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Deloitte
Deloitte

Making an impact that matters.

Palantir Data Scientist

RoleData Science
LevelMid Level
LocationArlington, Vatican City, United States
WorkOn-site
TypeFull-time
Posted3 months ago
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Benefits and perks

Parental Leave

Remote Work

Learning Budget

Required skills

Airflow

PyTorch

TensorFlow

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do:

The Palantir Data Scientist will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.

The Team
Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications
Required:

  • Bachelor's Degree required.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • 1+ years of data science and data manipulation.
  • 1+ years of experience with pipeline and application development within Palantir Foundry.
  • 1+ years experience working with Palantir Foundry engineers.
  • 2 + years of experience as a Data Engineer, Or Data Scientist.
  • Must be able to obtain and maintain required security clearances for the role.
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • 2+ years of prior professional services or federal consulting experience.
  • Creativity and innovation – desire to learn and apply new technologies, products, and libraries.
  • Strong written and verbal communication skills.
  • Strong organizational 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

Contact and location

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About Deloitte

Deloitte

Deloitte

Private Partnership

Deloitte is a British multinational professional services network based in London, United Kingdom. It is the largest professional services network in the world by revenue and number of employees, and is one of the Big Four accounting firms, along with EY, KPMG, and PwC.

10,001+

Employees

London

Headquarters

Reviews

10 reviews

4.0

10 reviews

Work-life balance

2.3

Compensation

4.1

Culture

4.2

Career

4.5

Management

4.0

72%

Recommend to a friend

Pros

Excellent training and development opportunities

Supportive colleagues and management

Challenging and interesting projects

Cons

Poor work-life balance

Long hours and high workload

High pressure and stress levels

Salary Ranges

68,832 data points

Junior/L3

L6

L7

Mid/L4

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist L1

0 reports

$87,727

total per year

Base

-

Stock

-

Bonus

-

$74,568

$100,886

Interview experience

4 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Group Interview

5

Individual Interview

6

Offer

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit