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Phd Computer Science Jobs in Indiana (NOW HIRING)

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a ... Master's degree or PhD in a quantitative or technical discipline What We Offer: Guidehouse offers a ...

AI Data Engineer - Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 4+ years of experience ...

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience ...

AI Engineer Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML). * 4+ years of experience ...

Bachelor's degree in Life Sciences, Engineering, Computer Science, Business, or a related field ... Advanced degree (PhD, MBA, MSc, or equivalent) in a relevant discipline. * Experience in top-tier ...

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Showing results 1-20

Phd Computer Science information

See Indiana salary details

$53.8K

$79.1K

$93.3K

How much do phd computer science jobs pay per year?

As of Jun 29, 2026, the average yearly pay for phd computer science in Indiana is $79,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $89,000.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Indiana? For Phd Computer Science jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Phd Computer Science jobs? Cities in Indiana with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Indiana as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% In-person job distribution, with an average salary of $79,083 per year, or $38 per hour.

Model Validation Lead

Guidehouse

Indianapolis, IN

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

What You Will Do

As a Model Validation Lead, you will provide technical and programmatic leadership for the independent validation, governance, and risk management of advanced analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting mission‑critical use cases across defense and federal financial domains, ensuring models are sound, explainable, compliant, and operationally fit for purpose.

You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and government counterparts to define validation standards, execute reviews, and ensure alignment with federal, DoD, and financial governance expectations.

Key responsibilities include:

  • Lead end‑to‑end model validation activities for ML, AI, and advanced analytical models

  • Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability

  • Review and challenge model assumptions, feature engineering, training approaches, and performance metrics

  • Assess model robustness, sensitivity, and limitations across operational scenarios

  • Evaluate model explainability, transparency, and interpretability for technical and non‑technical stakeholders

  • Partner with MLOps and engineering teams to ensure models are production‑ready and compliant with governance requirements

  • Establish validation documentation standards, review artifacts, and approval processes

  • Support audits, reviews, and governance forums related to AI/ML risk and compliance

  • Advise clients on model risk management, AI governance, and responsible AI practices

  • Mentor junior staff and serve as a technical authority within analytics and AI engagements

What You Will Need
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field

  • FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

  • Experience validating ML, statistical, and predictive models in regulated or high‑risk environments

  • Experience in Python and analytics tooling used to assess, test, and challenge models

  • Experience working with large‑scale datasets and complex analytical pipelines

  • Experience leading small teams or workstreams and interfacing directly with senior stakeholders

What Would Be Great to Have
  • Strong understanding of model risk management concepts, including governance, documentation, and independent review

  • Experience supporting the Department of Defense, including exposure to Advana or enterprise analytics platforms

  • Hands‑on experience validating models using federal financial, budgetary, accounting, or audit data

  • Experience validating models deployed on Databricks (e.g., Spark, MLflow)

  • Ability to translate technical findings into clear, defensible conclusions for government and executive audiences

  • Exposure to models developed or operationalized in Palantir Foundry

  • Familiarity with MLOps practices and how validation integrates into CI/CD pipelines

  • Experience in Azure Government, AWS GovCloud, or other regulated cloud environments

  • Knowledge of Responsible AI, fairness, bias detection, and explainability techniques

  • Experience supporting internal or external audits of AI/ML systems

  • Master’s degree or PhD in a quantitative or technical discipline


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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