Palantir Data Scientist - Manager

Deloitte • Gilbert, AZ • 2w ago

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

Work you'll do/Responsibilities

We are seeking an experienced Palantir Data Scientist to join our team. As a Palantir Data Scientist, you will be responsible for designing, building, and deploying data analytics solutions using Palantir's software platform. Stay up to date with the latest Palantir releases and best practices. Enabling write back capability with Workshop Actions/scenarios. Ensuring responsiveness of web applications developed on low code/no code solutions. Collaborate with cross-functional teams, including data scientists, product managers, and engineers. Build Ontology objects in Palantir Foundry.

You will work closely with our business stakeholders to understand their data needs and develop solutions to meet those needs.

The TeamArtificial Intelligence & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Artificial Intelligence & Data Engineering will work with our clients to:

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications Required

10+ years of experience in data science/data manipulation

Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations

Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

Ability to travel up to 10% based on the work you do and the clients and industries/sectors you serve. This may include overnight travel

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred

3+ years of experience designing, building, and deploying data analytics solutions using Palantir's software platform. Skilled in troubleshooting and resolving technical issues related to Palantir development. Experience in developing front end website architecture based on Palantir Foundry and designing user interactions on web pages within Palantir Foundry Workshop.

Experience in building Ontology objects in Palantir Foundry. Understanding of Ontology concepts and how it facilitates data throughout Palantir Foundry applications and permissions. Ability to configure Ontology objects using backing datasets, permissions, etc.

3+ years of experience developing and maintaining data pipelines, data models, data visualizations, data warehousing, and ETL processes

Strong programming skills in languages such as PySpark, Python, TypeScript and JavaScript

Excellent problem-solving skills and attention to detail

Strong communication and collaboration skills

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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