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Staff Data Scientist Mozilla
Houston, TX5 days ago
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Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Business Intelligenceunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Consultingunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Customer Relationsunmatched
- Customer/Client Researchunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Dockerunmatched
- Documentationunmatched
- Enterprise Data Integrationunmatched
- GCP (Good Clinical Practices)unmatched
- Gitunmatched
- Leadershipunmatched
- Machine Learningunmatched
- Machine Toolunmatched
- Management Strategyunmatched
- Mathematicsunmatched
- Mentoringunmatched
- Microsoft Windows Azureunmatched
- Model Validationunmatched
- Multitaskingunmatched
- Natural Language Processing (NLP)unmatched
- People Managementunmatched
- Power BIunmatched
- Project Trackingunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- SQL (Structured Query Language)unmatched
- Source Code/Configuration Management (SCM)unmatched
- Statisticsunmatched
- Storytellingunmatched
- Tableauunmatched
- Technical Presentationunmatched
- Unstructured Dataunmatched
Description
We are seeking an exceptional Senior Data Scientist to join us full-time in our Artificial Intelligence (AI) Practice Team. In this role, you will lead the design and delivery of analytics and machine learning solutions across policy, data, and document-centric AI engagements, working with complex real-world datasets from industrial and asset-intensive domains.
Location:
This position can be based in Houston, Texas; Knoxville, Tennessee; or Washington, DC.
What You Will Do:
Education and Experience
This role reports to the Project Manager and does not include direct reports.
Salary Range:
$100,000 - $150,000 USD
Starting salary is based on multiple factors including skillset and experience.
Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.
Location:
This position can be based in Houston, Texas; Knoxville, Tennessee; or Washington, DC.
What You Will Do:
- Lead the preparation, exploration, and analysis of client data (tabular, time-series, and document-based) to enable robust modeling, feature engineering, and insight generation.
- Design, implement, and validate machine learning models and analytics pipelines, including problem framing, model selection, evaluation, and iteration for real-world performance.
- Drive advanced use of NLP and document understanding techniques to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources.
- Build and maintain clear, impactful dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders.
- Collaborate with consultants and domain experts to translate business problems into analytical solutions, articulate trade-offs, and present recommendations to technical and non-technical audiences.
- Ensure technical quality, reproducibility, and governance by establishing good practices for code, documentation, data management, and model tracking across projects.
- Mentor and support junior data scientists, providing guidance on methods, tooling, and best practices, and reviewing their work for quality and consistency.
Education and Experience
- Bachelor's degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master's degree preferred or equivalent experience.
- 5+ years of experience applying data science and machine learning in professional settings, including end-to-end delivery of analytics/ML solutions.
- Proven track record working with real-world, messy datasets (including unstructured/document data) across the full lifecycle: data preparation, modeling, evaluation, and deployment handoff.
- Experience leading or owning significant workstreams within AI/ML or analytics projects, ideally in consulting, industrial, or asset-intensive environments.
- Practical experience working with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and integrating with enterprise data sources and workflows.
- Deep proficiency in Python for data science (pandas, scikit-learn, and related libraries) and strong SQL skills for working with relational and analytical data stores.
- Strong grounding in statistics, machine learning, and model evaluation, including supervised/unsupervised methods, feature engineering, and performance diagnostics.
- Hands-on experience with NLP and document understanding (e.g., text preprocessing, embeddings, classification, information extraction, transformers/LLMs) applied to real datasets.
- Ability to design and implement robust, maintainable analytics and ML pipelines, using notebooks and production-ready code with Git-based version control.
- Familiarity with modern data and ML tooling (e.g., Databricks, MLflow, Docker, CI/CD for data/ML) and good practices for experiment tracking and reproducibility.
- Proficiency with BI/visualization tools (e.g., Power BI, Tableau) and data storytelling skills to communicate complex analytical results to non-technical stakeholders.
- Excellent communication and stakeholder engagement skills, with the ability to frame analytical approaches, explain trade-offs, and align solutions with business objectives.
- Proven ability to work across multiple projects, manage priorities, and operate in a fast-moving, consulting-style environment, while mentoring junior team members.
- Nice to have: exposure to industrial, maritime, or asset-intensive domains, or prior experience in AI consulting or client-facing roles.
This role reports to the Project Manager and does not include direct reports.
Salary Range:
$100,000 - $150,000 USD
Starting salary is based on multiple factors including skillset and experience.
Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.
Numbers & Facts
| Location | Houston, Texas |
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