OGC Global is hiring a
Senior Data Scientist

Summary

OGC is a market research and data analysis consulting firm seeking a Senior Data Scientist to join their team. The ideal candidate will work on quantitative research and consulting projects, develop data science products and solutions, and communicate insights to clients. They should have a strong analytical background, excellent problem-solving skills, and a deep familiarity with data analysis and quantitative research methodologies.

Requirements

• Bachelor’s degree from a top university
• MA/MS in Data Science, Computer Science, Business Analytics, or other quantitative field - An advantage
• 4+ years of professional experience as a project-oriented data analyst or scientist
• Excellent problem-solving skills with the ability to analyze issues, identify causes, and recommend solutions quickly
• Strong quantitative background with a high comfort level for learning new technologies
• Diverse technical skills including: Python (High Level), Modeling/Machine Learning, Statistics, SQL, Excel (VBA, Power Pivot, Power Query, DAX - An advantage), Data Visualization (Tableau, PowerBI - An advantage)
• Demonstrated experience with common Python packages for data analysis and modeling; including Pandas, Numpy, Scikit-learn, XGBoost, Jupyter, Dask, PySpark, etc. - An advantage
• Expertise in one or more specific data science domains (geospatial analytics, dashboards, text analytics, causal inference, cloud computing, etc.) - An advantage
• Must speak and write English fluently and idiomatically

Responsibilities

• Support the execution of quantitative research and consulting projects from start to finish including project planning, data analysis, modeling, and building insights-based reports
• Work with other data scientists, designers, and project managers on interdisciplinary projects using your skillset to derive structure and knowledge from raw data across various industry sectors
• Develop data science products and solutions for clients, as well as for our internal team
• Client Communication and engagement including building and delivering insights-based reports
• Build, deploy and automate various algorithms (classification, regression, forecasting) and support the production of automated reports and analysis
• Transform large volumes of data from internal and external sources in a manner suitable for analysis
• Research new data sources, analytical tools, and methodologies for data science and data engineering
• Perform complex data analysis in support of ad-hoc and standing requests, focusing on delivering key insights
• Provide an expert point of view on analytical techniques and guidance to our analysts and sales directors