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Applied Data Science Associate - Federal

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
District of Columbia (USA), United States

Offer summary

Qualifications:

Bachelor's degree in a technical field, 3+ years of implementing analytics solutions, Fluency with Python scripting, Proficiency in data pipeline building, US citizenship and active TS/SCI clearance.

Key responsabilities:

  • Complete a 6-month training program
  • Provide data science support to clients
  • Facilitate problem framing and data preparation
  • Collaborate with sales and engineering teams
  • Develop Joint Success Plans for customers
DataRobot logo
DataRobot SME https://www.datarobot.com/
501 - 1000 Employees
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Job description

Job Description:

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

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.

  

Key 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.

Knowledge, Skills & Abilities:

  • 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

Nice to have:

  • 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)

Citizenship and Clearance Requirements:

  • Must be a US citizen.

  • Must have an active TS/SCI clearance

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. 

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Organizational Skills
  • Analytical Thinking

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