Job Description

The Data Scientist will play a crucial role in providing analytic solutions for clients across both Commercial and Government sectors. As part of our esteemed Data Science consulting firm, you will enjoy a diverse range of projects and exposure to multiple techniques and tools. Our team is dedicated to building lasting relationships with clients, serving as trusted advisors and preferred analytics providers. You will have the opportunity to enhance your analytic skills while addressing complex problems alongside talented teammates, gaining valuable experience in analytics consulting.

Company Culture and Environment

Our firm promotes a collaborative and innovative culture where each team member is valued. We encourage creativity and support professional growth through knowledge sharing and teamwork. Diverse projects and a focus on client relationships foster a dynamic work environment.

Career Growth and Development Opportunities

Joining our team presents great opportunities for skill enhancement and career advancement. You will have the chance to work on various challenging projects, allowing you to broaden your expertise in analytics and consulting.

Detailed Benefits and Perks

While specific benefits are not listed, our company is committed to offering competitive compensation and supportive work environments that foster professional development.

Compensation and Benefits

• Competitive salary based on experience
• Health and wellness programs
• Opportunities for professional development and continuous learning

Why you should apply for this position today

This position offers a unique opportunity to work with an experienced team on impactful projects. You will be at the forefront of innovative solutions that drive insights for clients, ultimately contributing to their success.

Skills

• Programming experience with data analysis software such as R, Python, SAS, or MATLAB
• Experience in developing experiments to collect data or simulate data when required
• Ability to develop feature vectors for input into machine learning algorithms
• Expertise in identifying and tuning appropriate algorithms for various datasets
• Knowledge in evaluating and validating analytics performance using standard metrics (e.g., cross validation, ROC curves, confusion matrices)
• Experience overseeing analytic development efforts and guiding teams
• Skills in partnering with software engineers and cloud developers for production analytics
• Capability to develop and train machine learning systems based on statistical data analysis

Responsibilities

• Develop machine learning, data mining, statistical, and graph-based algorithms to analyze datasets
• Prototype and select algorithms based on performance metrics
• Build models or experiments to generate data when training datasets are unavailable
• Generate insightful reports and visualizations for clients
• Collaborate with subject matter experts to automate manual analytics
• Implement prototype algorithms within production frameworks for analyst workflows

Qualifications

• Bachelors degree in a quantitative discipline + 7 years of experience, Masters degree + 5 years of experience, or PhD + 2 years of experience
• Active TS/SCI security clearance with full scope Polygraph required

Education Requirements

• Bachelors degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)

Education Requirements Credential Category

• Bachelors Degree

Experience Requirements

• 7+ years of relevant experience in data science with a Bachelors degree
• 5+ years with a Masters degree or 2+ years with a PhD

Why work in Fort Meade, MD

Fort Meade, MD, offers a unique blend of military presence and community resources, providing a vibrant atmosphere for professional and personal growth. With a focus on innovation and security, the area is home to numerous technology firms and government agencies, creating excellent networking opportunities. The region also boasts a rich history, diverse culture, and proximity to major cities, offering a well-rounded lifestyle.

Required Knowledge, Skills, and Abilities: (Hiring Companies ATS Questions):

1. Do you have a Bachelor 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

2. Do you have a Active TS/SCI security clearance with the full scope Polygraph required

3. Do you have programming experience with data analysis software such as R, Python, SAS, or MATLAB.

4. Do you have developed experiments to collect data or models to simulate data when required data are unavailable.

5. Do you have developed feature vectors for input into machine learning algorithms.

6. Do you have Identified the most appropriate algorithm for a given dataset and tune input and model parameters.

7. Do you have evaluated and validated the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).

8. Have you overseen the development of individual analytic efforts and guide team in analytic development process.

9. Must be a US Citizen or Green Card holder.

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