Data Scientist

About the role

OGC Global is a boutique market research and data analysis consulting firm specializing in customer experience analytics, innovation testing and data visualization. It is seeking a Data Scientist to work directly with its international clients, including US-based Fortune 500 companies, and deliver consulting projects to senior stakeholders. The position follows East Coast (ET) hours.

Key responsibilities

• Support quantitative research and consulting projects from start to finish, including project planning, data analysis, modeling and insight-based reporting.
• Work with data scientists, designers and project managers on interdisciplinary projects across industry sectors.
• Analyze complex data sets from large organizations to solve real-world problems.
• Develop data science products and solutions for clients and for the internal team.
• Build, deploy and automate algorithms (classification, regression, forecasting) and support automated reports and analysis.
• Transform large volumes of data from internal and external sources into analysis-ready form.
• Research new data sources, analytical tools and methodologies for data science and data engineering.
• Deliver ad-hoc and standing analyses and give experts' advice on analytical techniques to analysts and sales directors.

Required profile

• Bachelor's degree from a top university; MA/MS in Data Science, Computer Science, Business Analytics or another quantitative field is an advantage.
• 4+ years of professional experience as a project-oriented data analyst or scientist.
• Fluent spoken and written English.
• Strong quantitative background, excellent problem-solving skills and comfort learning new technologies.

Required skills

• Python (high level)
• SQL, Excel (VBA, Power Pivot, Power Query, DAX - an advantage)
• Data visualization (Tableau, Power BI - an advantage)
• Common Python packages for data analysis and modeling (Pandas, NumPy, Scikit-learn, XGBoost, Jupyter, Dask, PySpark, etc. - an advantage)
• Expertise in one or more data science domains (geospatial analytics, dashboards, text analytics, causal inference, cloud computing, etc. - an advantage)