Data Scientist

Sobre el puesto

• 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 • 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 All your information will be kept confidential according to EEO guidelines. Match Consulting is a Software Development, Consulting & Recruiting firm helping organizations with their custom software solutions, consulting & recruiting needs to improve business performance. Originally posted on Himalayas

Publicada el 8 nov 2026