Applied Data Science Associate - Federal

DataRobot•Washington, DC

57d•Hybrid

About The Position

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. DataRobot’s Applied Data Science Associate program (ADSA) is designed to provide qualified individuals with the training and experience necessary to become a Customer Facing Data Scientist in approximately 6 months. This intense program is for the self-motivated and intellectually curious excited to tackle our prospects and customers toughest problems using AI/ML and GenAI. The program will offer you opportunities to learn from the world’s foremost experts in AI and apply your new found knowledge in the frontier of AI. Past graduates of this program have delivered novel applications of AI in businesses across the world and lead some of our most strategic customer engagements. Many graduates of the program now have leadership positions within DataRobot. During the training program, participants will have structured learning paired with mentoring opportunities to work with customer success teams. Participants will be expected to contribute to customer success by assisting account teams and learning the best practices in selling to customers or keeping existing customers successful with the platform. The ADSA program is centered around the Data Scientist Competencies. These are the competencies that must be developed and mastered to become a successful Data Scientist. There are 4 core competencies: Data Science (including GenAI), Product Knowledge, Sales and Solution Delivery. This position is focused on supporting DataRobot’s US Federal customer base, especially military customers, in a wide variety of AI use cases. Upon program completion you will support DataRobot Federal customers as a Customer Facing Data Scientist contributing to end-to-end AI project implementation using the DataRobot platform. This will include data preparation, model building (predictive and generative), application development, and stakeholder engagement.

Requirements

Bachelor’s degree in a technical field - physical sciences, engineering, computer science, statistics, economics or business analytics
3+ years of building and implementing analytics solutions for stakeholders
You have excellent communication and strong customer interaction skills
Excellent project management and organizational abilities
Fluency with scripting in Python
Professional experience building data pipelines and/or performing data preparation tasks
Work location will be a hybrid of remote and on a customer site (greater Washington DC area)
You may be asked to travel for customer meetings or other events
Must be a US citizen.
Must have an active Secret or Top Secret/SCI clearance

Nice To Haves

Advanced degree
Experience with supporting US Federal government organizations, especially the DoD or IC
Experience with distributed/parallelized data computation
Experience with geospatial data manipulation and visualization
Exposure to AI/ML modeling techniques and framing data science projects for success
Familiarity with consultative sales process in the data/analytics marketplace
Familiarity with data platform technology integrations
Experience dealing with complex customer organizations
Proficiency in additional programming languages (e.g. Java, Scala, JavaScript)

Responsibilities

Successfully conduct a 6 month structured and independent training program in order to independently support customer engagements after completion
Provide DataRobot platform and data science support to clients through the duration of client engagement from presales through their times as a customer
Enable customers to solve complex data science problems using DataRobot, through both direct execution and education of customers – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities.
Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into mission outcomes
Work side by side with our sales, success and engineering teams to help our customers achieve their goals.
Identify opportunities to expand our relationship with customers.
Act internally as the voice of the customer to the Product, and Engineering, informing the direction of future product feature development
Assist in developing the implementation of a Joint Success Plan (JSP) delivering services to support customers in their AI journey.