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Executive Chemical Engineering Data Science Jobs in Washington

Blend360

Director, AI Engineering (Data Science)

Columbia, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Client & Executive Engagement * Lead technical discovery and solutioning with enterprise clients ... Strong applied data science foundation: feature engineering, statistical modeling, causal inference ...

Blend360

Director, AI Engineering (Data Science)

Columbia, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Client & Executive Engagement * Lead technical discovery and solutioning with enterprise clients ... Strong applied data science foundation: feature engineering, statistical modeling, causal inference ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Gartner

Director, Data Science

Arlington, VA · Remote

  • Medical

  • Retirement

  • PTO

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ... Strong communication skills to influence executives, translating complex analysis into compelling ...

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Retirement

  • PTO

This position requires expertise in statistical modeling, predictive analytics, data science ... Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence ...

Fannie Mae

Audit Data Science Advisor

Washington, DC

  • Medical

  • Life

... computational programming, and practical problem solving, with the ability to clearly explain ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Reston, VA

  • Medical

  • Life

... computational programming, and practical problem solving, with the ability to clearly explain ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Washington, DC

  • Medical

  • Life

... computational programming, and practical problem solving, with the ability to clearly explain ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Bigbear.ai

Data Scientist, Lead

Washington, DC

$142K - $228K/yr

Bachelor's degree in data science, data engineering, mathematics, or another related field * Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 ...

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All JobsChemical Engineering Data Science JobsExecutive Chemical Engineering Data Science JobsExecutive Chemical Engineering Data Science Jobs in Washington

Executive Chemical Engineering Data Science information

What is the difference between Executive Chemical Engineering Data Science vs Chemical Engineering Data Scientist?

AspectExecutive Chemical Engineering Data ScienceChemical Engineering Data Scientist
CredentialsAdvanced degrees (Master's/PhD), management experienceDegree in chemical engineering, data science, or related field
Work EnvironmentLeadership roles, strategic planning, cross-departmental collaborationTechnical analysis, modeling, data analysis within engineering teams
Employer & Industry UsageSenior management in chemical or process industriesResearch labs, engineering firms, manufacturing companies
Search & Comparison IntentUnderstanding leadership vs technical roles in data scienceTechnical data analysis in chemical engineering

Executive Chemical Engineering Data Science professionals focus on strategic leadership, decision-making, and managing data science initiatives within chemical industries. In contrast, Chemical Engineering Data Scientists are primarily involved in technical data analysis, modeling, and implementing data-driven solutions at a technical level. Both roles require strong technical backgrounds, but their responsibilities and work environments differ significantly.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Washington?

The most popular types of Chemical Engineering Data Science jobs in Washington are:

Executive Chemical Engineering Data Science jobs near you

Director, AI Engineering (Data Science)

Blend360

Columbia, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Company Description
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 Description
We 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.

Qualifications
  • 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.

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