This is a direct-client opening for a Sr. Data Scientist located in Seattle, WA. This is a full-time position and the salary will depend on experience. Local candidates are highly preferred.
Our client is looking for a passionate Sr. Data Scientist to join our team. If you are excited by the opportunity to solve real world problems for millions of customers, using advanced modeling techniques, we want to hear from you.
This is a high visibility role that will provide leadership on all aspects of our data science initiatives and technologies. You will present results to senior executives and provide insights on the best ways for data science to transform the jewelry industry. You will set and deliver strategic roadmaps, and advocate across the organization for transformational power of data science approaches. You will collaborate with talented engineers to bring your models to life in features which impact both customers and the business bottom line. You will partner with a strong analytical organization to evaluate our business and find new opportunities for optimization.
Understand customer and business challenges and propose innovative modeling/algorithmic solutions that leverage the latest statistical and machine learning techniques.
Collaborate with product managers, business owners, and engineers to design, develop and deploy production solutions that incorporate model building, runtime scoring, and performance monitoring.
Evaluate, document, and manipulate large volumes of data.
Write concise, well documented modeling code.
Continuously debug and correct model assumptions though testing and hold out sample evaluation.
Develop a strong knowledge of our technology systems and provide consultation on architecture improvements to support data science driven features & approaches.
Communicate complex concepts and results in an easily consumed manner across the organization including to senior executives and the board of directors.
Stay up to date on research and industry trends, and identify technical areas for opportunity and lead innovation projects that demonstrate value.
Participate in the recruiting, hiring decisions, and mentoring of future Data Science team members.
Advanced degree in a quantitative field such as economics, computer science, engineering, or statistics.
5+ Years of experience building and optimizing predictive models in a production consumer website environment.
Deep understanding of probability, statistics and machine learning theory including hands on experience in: Clustering, Decision Trees, Logistic Regression, Dimensionality Reduction, Random Forests, and Neural Networks for prediction and recommendations.
Excellent command of Statistical Computing Package (R, SAS, SPSS, etc.) including production implementation of output models using custom code or PMML.
Experience with Python and related Machine Learning libraries (pandas, scikit-learn, etc.)
Proficiency with SQL-like query languages to do data extraction, transformation, and loading
Broad understanding of databases (e.g. Oracle PL/SQL, Mongo), and high-performance or distributed processing (e.g. Hadoop, Spark)
Ability to work across multiple simultaneous projects with stakeholders to assess needs, implement solutions, and provide communications to both technical and non-technical audiences.
Passion for solving ambiguous and meaningful real-world problems using a collaborative approach and a rigorous statistical, data-driven mindset.
Experience interviewing and hiring high performing team members.