Source description
About the role
Skills and experiences
-
Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
-
Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms.
-
Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.- proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
-
Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services
-
Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)
-
Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
-
Bonus Skills : Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.
About you
You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. An equivalent combination of education and experience will also suffice.
You likely have about 2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.
More at 3B Staffing