Data Scientist

Data Scientist

Company Description Lotame is a technology company that makes data smarter, faster, and easier to use for digital marketers. Our end-to-end data collaboration platform Spherical empowers thousands of marketers, agencies, and media owners to onboard, access, analyze, and activate the data they need to understand and engage consumers. Our proven commitment to industry interoperability, connectivity, and privacy help drive successful business outcomes for companies on their terms. Lotame is headquartered in the United States and serves global clients in North America, Latin America, Europe, Middle East, Africa, and Asia Pacific.

Responsibilities Assist with and 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 Design, develop, test, and refine the statistical algorithms used to power Lotame's business Apply knowledge and training in data modeling, data mining and optimization to very large scale data sets, producing solutions to meet Lotame's business needs; Develop and help to productize scalable predictive models in the areas of performance optimization, behavioral profiling, audience segmentation, and identity resolution 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 As a part of a hybrid working community, communicate clearly with team members about progress, blockers, and availability.

Qualifications Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master's Degree preferred; equivalent knowledge of statistical modeling, machine learning, etc accepted Strong fundamental understanding of 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 Comprehension of algorithms in the following areas: Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph Algorithms Experience with and/or theoretical understanding of distributed computing frameworks, e.g. Hadoop, MapReduce, MPI. Ideally, some experience with Spark, Amazon EMR, and/or Hive Experience working with datasets in a cloud (AWS, Azure, Google) environment, including tools such as EMR, S3, and Athena, while not required, will be beneficial

Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.