OGC is a boutique market research and data analysis consulting firm specializing in customer experience analytics, innovation testing, and data visualization. We are seeking a Data Scientist to join our team.

Our mission is to help our clients become more insightful, create happier end customers, and uncover opportunities to grow their businesses. We employ a hands-on approach to research and consulting: we follow a comprehensive discovery process, apply advanced analysis techniques using state-of-the-art tools, draw conclusions collaboratively in cross-functional teams, and utilize workshops to foster action.

Our client portfolio is international, with a focus on US-based, Fortune 500 companies, across a variety of industries such as Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software.

This position follows East Coast (ET) hours.

The ideal candidate for this position is a bright, independent, detail-oriented individual, with a strong analytical background, who is passionate about using data to help customers drive strategic decisions and business improvements. They are a methodological problem solver who is driven by curiosity to find answers to challenging puzzles. We are looking for a candidate who loves working with people, has an excellent business acumen, and who is always eager to learn. Our data scientists are self-starters, with a strong technical background and a deep familiarity with data analysis and quantitative research methodologies.

In this role, you will work directly with our clients and deliver consulting projects to senior stakeholders, with the end goal of leveraging data to help our clients drive strategic decisions and business improvements. This position provides an excellent opportunity to apply your strong analytical background to the Market Research and Customer Experience domain while working directly with global, Fortune 500 companies.

Responsibilities include

• 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

• Work on complex and varied data sets from some of the world’s largest organizations to solve real-world problems

• 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

• Bachelor’s degree from a top university

• MA/MS in Data Science, Computer Science, Business Analytics, or other quantitative field - An advantage

• 3-5 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