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’s Applied Data Science Associate program (ADSA) is designed to provide qualified individuals with the training and experience necessary to become a Data Science Associate in approximately 6 months. This intense program is for the self-motivated and intellectually curious. The program will offer you opportunities to learn from the world’s foremost experts in AI and apply your newfound knowledge in the frontier of AI. Past graduates of this program have delivered novel applications of AI in businesses across the world. Many graduates of the program now have leadership positions within DataRobot.
How
The Applied Data Science Associate program is centered around the Customer Facing Data Scientist Competencies. These are the competencies that must be developed and mastered to become a successful Data Scientist. There are 4 core competencies:
We focus on developing expertise in the data science necessary to help our customers be successful, primarily with the DataRobot platform. Thus we focus first on classification, regression, time series, and anomaly detection, along with all the associated data preprocessing and algorithms. We also focus on developing proficiency in wrangling data with tools like Python and R. This competency is the one that will be most tailored to the individual.
The Data Scientist has to be an expert on the functionality of the DataRobot platform, both with the GUI as well as with the Python and R clients.
Sometimes a Data Scientist is advising an end-user, e.g. a business analyst or a data scientist, on a particular project. Other times they are consulting with the senior management, helping to create a vision for how machine learning can benefit the company’s bottom line. This requires understanding how the company generates value and identifying opportunities (use cases) to reduce costs or increase revenue, quantifying the impact of those use cases, and then prioritizing and planning the execution of those projects so that the customer realizes value.
Who
Are you ready to start on this journey?
Language Requirements
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 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.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.