Data Scientist

- 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