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Data Scientist

Philadelphia, 19019 On-site Posted 6 hours ago

OGC Global

Opportunity published from Recruitee · applications stay with the original hiring source.

Source verified 6 hours agoThe original job page was active during UpVagas' latest lifecycle check.

About the opportunity

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

We help international clients, particularly US-based Fortune 500 companies in industries such as Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software, become more insightful, create happier end customers, and uncover growth opportunities.

In this role, you will work directly with clients and senior stakeholders to deliver consulting projects, leveraging data to drive strategic decisions and business improvements. This position follows East Coast (ET) hours and uses an on-site work model.

Key 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.
  • Work on complex and varied data sets from some of the world’s largest organizations to solve real-world problems and develop data science products and solutions for clients and our internal team.
  • Lead 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, while performing complex data analysis in support of ad-hoc and standing requests.
  • Provide an expert point of view on analytical techniques and guidance to our analysts and sales directors.

Qualifications

  • Bachelor’s degree from a top university, with fluency in reading, writing, and speaking English idiomatically.
  • 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, supported by a strong quantitative background.
  • Diverse technical skills including high-level Python, modeling/machine learning, statistics, and SQL.
  • Demonstrated experience with common Python packages for data analysis and modeling including Pandas, Numpy, Scikit-learn, XGBoost, Jupyter, Dask, and PySpark.

Nice to have

  • MA/MS in Data Science, Computer Science, Business Analytics, or other quantitative field.
  • Excel proficiency including VBA, Power Pivot, Power Query, and DAX.
  • Data visualization experience with Tableau or PowerBI.
  • Expertise in one or more specific data science domains such as geospatial analytics, dashboards, text analytics, causal inference, or cloud computing.

Job details

  • Location: On-site model, following East Coast (ET) hours.

About the company

OGC is a boutique market research and data analysis consulting firm.

We employ a hands-on approach to research and consulting by following a comprehensive discovery process, applying advanced analysis techniques using state-of-the-art tools, drawing conclusions collaboratively in cross-functional teams, and utilizing workshops to foster action.

Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.

Source transparency. UpVagas organizes information provided by the company or recruitment source. Always review the original listing before submitting personal information.
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