Junior Data Scientist

Job description

Are you looking for a great place to work that allows you to be creative and work with a group of individuals who will challenge you to be the best you can be? Do you want to be seen as individual and not just a number? If so, then Lotame may be the right place for you!

Lotame offers comprehensive healthcare benefits on your hire date and a generous paid time off package. There is no waiting period for holiday pay and we offer a flexible hybrid schedule.

Apply today to learn more!

Lotame delivers flexible data solutions to future proof connectivity and drive performance across all screens. Marketers, publishers, and platforms rely on our innovative and interoperable solutions, powered by our identity platform, to onboard, enrich, and address audiences. Lotame is headquartered in the United States and serves global clients in North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.

We are currently seeking a Junior Data Scientist to join our team.

Job Duties:
  • Design, develop, test, and refine the statistical algorithms used to power the world’s leading Data Management Platform, the Lotame DMP;
  • Apply experience in data modeling, data mining and optimization to very large scale data sets, producing solutions to meet Lotame’s product suite;
  • Work alongside other members of the Lotame Data Science team to provide statistical algorithm development and support to a variety of products, including Lotame’s Optimizer and Cross Device;
  • Independently execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and/or solutions to stakeholders;
  • Develop and help to productize predictive models in the areas of performance optimization, behavioral profiling, audience segmentation, and identity resolution;
  • Investigate, propose, and implement new technologies that may enhance Lotame’s data capabilities and efficiency.

Experience and Qualifications:
  • Extensive experience and strong fundamental background in statistical modeling, machine learning, big data analytics, and algorithmic analysis. Ability to select approaches and algorithms to problems and articulate why those specific solutions are appropriate. This requires some experience and theoretical knowledge.
  • Experience implementing algorithms in the following areas: Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms.
  • High level of comfort with data structures, data modeling, replication and distribution, data/object relational database mapping.
  • 2+ (3?) years experience with distributed computing frameworks, specifically Hadoop ecosystem technologies. Experience working with Spark, Amazon EMR, and/or Hive is required.
  • Significant programming experience using SQL and Python. Some Java experience is preferred as well.
  • Understanding of and experience with basic web technologies such as URLs, http(s), html, TCP/IP, JSON, web-based APIs.
  • 2+ years experience working with very large datasets in a cloud (AWS, Azure, Google) environment, including tools such as EMR, S3, and Athena. Experience processing data of a scale which requires distributed computing is required.
  • Bachelor’s Degree in Statistics, Mathematics, Engineering or a closely related field.
  • Master’s Degree preferred

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