Data Scientist II

Who you are

You have a strong background in data science, with experience in machine learning and AI — you understand how to apply these technologies to solve real-world problems and improve business outcomes. Your interpersonal skills allow you to effectively communicate with customers, understanding their unique challenges and translating them into actionable data-driven solutions. You are familiar with GIS workflows, although prior experience is not mandatory, and you are eager to learn about spatial data analytics. You possess a solid foundation in statistics and data analysis, enabling you to build high-quality analytics systems that drive insights and decision-making.

You are proficient in writing production-level code for data analysis and process automation — your technical expertise allows you to develop and deploy models that achieve high predictive accuracy. You are skilled in feature engineering, model selection, and hyperparameter optimization, ensuring that your models perform optimally in production environments. Your ability to scope projects and communicate uncertainties and risks effectively makes you a valuable asset to any team.

Desirable

Experience with GIS technologies or spatial data analytics is a plus, as it will enhance your ability to collaborate with GIS experts and integrate your data science solutions seamlessly into their workflows. Familiarity with various data science tools and programming languages will also be beneficial in this role.

What you'll do

As a Data Scientist II at Esri, you will consult closely with customers to understand their needs and serve as Esri's representative in developing tailored data science solutions. You will scope projects, communicate uncertainties and risks, and accurately estimate delivery times to ensure successful project execution. Your role will involve developing and pitching data science solutions that map business problems to advanced analytics approaches, showcasing your ability to translate complex data into actionable insights.

You will serve as a subject matter expert for internal stakeholders, providing guidance and support in data-driven decision-making processes. Writing production-level code for data analysis and process automation will be a key responsibility, allowing you to contribute directly to the development of high-quality analytics systems. You will employ techniques from data mining, statistics, and machine learning to build robust models that drive business value.

Your work will include performing feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy. You will also be responsible for deploying models to production, ensuring that they operate effectively and deliver the desired outcomes. Collaborating with cross-functional teams, you will leverage your technical expertise to enhance Esri's offerings and help customers harness the power of location data.

What we offer

Esri provides a dynamic work environment where you can grow your skills and make a meaningful impact through your work. You will have the opportunity to collaborate with experts in the field and gain valuable knowledge in spatial data analytics. The company is committed to fostering a culture of innovation and continuous learning, encouraging you to explore new technologies and methodologies that can enhance your contributions.

We offer competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us at Esri and be part of a team that is dedicated to changing the world through machine learning and location intelligence.