Principal Data Scientists
Location
Washington
Posted
7 days ago
Salary
0
Seniority
Senior
No structured requirement data.
Job Description
Principal Data Scientists
T-Mobile
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Senior Director:Data Engineering & Machine Learning
Modus CreateModus Create is a consulting firm founded in 2011 to help clients transform their businesses to succeed in the digital future. Modus Create employs a fully dist
Role Description We are seeking a Senior Director of Data Engineering & Machine Learning to lead and scale our global Data & ML practice. In this strategic leadership role, you will guide distributed teams in architecting modern data platforms and delivering intelligent AI/ML-powered products that drive measurable outcomes across industries. Reporting to the VP of Product Engineering Services, you will bridge deep technical expertise with business vision—shaping data and ML strategy, mentoring leaders, supporting pre-sales engagements, and positioning Modus as a trusted advisor in data, AI, and machine learning transformation. Qualifications - 15+ years of experience in data or software engineering roles, with 7+ years leading Data Engineering or ML teams - Hands-on experience designing and scaling cloud-native data platforms on AWS, Azure, or GCP - Deep expertise with modern data ecosystems including Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes - Experience defining and driving machine learning strategy using platforms such as SageMaker, Azure ML, or TensorFlow - Strong understanding of DataOps, MLOps, CI/CD for data pipelines and ML models - Proven experience in pre-sales, solution design, proposal development, and growing data/ML engagements - Demonstrated ability to hire, mentor, and grow high-performing distributed teams - Strong stakeholder management skills across technical, executive, and cross-functional audiences - Ability to translate complex technical capabilities into measurable business impact - Experience operating in a fast-paced, global, remote-first consulting environment Requirements - Experience integrating partnerships and capabilities across acquisitions - Background in regulated or complex industries such as healthcare, finance, or life sciences - Track record of building modular engineering frameworks, tooling standards, and scalable best practices - Experience positioning AI, security, and DevSecOps modernization within enterprise clients - Demonstrated success creating inclusive, experimentation-driven engineering cultures Benefits - Leading a global Data & ML organization that drives transformative client outcomes - Building intelligent, AI-powered products across diverse industries - Mentoring and empowering the next generation of data and ML leaders - Collaborating cross-functionally with Growth, Partnerships, Operations, and Engineering - Operating in a 100% remote culture grounded in autonomy, mastery, inclusion, and continuous learning Salary Range $200,000 — $240,000 USD
Data Analyst 3
University of WashingtonThe University of Washington is a renowned public research university with a main campus located just minutes from downtown Seattle, and additional locations in
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Role Description We are seeking a Senior Data Analyst to lead data quality, maintenance, and data import processes while helping advance the organization’s analytics capability. You will take ownership of SPARETECH's heart—the Golden Layer—by acquiring, importing, and maintaining spare parts product data to increase its value. You will ensure data accuracy and integrity, design and lead reporting and analytics frameworks, and deliver actionable insights to support business decision-making. - Manage the acquisition, import, and maintenance of product data in SPARETECH's proprietary database while ensuring accuracy and quality. - Conduct thorough quality checks on incoming catalogues and ensure high database integrity by investigating and resolving reported product issues in collaboration with the Data and Partner Management teams. - Work collaboratively across teams to gather business requirements and lead the development of core data reporting and analytics that drive better decision-making throughout the organization. - Take ownership of Product Data Management and Data Acquisition topics, constantly seeking opportunities to improve and optimize our existing structures. Qualifications - 5+ years of experience in data analysis, data management, or business intelligence roles. - Experience developing analytics functions or data capabilities within a growing organization. - Experience designing and implementing data quality checks and governance processes. - Strong analytical, problem-solving, and communication skills. - Proficiency in SQL and advanced Excel skills. - Experience with Python or R for data analysis and automation. - Familiarity with relational databases, non-relational databases, and Metabase. - Familiarity with data processing techniques and tools. - Experience mentoring junior analysts and promoting a data-driven culture across the organization. Benefits - A remote-yes company, where you can decide every day whether you work from home, at our Stuttgart or Munich office, or at any Design Office in Germany. - A permanent employment contract, 30 days of vacation, and the opportunity to participate in the company's success through our VSOP program. - Modern hardware and the frame for a height-adjustable desk. - An annual training budget of 1000 EURO for your professional development. - In Germany: A subsidized job bike to escape city traffic and a Wellpass gym membership to stay active. - A dynamic start-up atmosphere and an international team in which new ideas, creative approaches, and cooperation at eye level are valued. - Corporate Benefits, including discounts on fashion, travel, and much more from various companies.
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