Data Scientist - Palantir Developer

Relha LLC

Ann Arbor (MI)

On-site

USD 90,000 - 154,000

Full time

47 hours ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k) with company match
Employee stock purchase plan (ESPP)
Tuition reimbursement
Paid time off

Job summary

KLA in Ann Arbor, MI is seeking a Data Analyst / Data Scientist with hands-on Palantir Foundry experience. You will work with business stakeholders to translate needs into Foundry solutions and build scalable analytics and AI-enabled workflows.

Responsibilities include developing Foundry pipelines, dashboards, and data products, validating data, and collaborating with IT and data teams. Bachelor's degree required; 2+ years Foundry experience.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
  • 2+ years of hands-on Palantir Foundry development experience.
  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.
  • Experience building data pipelines, transformations, and operational applications in Foundry.
  • Strong SQL skills and experience working with large datasets.
  • Experience using Python for data analysis, automation, or machine learning.
  • Strong understanding of data modeling and business process transformation.
  • Demonstrated ability to work independently with business stakeholders.
  • Excellent communication, facilitation, and requirements gathering skills.
  • Ability to convert ambiguous business problems into technical solutions.

Responsibilities

  • Partner with business stakeholders to gather, document, and refine requirements.
  • Translate business processes into scalable Palantir Foundry solutions.
  • Design and develop Foundry-native applications using Workshop for interactive data and workflows.
  • Develop and maintain Foundry pipelines, Ontology objects, and Workshop applications.
  • Build analytical models and dashboards to support data-driven decisions.
  • Support AI/ML use cases within the Foundry ecosystem.
  • Collaborate with cross-functional teams and manage project timelines.
  • Create technical and functional documentation and promote data governance best practices.
  • Perform data validation, testing, and root-cause analysis.
  • Drive projects independently and communicate progress to stakeholders.

Skills

SQL
Python
Data modeling
Communication
Requirements gathering
Independent work

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field

Tools

Palantir Foundry
Workshop
Ontology objects
Code repositories
Git

Job description

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Analyst / Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

Partner directly with business stakeholders to gather, document, and refine business requirements.

Translate business processes and operational needs into scalable Palantir Foundry solutions.

Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

Build analytical models, dashboards, and data products that enable business decision-making.

Support AI and machine learning use cases within the Foundry ecosystem.

Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

Perform data validation, troubleshooting, testing, and root cause analysis.

Drive projects independently while effectively managing stakeholder expectations and timelines.

Create and maintain technical and functional documentation.

Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

2+ years of hands-on Palantir Foundry development experience.

Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

Experience building data pipelines, transformations, and operational applications in Foundry.

Strong SQL skills and experience working with large datasets.

Experience using Python for data analysis, automation, or machine learning.

Strong understanding of data modeling and business process transformation.

Demonstrated ability to work independently with business stakeholders.

Excellent communication, facilitation, and requirements gathering skills.

Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $90,400.00 - $153,700.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [emailprotected] or at +1-408-352-2808 to request accommodation.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Aftermarket Business Data Analyst
Aftermarket Business Data Analyst

KLA • Ann Arbor Charter Township (MI)

On-site
USD 77,000 - 133,000
Medical benefits
401(k) matching
ESPP
+1
Aftermarket Business Data Analyst
Aftermarket Business Data Analyst

KLA • Chandler (AZ)

On-site
USD 77,000 - 133,000
Sr. Software Engineer - AI/ML
Sr. Software Engineer - AI/ML

KLA • Ann Arbor Charter Township (MI)

Hybrid
USD 129,000 - 221,000
Medical, dental, and vision benefits
401(K) with company matching
Paid time off and holidays
Aftermarket Business Data Analyst
Aftermarket Business Data Analyst

KLA • Ann Arbor (MI)

On-site
USD 77,000 - 133,000
Forward Deployed Engineer
Forward Deployed Engineer

KLA • Ann Arbor Charter Township (MI)

On-site
USD 111,000 - 191,000
Full-Stack Software Engineer - Remote Services
Full-Stack Software Engineer - Remote Services

KLA • Ann Arbor (MI)

On-site
USD 106,000 - 180,000
Health benefits
401(k) matching
Employee stock purchase program (ESPP)
+2
Forward Deployed Engineer
Forward Deployed Engineer

KLA-Belgium • Ann Arbor (MI)

On-site
USD 111,000 - 191,000
401(k) with company matching
Tuition reimbursement program
Wellness benefits including EAP
Sr. Software Engineer - AI/ML
Sr. Software Engineer - AI/ML

KLA-Belgium • Ann Arbor (MI)

Hybrid
USD 129,000 - 221,000
Medical benefits
401(k) with company matching
Tuition reimbursement
+1
Product Development Engineer (Hardware, Software & Data Analytics)
Product Development Engineer (Hardware, Software & Data Analytics)

KLA • Milpitas (CA)

On-site
USD 117,000 - 201,000
Medical, dental, vision benefits
401(K) with company matching
Employee stock purchase program
+2
Software Engineering Manager-AI/ML
Software Engineering Manager-AI/ML

KLA • Ann Arbor (MI)

On-site
USD 114,000 - 194,000
Medical insurance
Dental insurance
Vision insurance
+6