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Data Science Phd information

What are the key skills and qualifications needed to thrive as a data science PhD?

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.

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.

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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Data Science Phd jobs near you
Infographic showing various Data Science Phd job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior-Level Data Scientist Engineer (TS/SCI with Polygraph Required)

DeNOVO Solutions LLC

Aurora, CO • On-site

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

Position: Data Scientist Engineer - Mid
Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph
Lead AI/ML Innovation in Mission Data Science
DeNOVO Solutions is seeking a Mid Level Data Scientist Engineer to lead the design, development, and deployment of advanced AI/ML solutions supporting complex mission and operational environments. This role is ideal for an experienced data science professional who thrives at the intersection of research, engineering, and mission execution-developing high-impact, explainable models that transform raw data into actionable intelligence. You'll guide the evolution of production ML systems, mentor mid-level engineers, and work directly with analysts to ensure model performance meets the highest standards of accuracy, transparency, and operational readiness.
Why You'll Love This Role:
  • You'll Shape AI for the Mission: Design and deploy models that extract real-world value from signal and sensor data.
  • You'll Drive Scalable ML Systems: Lead the integration of automated retraining and deployment pipelines within secure cloud environments.
  • You'll Mentor and Lead: Share your expertise with junior data scientists and engineers, fostering a culture of innovation and technical excellence.

A Day in the Life:
  • AI/ML Solution Development: Lead the creation and optimization of advanced ensemble, neural network, and unsupervised learning models tailored to mission data.
  • Automation & Scalability: Design automated pipelines for data ingestion, curation, and retraining to ensure model adaptability and long-term performance.
  • Validation & Explainability: Coordinate with analysts and mission experts to validate models, track accuracy metrics, and enforce compliance with explainability and transparency standards.
  • Model Deployment: Integrate and operationalize ML models into production systems, collaborating with DevSecOps to align with CI/CD pipelines and mission constraints.
  • Monitoring & Optimization: Implement tools for continuous monitoring, A/B testing, and drift detection to maintain model reliability.
  • Team Leadership: Mentor junior team members, review code and models, and promote best practices in data science methodology, governance, and reproducibility.

Tools, Technologies, Skills, & Knowledge:
  • Machine Learning & AI: Ensemble models, CNNs, RNNs, Transformers, unsupervised and semi-supervised learning
  • Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost
  • Data Infrastructure: Feature stores, distributed computing frameworks (Spark, Ray, Dask)
  • Deployment & Monitoring: MLflow, DVC, Docker, model monitoring, A/B testing, data drift detection
  • Analytical Expertise: Causal inference, signal data processing, experiment design, model interpretability (SHAP, LIME)
  • Collaboration Tools: Jupyter Notebooks, Git, Confluence, Agile/DevSecOps environments

What You Need:
  • Experience: Five (5) to ten (10) years of experience designing, training, and deploying ML models within the DoD or Intelligence Community, including experience leading technical teams or enterprise AI initiatives.
  • Education:
    • Bachelor's degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science).
    • A Master's degree may substitute for two years of experience; a PhD may substitute for four years.
    • An additional two years of related experience may substitute for a Bachelor's degree.
  • Certifications: None required.
  • Clearance: TS/SCI with CI Polygraph.

Salary Range: $135,000.00 - $155,000.00 (Commensurate with experience)
Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.
Why Join DeNOVO Solutions?
At DeNOVO Solutions, we make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost-competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent & skills equal to the larger companies. As a Minority-Owned and Service-Disabled Veteran-Owned Small Business (MO/SDVOSB), we are dedicated to providing the best technical and professional services throughout the Intelligence Community (IC).
Our benefits package for full-time employees includes:
  • Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
  • DeNOVO Paid Health Reimbursement Account (HRA).
  • 401k with 6% Match.
  • 11 Paid Federal Holidays.
  • 120 hours of Paid Time Off (PTO).
  • Company Outings and Trips.
  • Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance.
  • HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home.

DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.
Ready to Apply?
If you're ready to lead advanced AI/ML initiatives and deliver high-performance, explainable models that shape mission outcomes, apply today with DeNOVO Solutions.
Pay Range: $145,000 - $155,000 per year

Apply