Senior Data Scientist (TS/SCI with Poly Required)

A day in the life

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. In this role, you will work directly with intel analysts on a mission-critical cyber operations contract to develop prototypes and novel solutions necessary to drive actionable insights from very large data sets. Successful candidates will have the following skills:

• Data science and machine learning skills that deal with human behavior
• Exploratory data analysis - examining data sets to find patterns and relationships
• Basic knowledge of statistics
• Basic knowledge of machine learning techniques for classificaiton and clustering
• Comfortability working with very very large data sets (think billions of records)
• Comfortability giving periodic presentations

Requirements

• Proficiency with a scripting language such as R or Python
• Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others
• A B.S. Degree in Data Science, Mathematics, Computer Science or related field OR an A.A. Degree with 2 additional years of experience
• At least 10+ years of experience on Data Science projects with at least 3 years of experience managing teams
• Large dataset experience
• Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic)
• Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software
• Experience with the following technologies:
• Apache Spark (Pyspark is heavily preferred)
• Jupyter Notebooks
• Microsoft Office
• Basic Linux command line familiarity
• Pandas Data Science Python Package

Qualifications

• Exceptional interpersonal skills
• Experience or exposure to Natural Language Processing (NLP)
• Experience with Java, C, or other compiled languages
• Comprehensive knowledge of Saturday Night Live sketches (just kidding)
• Experience with SQL/NoSQL, Spark, Hadoop
• Familiarity with Javascript and Scripting
• Familiarity with Docker, GitLab, and React

Benefits

• Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
• Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
• Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.
• Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!

Pay

The total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.

Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.

Please visit our benefits tab for additional information.

Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.