Data Scientist

Match Consulting; Seattle (WA); On-site; USD 95,000 - 130,000; Full time

Job summary

Match Consulting, located in Seattle, is looking for a Data Scientist with advanced analytics expertise. The successful candidate will apply machine learning and AI techniques to enhance business solutions and improve customer experience while supporting a team focused on data quality.

The ideal applicant will have a Bachelor’s, Master’s, or Ph.D. in a quantitative field and at least 3 years of relevant experience, including deployment of models in production environments.

Qualifications

• 3+ years of relevant experience in data science or related field.
• In-depth experience using machine learning algorithms.
• Experience with deploying models using formal MLOps frameworks.

Responsibilities

• Apply advanced analytics to deliver predictions and automation.
• Implement data science solutions in production environments.
• Create and mine datasets for analysis in Google BigQuery.

Skills

Machine learning algorithms

Cloud technologies (AWS Sagemaker, AzureML)

Programming languages (SQL, Python, R)

Collaboration & team skills

Education

Bachelor’s / Master’s degree / Ph.D. in Computer Science or related field

Tools

Google BigQuery

MLOps frameworks

Distributed computing languages (Hive/Hadoop/Spark)

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