A little about us:

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.

What you bring to the table:

All of our data scientists need the following skills:     

• 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. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
• A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
• For entry-level data scientists, 0-3 years of experience on Data Science projects.
• For mid-level data scientists, 3-6 years of experience on Data Science projects.
• For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
• A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:     

• 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.

These are important skills to have, but not necessarily mandatory:     

• Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
• 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

The total package:

• 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. 
• Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
  • Entry-level:  $95,000 - $135,000
  • Mid-level: $110,000 - $155,000 
  • Senior-level:  $135,000 - $235,000

• Retire sooner than planned: Get closer to retirement with up to 12% in 401k contributions, no match required and immediate vesting. 
• 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.  Let's not forge free access to a fully equipped state of the art gym!
• Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
• Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
• Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!