About this opportunity
SmartRecruiters, Inc. lists this Data Scientist opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Match Consulting is a Software Development, Consulting & Recruiting firm helping organizations with their custom software solutions, consulting & recruiting needs to improve business performance.
Job Description
Apply knowledge of advanced analytic algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drive productivity.
Use in-depth knowledge of the data science and AI landscape and hands‑on expertise to implement solutions in production environments
Shape advanced conceptual thinking to solve complex or novel situations that have never been dealt with before
Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses
Create and mine datasets in Google BigQuery and other company data sources to support analyses
Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions
Explore new technologies to enhance the Data and Analytics team’s data ecosystem
Aid in the development of best practices used in business metrics analysis
Support process improvement discussions with stakeholders informed by analytical insights
Participate in business partner-facing presentations and meetings as needed
Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines
Qualifications
Bachelor’s / Master’s degree / Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
Typically, 3+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience.
In-depth experience using machine learning algorithms.
Experience with deploying models into production with formal MLOps frameworks.
Experience with distributed computing languages (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML).
Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Perl) and machine learning /deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML, Huggingface).
Collaboration & team skills; with a focus on cross-group collaboration
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.