Data Scientist

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.
• Experience in data-driven insight development and decision making.
• In-depth experience using machine learning algorithms.
• Strong coding skills.
• 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

Additional Information
All your information will be kept confidential according to EEO guidelines.