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Data Science Phd Jobs in Delaware (NOW HIRING)

Sepax Technologies, Inc.

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R&D Scientist

Newark, DE · On-site

$65K - $85K/yr

PhD degree in material science, polymer science, synthetic chemistry, or related disciplines. * 1 ... Analyze data and prepare detailed technical reports. * Provide presentations to summarize ...

Sepax Technologies, Inc.

Be Seen First

R&D Scientist

Newark, DE · On-site

$65K - $85K/yr

PhD degree in material science, polymer science, synthetic chemistry, or related disciplines. * 1 ... Analyze data and prepare detailed technical reports. * Provide presentations to summarize ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

PhD in Statistics Join the team unlocking the power of what science can do. We are working towards ... We are committed to making a difference by fusing data and technology with the latest scientific ...

WuXi AppTec

QC Analytical Scientist

Middletown, DE

Support client and regulatory audits by presenting data, explaining technical approaches, and ... OR * Master's degree with 3+ years or PhD with 1+ years of relevant QC analytical laboratory ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
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What job categories do people searching Data Science Phd jobs in Delaware look for? The top searched job categories for Data Science Phd jobs in Delaware are:
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Infographic showing various Data Science Phd job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Quantitative Analytics Lead- Model Risk Management

OneMain Financial

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

113th of 150 rated financial services

Job description

Quantitative Analytics Lead- Model Risk Management
Location: Wilmington, DE (Hybrid)
OneMain is seeking a Quantitative Analytics Lead, Model Risk Management (MRM) to help lead and strengthen the firm's Model Risk Management program in alignment with regulatory guidance, including SR 11-7 and OCC supervisory expectations. This role supports a diverse consumer credit portfolio, including Personal Loans, Credit Cards, Automotive, and Point-of-Sale lending.
The position offers a unique opportunity to apply advanced analytics and machine learning expertise while exercising independent challenge across the full model lifecycle. The role also plays a key part in regulatory readiness, audit engagement, and the continued evolution of OneMain's Fair Lending analytical governance framework.
Responsibilities
  • Provide hands-on model governance oversight across the full model lifecycle, including development, implementation, validation, use, and ongoing monitoring of machine learning models supporting marketing, origination, servicing, and loss mitigation.
  • Perform independent and effective challenge of models, assessing conceptual soundness, data integrity, methodology, assumptions, and limitations. Evaluate key development decisions, including target construction, training versus validation strategies, sampling approaches, performance windows, hyper-parameter tuning, model performance metrics, variable selection, and swap-set analyses.
  • Provide robust challenge and governance oversight of CECL and loss forecasting models, serving as a central point of contact for internal audit, external audit, and regulatory examinations. Prepare clear, well-supported model governance and validation documentation in support of model approvals and ongoing use.
  • Conduct periodic model validations and assess whether validation activities performed by internal teams or third parties meet Model Risk Management policy requirements, including outcomes analysis, benchmarking, and sensitivity testing, as appropriate.
  • Apply analytics, business rules, and other risk tools to monitor model performance and behavior, identify emerging risks or anomalies, and recommend remediation or model enhancements when warranted.
  • Contribute to the ongoing modernization of the MRM function by leveraging advanced analytics and AI-enabled tools to improve governance efficiency, documentation quality, and knowledge management.
  • Participate in broader artificial intelligence and advanced analytics initiatives in partnership with the data science & technology organization, ensuring appropriate governance and risk controls are embedded from inception.
  • Support OneMain's Fair Lending Analytics Program by developing fair lending models and conducting statistically rigorous analyses to assess potential disparate impact and compliance risk.
  • Apply regression, classification, and related statistical techniques to perform deep-dive analyses, clearly articulating both statistical and practical significance to inform risk decisions and regulatory communications.

Qualifications
  • Master's degree in a quantitative discipline (Statistics, Mathematics, Data Science, or related field) required; PhD preferred.
  • 3+ years of experience in statistics, data science, decision science, or a related quantitative field.
  • 3+ years of experience building, reviewing, or validating machine learning models within the consumer finance industry.
  • Strong understanding of consumer lending products, credit risk practices, and regulatory expectations related to model risk management.
  • Hands-on experience with machine learning techniques, particularly tree-based models such as XGBoost, and strong analytical "deep-dive" capabilities.
  • Exposure to modern AI concepts, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems, with an appreciation for associated governance and risk considerations.
  • Proven ability to lead and manage complex, ambiguous projects and provide structured, defensible analytical judgment.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders, auditors, and regulators.
  • Demonstrated intellectual curiosity, strong idea generation, and an interest in research, innovation, and continuous improvement.
  • Proficiency in Python and SQL; experience with AWS and SageMaker is a strong plus.

Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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