Customer-Facing Data Scientist - India

DataRobot; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

DataRobot is seeking a Customer Facing Data Scientist who will leverage their data science expertise to empower customers in achieving their AI goals. In this role, you will work closely with diverse stakeholders, manage client interactions, and demonstrate the power of AI solutions across various industries. This position values collaboration, strong communication skills, and a commitment to enhancing customer experiences. Join DataRobot and contribute to transforming businesses through advanced AI and machine learning.

Benefits

Medical, Dental & Vision Insurance

Flexible Time Off Program

Paid Parental Leave

Global Employee Assistance Program (EAP)

Qualifications

• 4-5+ years of business experience in data science role required.
• Strong organizational, communication, and interpersonal skills needed.
• Hands-on experience building AI models is essential.

Responsibilities

• Support customers through the entire lifecycle from pre-sales.
• Act as a trusted advisor on AI and solve complex data problems.
• Collaborate with internal teams to advocate for customer needs.

Skills

Machine Learning

Data Preparation

Model Building

Customer Interaction

Project Management

Scripting in Python

Scripting in R

Education

Bachelor’s degree in a quantitative subject

Tools

Python

R

Job description

Job Description:

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 is the world’s premier AI and data science platform. Our Customer Facing Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world results. As a Customer Facing Data Scientist at DataRobot, you will collaborate closely with DataRobot customers, bringing expertise in data science and the DataRobot platform, to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.

Responsibilities

• Support customers through the entire customer lifecycle beginning with pre-sales and as an ongoing client of DataRobot

• Act as a trusted advisor on AI; enable customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption

• In the pre-sales process, represent the DataRobot product to customer executives – lead demonstrations, advise on and evaluate the viability of customer use cases, help develop success criteria, support Proof of Value trials, and quantify the business impact of automation-first data science solutions

• Work side-by-side with the Sales, Account Management, and Field Engineering teams to help our customers achieve their goals with DataRobot.

• Act internally as the voice of the customer to the Product, Engineering, and Marketing teams

• Present at conferences and/or help create other marketing content

Requirements

• 4-5+ years of real-world business experience in a data science role

• Bachelor’s degree, preferably in a quantitative subject

• Hands-on experience building and implementing machine learning or AI models

• Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes

• Strong customer interaction experience

• Strong project management skills

• Excellent organizational, communication, writing and interpersonal skills

• Familiarity with a variety of technical tools for the manipulation of data

• Fluency with scripting in Python or R (preferably both)

Desired:

• Advanced degree

• Familiarity with consultative sales process in the analytics marketplace

• Familiarity with data platform technology integrations

• Experience dealing with complex customer organizations

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.

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