Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
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Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
Consultant - HEOR/Epidemiology
Washington, DC · On-site
$130K - $190K/yr
Responsibilities include managing junior staff; designing and conducting observational studies; performing statistical analysis-preferably with experience in advanced causal inference methods ...
Consultant - HEOR/Epidemiology
Washington, DC · On-site
$130K - $190K/yr
Responsibilities include managing junior staff; designing and conducting observational studies; performing statistical analysis-preferably with experience in advanced causal inference methods ...
... managers, recruiters, and AUTA leadership while providing technical guidance to demand planning ... and causal inference techniques. • Lead development of AI systems to automate school ...
... managers, recruiters, and AUTA leadership while providing technical guidance to demand planning ... and causal inference techniques. • Lead development of AI systems to automate school ...
Applied AI Scientist
Washington, DC · On-site
Using causal inference analysis to identify mechanisms to improve results. Building capacity to ... Manage and mentor a team of researchers and engineers, setting technical direction, ensuring ...
Applied AI Scientist
Washington, DC · On-site
Using causal inference analysis to identify mechanisms to improve results. Building capacity to ... Manage and mentor a team of researchers and engineers, setting technical direction, ensuring ...
Experience with experimentation platforms and causal inference techniques. Strong communication and ... Manager, document tracking requirements for engineering team and verify data layer is firing ...
Experience with experimentation platforms and causal inference techniques. Strong communication and ... Manager, document tracking requirements for engineering team and verify data layer is firing ...
... managers, recruiters, and AUTA leadership while providing technical guidance to demand planning ... and causal inference techniques. • Lead development of AI systems to automate school ...
... managers, recruiters, and AUTA leadership while providing technical guidance to demand planning ... and causal inference techniques. • Lead development of AI systems to automate school ...
... including Bayesian causal inference methods for reasoning under uncertainty, evaluating ... quality management. • Demonstrated experience building and deploying ML models, automated ...
... including Bayesian causal inference methods for reasoning under uncertainty, evaluating ... quality management. • Demonstrated experience building and deploying ML models, automated ...
Machine Learning Engineer
Mclean, VA · On-site
$105K - $115K/yr
Partner with ML engineers, data engineers, software developers, product managers, data analysts ... Perform exploratory data analysis, statistical modeling, causal inference, and other advanced ...
Machine Learning Engineer
Mclean, VA · On-site
$105K - $115K/yr
Partner with ML engineers, data engineers, software developers, product managers, data analysts ... Perform exploratory data analysis, statistical modeling, causal inference, and other advanced ...
... and causal inference. The DBBB is active in statistical and bioinformatics research and team ... and project manager will be assigned to the Robert Graham Center and to the work of the new ...
... and causal inference. The DBBB is active in statistical and bioinformatics research and team ... and project manager will be assigned to the Robert Graham Center and to the work of the new ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for ... causal inference. * Strong desire and experience with data in various forms (data warehouses/SQL ...
New
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for ... causal inference. * Strong desire and experience with data in various forms (data warehouses/SQL ...
New
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...
... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...
Data Scientist
Washington, DC · On-site +1
Collaborate with engineers, data scientists, program managers and external stakeholders to ... Knowledge of experimental design and causal inference * Experience creating and delivering ...
Data Scientist
Washington, DC · On-site +1
Collaborate with engineers, data scientists, program managers and external stakeholders to ... Knowledge of experimental design and causal inference * Experience creating and delivering ...
... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...
... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...
Manager Causal Inference information
How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What does a Manager Causal Inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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 Manager Causal Inference jobs in Washington? For Manager Causal Inference jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Washington look for? The top searched job categories for Manager Causal Inference jobs in Washington are:
What cities in Washington are hiring for Manager Causal Inference jobs? Cities in Washington with the most Manager Causal Inference job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 22 days ago
Job description
Company Description
Additional Information
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job DescriptionWe are seeking a visionary and execution-oriented Director of AI Engineering to join our team. In this senior, client facing role, you will own the full lifecycle of AI model development, setting technical strategy and ensuring that cutting-edge machine learning solutions move from concept to production with business impact at their core.
With roots in data science and hands-on expertise in custom transformer architecture, you will bring both the credibility to lead technical teams. You will operate at the intersection of stakeholder management and deep technical execution and you should be equally comfortable presenting to a senior audience and reviewing model architecture with your team.
