Senior Execution Data Scientist, DataRobot
$190-232.8k
Value-Driven AI for business
Be an early applicant
Value-Driven AI for business
1001+ employees
Be an early applicant
$190-232.8k
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master’s degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation
- 3 years of experience consulting with customers on end-to-end data science solutions
- 3 years of experience building and implementing machine learning or AI models into production
- Experience with each of the following:
- Machine learning and predictive modeling
- Building and implementing predictive models, data science, and complex statistical analysis
- Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries
- Developing predictive models, AI algorithms, and systems to generate significant business insights
- Integrating predictive models and AI algorithms into client environments
- Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization
What the job involves
- Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries
- Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments
- Serve as a Data Science technical expert representing DataRobot during customer engagements
- Conduct proof-of-concept and proof-of-value trials
- Guide and advise clients on evaluating success criteria
- Carry out AI implementation and operationalization
- Train end users
- Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization
- Provide data science knowledge and expertise as a trusted advisor to clients
- Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognized as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company HQ
Financial District, Boston, MA
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
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