refresh

트렌딩 기업

트렌딩

채용

JobsDeloitte

Palantir Data Scientist

Deloitte

Palantir Data Scientist

Deloitte

Arlington, VA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Parental leave program

Wellness benefits

Remote work flexibility

Learning and development stipend

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

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Deloitte

Deloitte

Deloitte

Private Partnership

A business consulting company that offers audit, consulting, financial advisory, and tax services.

10,001+

Employees

London

Headquarters

Reviews

3.4

17 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

2.2

Management

1.5

25%

Recommend to a Friend

Pros

Professional development and certification support

Opportunities to work on critical projects

Recognition of high performers

Cons

Poor management and leadership decisions

Unfair promotion processes despite good performance

Layoffs and job insecurity

Salary Ranges

87,539 data points

Junior/L3

L3

L4

L5

L6

L7

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L1

0 reports

$87,727

total / year

Base

-

Stock

-

Bonus

-

$74,568

$100,886

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Behavioral Interview

5

Team/Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience

Culture Fit