time

Benefits offered by this job

401(k)

Employee Stock Option Plan (ESOP)

Paid time off

Parental leave

Job summary

Mts Moose Tech Solutions L.l.c. in Maryland is seeking a mid-senior Data Scientist to design and implement advanced analytics for defense and space applications, requiring TS/SCI with Full Scope Poly and US citizenship. The role is for a government subcontractor with security clearances.

You will develop ML models, run experiments, and generate data-driven insights for customers while collaborating with SMEs, software engineers, and cloud professionals to productionize analytics.

Qualifications

• Bachelor's degree in a quantitative discipline + 7 years of experience, Masters +5, or PhD +2.
• Proficiency with data analysis software (R, Python, SAS, or MATLAB).
• 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.

Responsibilities

• Develop ML, data mining, statistical, and graph-based algorithms.
• Prototype and select final models based on performance metrics.
• Generate reports and visualizations for data-driven insights.
• Collaborate with SMEs to translate manual data analysis into automated analytics.
• Implement prototype algorithms within production frameworks for integration into analyst workflows.

Skills

R

Python

SAS

MATLAB

Education

Bachelor's degree in quantitative discipline

Master's degree in related field

PhD in related field

Job description

Overview

Data Scientist job at Mts Moose Tech Solutions L.l.c.. Maryland. Experience level: Mid-senior. Experience required: 8 Years. Education level: Bachelors degree. Job function: Information Technology. Industry: Defense & Space. Total position: 1. Relocation assistance: No. Visa sponsorship eligibility: No. Clearance Required: TS/SCI with Full Scope Poly. This position is for a government subcontractor. This position requires US Citizenship. Max salary is $185k.

Responsibilities

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Qualifications

Required Degree and Experience:

Bachelor\'s degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience

Required Skills:

• Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
• 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.

Salary & Benefits

Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Our organization values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.