Data Scientist

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
• 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

Additional Information

When You Join Us, We’ll Create Something EPIC Together
Lotame is a part of Epsilon, a global data, technology and services company that powers the marketing and advertising ecosystem.

Benefits

• Time to Recharge: Flexible time off (FTO), 15 paid holidays
• Time to Recover: Paid sick time
• Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
• Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Compensation Range

USD $73,500.00 - USD $136,500.00/Annually