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Relocation Package Data Science Jobs in Michigan

Data Fabric Engineer - Palantir

Ann Arbor, MI · On-site

$90.40K - $153.70K/yr

... packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

... packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Data Fabric Engineer - Palantir

Ann Arbor, MI · On-site

$90.40K - $153.70K/yr

... packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Bachelor's degree in Statistics, Data Science, Computer Science, Business Analytics, or a related ... Comprehensive Health Insurance Package * Dynamic team and challenging projects * Flexible Paid Time ...

AI Engineer

Dearborn, MI · On-site

$105.50K - $126.60K/yr

As an AI Engineer, you will play a critical role in leveraging data science to drive significant ... Relocation assistance may be available for qualified candidates. Responsibilities What you'll do.

Data Analyst

Farmington, MI · On-site

$125K/yr

Travel/relocate to various unanticipated locations throughout the U.S. for long and short term ... Requires Bachelor's degree or foreign equivalent in Computer Science, Engineering (any), or related ...

AI Engineer

Dearborn, MI · On-site

$105.50K - $126.60K/yr

As an AI Engineer, you will play a critical role in leveraging data science to drive significant ... Relocation assistance may be available for qualified candidates. You'll have... * Bachelor's degree ...

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Relocation Package Data Science information

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Michigan? For Relocation Package Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Michigan look for? The top searched job categories for Relocation Package Data Science jobs in Michigan are:
What cities in Michigan are hiring for Relocation Package Data Science jobs? Cities in Michigan with the most Relocation Package Data Science job openings:

Data Fabric Engineer - Palantir

Orbotech

Ann Arbor, MI • On-site

$90.40K - $153.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Company Overview

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.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

The Data Fabric Engineer(Palantir) is responsible for designing, developing, and managing endtoend solutions on the Palantir Foundry platform. This role delivers scalable, governed data pipelines, ontologies, and applications that enable analytics and operational decisionmaking. The engineer works independently on mediumcomplexity deliverables and collaborates with crossfunctional teams to ensure reliable production solutions.

Palantir Platform Development

  • Design, build, and maintain endtoend data pipelines within Palantir Foundry, covering ingestion, transformation, and persistence.

  • Develop and manage Foundry datasets, transforms, and pipelines using Python and SQL.

  • Build and maintain Foundry Ontologies, modeling business entities, relationships, and workflows.

  • Develop Foundry applications and analytical workflows (e.g., Workshopbased solutions) to support business and operational use cases.

  • Promote solutions from development to production following platform, quality, and governance standards.

Platform Operations & Governance

  • Support and operate Palantir Foundry environments (development, test, production).

  • Monitor pipeline health, data quality, and performance; troubleshoot and resolve platform or data issues.

  • Implement and maintain data access controls, permissions, and governance rules in alignment with security and compliance requirements.

  • Partner with platform administrators to follow operational best practices and platform standards.

Data Integration & Engineering

  • Integrate Palantir Foundry with enterprise data sources such as SAP, Snowflake, relational databases, APIs, and flat files.

  • Ensure data accuracy, lineage, and consistency across the data lifecycle.

  • Apply performance and scalability best practices for enterprisescale data volumes.

Collaboration & Documentation

  • Partner with business stakeholders, data analysts, and data scientists to translate requirements into scalable Foundry solutions.

  • Participate in design reviews, code reviews, and solution walkthroughs.

  • Create and maintain technical documentation and operational runbooks.

Preferred Qualifications

  • Experience integrating Foundry with SAP, Snowflake, Azure, or AWS ecosystems.

  • Exposure to manufacturing, finance, supply chain, or operations analytics use cases.

  • Familiarity with Foundry Code Repositories, version control (Git), and CI/CD concepts.

  • Experience supporting production systems and operational analytics.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

  • Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering.

  • Handson experience with Palantir Foundry, including:

    • Data ingestion and transformation pipelines

    • Ontology design and management

    • Application or workflow development

  • Strong proficiency in Python and SQL.

  • Experience working with enterprisescale data platforms and complex data models.

  • Solid understanding of data governance, security, and access control concepts

Base Pay Range: $90,400.00 - $153,700.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA'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 attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.