The Data Scientist will play a crucial role in analyzing complex datasets and developing machine learning, data mining, statistical, and graph-based algorithms. You will be responsible for prototyping algorithms, generating data, creating reports, and partnering with subject matter experts to automate analytics. This position offers the opportunity to work on challenging problems alongside an experienced team while gaining valuable consulting experience in analytics.

Company Culture and Environment

The company fosters a collaborative environment where analytics is central to decision-making. Team members enjoy a variety of projects across different sectors, reflecting a dynamic and engaging workplace. Building lasting relationships with clients is a priority, emphasizing trust and partnership.

Career Growth and Development Opportunities

Joining our team provides ample opportunities to enhance your analytic skills and advance your career in data science. You will gain exposure to a wide range of techniques and tools, benefiting from a culture of continuous learning and development.

Detailed Benefits and Perks

• Opportunities for professional growth and mentorship
• Collaborative work environment with skilled teammates
• Exposure to diverse projects in both commercial and government sectors

Compensation and Benefits

• Competitive salary based on experience
• Health, dental, and vision insurance
• Retirement savings plan
• Paid time off and holidays

Why you should apply for this position today

This is an exceptional opportunity to work within a leading Data Science consulting firm. If you are passionate about analytics and looking to tackle challenging problems that impact various industries, this role will allow you to make a significant contribution while enhancing your skills.

Skills

• Programming experience with data analysis software such as R, Python, SAS, or MATLAB
• Ability to develop experiments to collect or simulate data
• Experience in developing feature vectors for machine learning algorithms
• Proficiency in identifying appropriate algorithms and tuning parameters
• Strong evaluation skills using standard metrics (e.g., cross-validation, ROC curves)
• Leadership in guiding analytic development processes
• Collaboration with software engineers to develop production analytics
• Expertise in training machine learning systems based on statistical analysis

Responsibilities

• Develop machine learning, data mining, statistical, and graph-based algorithms
• Prototype algorithms and build models or experiments
• Generate reports and visualizations providing data-driven insights
• Partner with subject matter experts to automate analytics
• Implement prototypes within production frameworks

Qualifications

• Bachelors 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
• Active TS/SCI security clearance with full scope polygraph required

Education Requirements

• Bachelors degree in a quantitative discipline
• Masters degree or PhD preferred

Education Requirements Credential Category

• Quantitative discipline (e.g., statistics, mathematics, operations research, engineering, computer science)

Experience Requirements

• 7 years of experience with a Bachelors degree, 5 years with a Masters degree, or 2 years with a PhD

Why work in McLean, VA

McLean offers a prime location with access to a vibrant tech community, diverse career opportunities, and a rich cultural landscape. The area is known for its strong economy and proximity to Washington, D.C., providing a unique blend of professional and personal experiences.

Employment Type: Full-Time

Education Level: Bachelor's degree

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.