The Red Alpha Data Science practice grew out of Red Alphas 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.
Culturally it probably suffices to say that we take our work seriously but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the 20% of our time complaining about cleaning the data. Joking aside our voices matter and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science & Engineering defining it loosely as the intersection of technical expertise business acumen and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention were pragmatic We have a diverse set of skills across our team and whether you are a Data Engineer a traditional Data Scientist (whatever that means) an Applied Research Mathematician a Database Engineer a Full Stack Developer or something else in that neighborhood if you have a knack for picking apart data to make sense of it we would enjoy having a conversation with you.
A day in the life:
Were looking to expand our Data Engineering team in Northern Virginia to modernize our customers data environment to optimize user access to mission-essential and impactful data.
Heres what were looking for - does it sounds like you
A senior engineer interested in enabling the widespread use of open source intelligence data for end users and data scientists across the intelligence community.
Youd join the effort to expand our Data Lake offering built on top of AWS S3 DynamoDB and Kubernetes into a community-wide data hub.
The goal is modernization of the unclassified OSINT data layer with new access patterns and services that enable AI/ML enrichments ETL pipelines and data discovery and dissemination.
Front-line building out the next-generation scalable data architecture using your knowledge of the AWS ecosystem.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
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.
For this particular role you will also need:
Active TS/SCI with Polygraph clearance
Bachelors degree in Computer Science Computer Engineering Electrical Engineering or related field with equivalent experience.
4 years of recent Java and Spring Framework experience including strong testing
1 year of recent experience with AWS
1 year of recent experience with Elasticsearch
A team player and self starter capable of high performance and flexibility in a dynamic working environment.
These are important skills to have but not necessarily mandatory:
Experience operating Data Lakes or Data Platforms (eg: Databricks) with knowledge on how to optimize storage technology for client access patterns and how to propagate CRUD operations throughout a distributed stack (including versioning nuances).
Hands on experience with the AWS S3 DynamoDB EKS DocumentDB Lambda Timestream CloudWatch EC2 ECS.
Experience building monitoring and alerting mechanisms for data pipelines. (e.g. Prometheus Grafana Splunk).
Experience with Infrastructure as Code tools (e.g. Terraform CloudFormation AWS CDK Ansible).
The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers missions; allow members to share in Red Alphas success as wecontinue 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 themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health life/disability 401k paid time offprofessional development and generous bonus programs. Please visit ourbenefitstab 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 experienceactual level of expertise and the responsibilities of the role itself.
Based on the outlined roles responsibilities and requirements the projected pay range for this position is: $175000 - $235000.
Some of our additional perks and benefits include:
Retire soonerthan 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 well pay 100% of your premiums for comprehensive health dental and vision insurance. Well also pay the majority of the premiums for your family. Lets 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!
Every day our elite customers are pushing through the grind to defeat the enemy even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence to match their dedication to this nation. Join us as webring digital transformation to the fight!
Required Experience:
IC
DescriptionA little about us:The Red Alpha Data Science practice grew out of Red Alphas 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 burgeoni...
Description
A little about us:
The Red Alpha Data Science practice grew out of Red Alphas 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.
Culturally it probably suffices to say that we take our work seriously but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the 20% of our time complaining about cleaning the data. Joking aside our voices matter and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science & Engineering defining it loosely as the intersection of technical expertise business acumen and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention were pragmatic We have a diverse set of skills across our team and whether you are a Data Engineer a traditional Data Scientist (whatever that means) an Applied Research Mathematician a Database Engineer a Full Stack Developer or something else in that neighborhood if you have a knack for picking apart data to make sense of it we would enjoy having a conversation with you.
A day in the life:
Were looking to expand our Data Engineering team in Northern Virginia to modernize our customers data environment to optimize user access to mission-essential and impactful data.
Heres what were looking for - does it sounds like you
A senior engineer interested in enabling the widespread use of open source intelligence data for end users and data scientists across the intelligence community.
Youd join the effort to expand our Data Lake offering built on top of AWS S3 DynamoDB and Kubernetes into a community-wide data hub.
The goal is modernization of the unclassified OSINT data layer with new access patterns and services that enable AI/ML enrichments ETL pipelines and data discovery and dissemination.
Front-line building out the next-generation scalable data architecture using your knowledge of the AWS ecosystem.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
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.
For this particular role you will also need:
Active TS/SCI with Polygraph clearance
Bachelors degree in Computer Science Computer Engineering Electrical Engineering or related field with equivalent experience.
4 years of recent Java and Spring Framework experience including strong testing
1 year of recent experience with AWS
1 year of recent experience with Elasticsearch
A team player and self starter capable of high performance and flexibility in a dynamic working environment.
These are important skills to have but not necessarily mandatory:
Experience operating Data Lakes or Data Platforms (eg: Databricks) with knowledge on how to optimize storage technology for client access patterns and how to propagate CRUD operations throughout a distributed stack (including versioning nuances).
Hands on experience with the AWS S3 DynamoDB EKS DocumentDB Lambda Timestream CloudWatch EC2 ECS.
Experience building monitoring and alerting mechanisms for data pipelines. (e.g. Prometheus Grafana Splunk).
Experience with Infrastructure as Code tools (e.g. Terraform CloudFormation AWS CDK Ansible).
The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers missions; allow members to share in Red Alphas success as wecontinue 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 themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health life/disability 401k paid time offprofessional development and generous bonus programs. Please visit ourbenefitstab 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 experienceactual level of expertise and the responsibilities of the role itself.
Based on the outlined roles responsibilities and requirements the projected pay range for this position is: $175000 - $235000.
Some of our additional perks and benefits include:
Retire soonerthan 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 well pay 100% of your premiums for comprehensive health dental and vision insurance. Well also pay the majority of the premiums for your family. Lets 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!
Every day our elite customers are pushing through the grind to defeat the enemy even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence to match their dedication to this nation. Join us as webring digital transformation to the fight!
Red Alpha is a U.S. based Software Technology and Consulting firm serving both the Defense and Commercial sectors specializing in software development, prototyping and innovation.