Full-Time

Applied Data Science Associate

Confirmed live in the last 24 hours

DataRobot

DataRobot

501-1,000 employees

AI platform for data analysis and processing

Data & Analytics
AI & Machine Learning

Entry, Junior

Boston, MA, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
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.
  • Excellent communication and strong customer interaction skills
  • Excellent project management and organizational abilities
  • Familiarity with a variety of technical tools for the manipulation of data
  • Fluency with scripting in Python or R
Responsibilities
  • Successfully conduct a 6 month structured and independent training program inorder 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
  • Enabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
  • Fostering 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 business 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.

DataRobot provides an artificial intelligence platform that simplifies and enhances data analysis and processing for various industries. The platform integrates data from multiple sources, applies Extract, Transform, Load (ETL) processes, and utilizes AI tools to help clients make informed decisions. For example, companies like FordDirect and OYAK Cement have used DataRobot to better understand their customers and optimize their operations, respectively. Unlike many competitors, DataRobot focuses on unifying these processes into a single platform, making it easier for clients to leverage their data effectively. The company's goal is to empower organizations to make data-driven decisions that improve their performance and efficiency.

Company Stage

N/A

Total Funding

$1B

Headquarters

Boston, Massachusetts

Founded

2012

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-4%

2 year growth

-14%
Simplify Jobs

Simplify's Take

What believers are saying

  • DataRobot's collaborations, such as with IMDA for Project Moonshot, expand accessibility and usability of AI tools, fostering innovation.
  • The launch of groundbreaking tools like AI Observability with real-time intervention for Generative AI highlights DataRobot's commitment to cutting-edge technology.
  • Being named a leader in the Gartner Magic Quadrant enhances the company's reputation, potentially attracting more clients and top talent.

What critics are saying

  • The competitive AI and data analytics market requires continuous innovation to maintain leadership, posing a risk if DataRobot fails to keep pace.
  • Integration challenges with partners like Teradata could lead to technical issues or delays, impacting client satisfaction.

What makes DataRobot unique

  • DataRobot's integration of ETL processes with AI tools offers a unified platform that simplifies data handling and analysis, unlike competitors who may offer these services separately.
  • The company's focus on advanced LLM evaluation and assessment metrics provides unique capabilities that set it apart from other AI platforms.
  • Recognition as a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms underscores its industry leadership and credibility.

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