Principal Data Scientist

Requisition Number: RR-0004777

Position Title:

External Description:

*This position does require candidates who are local to the Seattle, WA metro area or willing to relocate to the Seattle, WA metro area. No C2C allowed*

ROLE

• Leads the design and implementation of advanced analytics methodologies to address complex business challenges.
• Oversees and executes end-to-end analyses, including data acquisition, processing, exploratory analysis, modeling, validation, and presentation of actionable insights.
• Drives enterprise data enrichment strategies by integrating internal and external data sources to generate deeper insights.
• Defines and implements data collection enhancements to ensure relevance and quality for advanced analytical systems.
• Develops and deploys cutting-edge automated anomaly detection systems, ensuring real-time monitoring and model performance tracking.
• Acts as a strategic partner to senior stakeholders across the organization to understand complex business needs, frame problems, and identify opportunities for leveraging data to achieve measurable outcomes.
• Establishes and advocates for robust data structures, metrics, and governance standards to enable scalable and reliable analytics solutions.
• Provides mentorship and peer reviews for the work of other data scientists and analytics professionals to maintain high-quality standards.
• Leads the application of AI, machine learning (ML), and advanced analytics approaches to optimize revenue, reduce costs, and enhance customer/member experiences.
• Designs, builds, and deploys AI/ML/DL models at scale, focusing on driving innovation and achieving business objectives.
• Leads the development of cutting-edge generative AI (GenAI) solutions using large language models (LLMs).
• Frames and prioritizes hypotheses for solving strategic business problems, leveraging robust statistical and ML methods.
• Continuously evaluates and improves the effectiveness, accuracy, and scalability of AI/ML models, incorporating new data sources and methodologies as needed.
• Communicates analytical findings effectively through advanced storytelling and visualization tailored to executive-level audiences.
• Designs and oversees rigorous A/B testing frameworks for model evaluation and business experimentation, providing actionable recommendations.
• Leads back-testing initiatives to validate model performance and improve forecasting accuracy.
• Drives the development and adoption of enhanced AI/MLOps frameworks, including experiment tracking, CI/CD pipelines, and scalable deployment.
• Leads cross-functional collaborations to ensure data readiness, including advanced data wrangling, feature engineering, and preparation.

REQUIRED QUALIFICATIONS

• 10+ years of experience applying advanced AI/ML/DL methodologies to solve high-impact business problems, with a proven track record of delivering measurable business value.
• Demonstrated expertise in designing and deploying ML models at scale in production environments.
• Advanced proficiency in SQL, PySpark, Python, and frameworks for machine learning and deep learning.
• Expertise in data visualization tools (e.g., Power BI, Tableau) to effectively communicate insights.
• In-depth experience with machine learning platforms such as Databricks, GCP, Azure, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Advanced knowledge of AI/ML methods across retail, supply chain, pricing, and inventory optimization, including deep learning and neural networks.
• Proficiency in MLOps practices, including CI/CD for ML pipelines, experiment tracking (e.g., MLflow), and model lifecycle management.
• Demonstrated ability to lead initiatives that integrate diverse data types on cloud platforms to deliver innovative solutions.
• Strong knowledge of Agile methodologies and experience working within Agile teams.
• Proven ability to translate complex technical concepts into actionable business strategies, with exceptional communication and storytelling skills.

RECOMMENDED QUALIFICATIONS

• 12+ years of experience, with a Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred).
• Experience designing scalable, repeatable analytics solutions in cloud-based environments like Databricks or similar platforms.
• Background in retail or consumer goods industries, with a focus on applying advanced analytics to business operations.
• Strong software development skills and familiarity with modern data engineering practices.
• Demonstrated passion for driving business value through experimentation, A/B testing, and analytical curiosity.

Remote: 0

City: McLean

State: Virginia

Ext Portal Job Header:

Community / Marketing Title: Principal Data Scientist

Company Profile:

EEO Employer Verbiage: <p>Join a workplace that thrives on collaboration and support, consisting of individuals who are not only experts in their fields but also kind, smart, fun, and passionate about what they do. Teamwork isn't just encouraged – it's the way we operate.</p> <p>At Randstad Digital Advisory, we strive to provide opportunities to learn and grow, from on-the-job coaching to online courses to continuous feedback.</p> <p>Our employees have the autonomy to do their best work, using their skills to make a meaningful impact both within the team as well as for our diverse clientele.</p> <p>We offer attractive pay, a well-rounded benefits package, and flexible working arrangements (including work-from-home when possible).</p>

CountryEEOText_Description: We are proud to be an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Celerity is committed to providing veteran employment opportunities to our service men and women.