This is a high-impact, high-autonomyy role with significant organizational influence. You will define the AI roadmap, establish engineering best practices, and champion a culture of rigorous, reproducible, and responsible machine learning.
Strategic Leadership & Team Management
- Define technical investments with business objectives
- Mentor, and manage AI/ML engineers, senior data scientists, and MLOps engineers—setting performance expectations and a high-performance culture.
- Partner with cross-functional leaders to prioritize initiatives, allocate resources, and measure organizational impact.
- Establish engineering standards, code review practices, and model governance frameworks across the AI org.
Custom Transformer Architecture & Model Development
- Serve as the technical authority on deep learning architecture—personally leading the design and development of custom transformer models for sequence modeling, customer propensity scoring, audience segmentation, and churn prediction.
- Drive innovation in attention mechanisms, positional encodings, and tokenization strategies specifically suited to tabular, time-series, and event-stream data common in marketing and telecom.
- Oversee adaptation and fine-tuning of foundation models (BERT, T5, TabTransformer, LLMs) for proprietary client datasets, ensuring domain-specific performance.
- Champion reproducible experimentation and architectural decision documentation across the team.
Data Science & Applied Analytics
- Oversee end-to-end data science workflows: problem framing, feature engineering, model development, validation, and production deployment.
- Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online evaluation frameworks.
- Guide the team in building robust data pipelines for large-scale structured and unstructured datasets, including clickstream, CRM, ad telemetry, CDRs, and network KPIs.
Client & Executive Engagement
- Lead technical discovery and solutioning with enterprise clients translating ambiguous business problems into well-scoped AI initiatives.
- Present AI strategy, model results, and roadmap updates to C-suite and senior client stakeholders with clarity and executive presence.
- Contribute to business development: support RFP responses, lead technical portions of client proposals, and help grow the AI engineering practice.
MLOps, Infrastructure & Governance
- Establish production standards for model deployment, monitoring, drift detection, and automated retraining across cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
- Drive adoption of MLOps best practices including CI/CD for ML, containerization (Docker/Kubernetes), and experiment tracking (MLflow, W&B, DVC).
- Implement model governance, explainability, and responsible AI standards in compliance with client and regulatory requirements.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a closely related quantitative field; Ph.D. strongly preferred.
- 10+ years of progressive experience in data science and machine learning, with at least 3–5 years in a people management or technical leadership role (Director, Sr. Manager, or Principal Engineer level).
- Proven track record of leading high-performing AI/ML engineering teams in a fast-paced, client-facing or product environment.
- Deep, hands-on expertise designing and training custom transformer architectures from scratch—not only fine-tuning pre-built checkpoints, but architecting novel attention mechanisms, embedding strategies, and model topologies.
- Strong applied data science foundation: feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets.
- Proficiency in Python and core ML/DL libraries: PyTorch (preferred), TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost/LightGBM.
- Direct experience with industry datasets in marketing & media (DSP/DMP logs, ad impression data, attribution pipelines, MMM) OR telecommunications (CDRs, network KPIs, subscriber behavior, churn datasets).
- Command of SQL and large-scale data platforms: Spark, BigQuery, Snowflake, or Databricks.
- Experience owning end-to-end MLOps: cloud deployment (SageMaker, Vertex AI, or Azure ML), monitoring, CI/CD for ML, and model governance.
- Exceptional executive communication skills—able to translate complex model behavior into business language for C-suite and client audiences.
PREFERRED QUALIFICATIONS
- Professional services experience across multiple client engagements or business units
- Background in privacy-preserving ML: federated learning, differential privacy, or synthetic data generation—especially relevant in post-cookie marketing environments.
- Knowledge of graph neural networks (GNNs) for social graph or network topology analysis in telecom contexts.
- Published research or conference contributions (NeurIPS, ICML, KDD, RecSys, or industry equivalents) related to applied transformers, tabular deep learning, or domain-specific AI.
- Experience with real-time inference and streaming ML pipelines (Kafka, Flink, or similar).
- Demonstrated ability to build strategic partnerships with external clients, contributing to revenue growth or account expansion through technical leadership.
- Deep experience with openai focused on embeddings
- Experience building custom transformer models
Additional Information
The starting pay range for this role is $180,000 - $240,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
About Blend360
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Columbia, MD, US
Year founded
2016