1

Director Causal Inference Jobs in Washington (NOW HIRING)

Direct graph analytics and causal inference activities. * Lead explainable AI implementation. * Oversee validation methodology. * Mentor technical staff. * Present technical findings to Government ...

New

Direct graph analytics and causal inference activities. * Lead explainable AI implementation. * Oversee validation methodology. * Mentor technical staff. * Present technical findings to Government ...

New

Showing results 21-26

Director Causal Inference information

What are the most commonly searched types of Causal Inference jobs in Washington?

The most popular types of Causal Inference jobs in Washington are:

What are popular job titles related to Director Causal Inference jobs in Washington?

For Director Causal Inference jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Director Causal Inference jobs in Washington look for?

The top searched job categories for Director Causal Inference jobs in Washington are:

Infographic showing various Director Causal Inference job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Senior Workforce Strategy Consultant

Cephas Consultancy Services Private Limited

Washington, DC • On-site

$120 - $180/hr

Other

Posted 12 days ago


Job description

Senior Workforce Strategy Consultant

Cephas Consultancy Services Private Limited Washington, District of Columbia, United States

About this position

We are seeking an experienced Senior Workforce Strategy Consultant to join our Washington, D.C. office. This role combines deep workforce analytics and human capital strategy with practical, responsible use of AI to deliver faster, more powerful, and more actionable insights. You will help clients predict, shape, and optimize workforce outcomes by blending traditional labor economics, I/O psychology, and statistical rigor with modern AI‑assisted analytics, model governance, and operationalized data products.

Key Responsibilities
  • Translate business problems into analytics‑driven workforce solutions that combine qualitative research, advanced statistics, and AI‑enabled methods (including machine learning and large language models) to uncover workforce dynamics and strategic opportunities.
  • Design, build, and operationalize analytic models and data products (e.g., forecasting models, skills taxonomies, retention risk scoring, internal mobility recommendations) that leverage structured data, unstructured text (job descriptions, performance feedback), and third‑party labor market signals.
  • Lead client engagements as the analytics and AI subject‑matter lead: define analytic approaches, present findings, translate insights into prioritized workforce investments, and co‑create implementation roadmaps with client stakeholders.
  • Drive pay equity, strategic workforce planning, and external labor market analyses using both classical econometrics and AI‑enhanced approaches; quantify business impact and ROI for recommended interventions.
  • Create and deliver clear, compelling deliverables—interactive dashboards, visualizations, client‑ready slide decks, and data stories—using best practices in interpretability and design so technical results are actionable for HR and business leaders.
  • Ensure responsible AI use: implement model validation, bias detection and mitigation, explainability techniques, privacy‑preserving practices, and documentation consistent with client and regulatory requirements.
  • Contribute to our intellectual capital: create reusable AI‑enabled frameworks, client accelerators, proposals, and thought leadership that reflect emerging practice in AI‑driven workforce strategy.
Success Metrics
  • Clients adopt model‑driven workforce decisions (e.g., hiring prioritization, targeted retention programs, reskilling investments) that measurably improve engagement, productivity, or cost‑efficiency.
  • Analytic products are accurate, explainable, reproducible, and built with operational controls so clients can scale and govern them post‑engagement.
Qualifications
  • 8+ years of relevant consulting experience in workforce strategy, HR analytics, labor economics, organizational psychology, or a closely related field.
  • Master’s or PhD in economics, I/O psychology, statistics, data science, computer science, labor relations, or another quantitative discipline.
  • Demonstrated experience in pay equity analysis, strategic workforce planning, external labor market analysis, or comparable workforce consulting engagements.
  • Strong statistical and machine learning skills: regression, causal inference, time series, clustering, and predictive modeling.
  • Proficiency in modern data tooling and languages (e.g., Python, R, SQL) and experience with visualization tools (e.g., Tableau).
  • Hands‑on experience extracting value from large and varied datasets and translating technical outputs into business actions.
  • Excellent storytelling, client‑facing communication, and project leadership skills.
Desired Attributes
  • An AI‑native mindset: you can evaluate new tools quickly, integrate them responsibly into client workstreams, and clearly communicate trade‑offs (accuracy, speed, explainability, privacy).
  • A consultative approach that couples rigorous analytic technique with pragmatic implementation focus—able to move clients from insight to measurable action.
  • Comfortable directing analysis end‑to‑end: from data strategy and ingestion through modeling, validation, visualization, and deployment guidance.
Benefits and Culture
  • Professional development opportunities, interesting work, and supportive leaders.
  • Vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities.
  • Range of career opportunities, as well as benefits and rewards to enhance your well‑being.

Our compensation for this role is open and will be determined based on the candidate's experience, skills, and overall fit. Please feel free to discuss salary expectations with candidates during your initial screening.

#J-18808-Ljbffr