Bachelor Degree Computer Science or related technical discipline, MS / PhD is a plus,
2 + years’ experience in a statistical and/or data science role,
Deep knowledge of machine learning, statistics, optimization or related field,
Proficient in R and/or Python; C, C++, Java experience is a plus,
Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
Excellent written and verbal communication skills along with strong desire to work in cross functional teams.
Your Responsibilities
Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services,
Develops complex models and algorithms that drive innovation throughout the organization,
Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance,
Collaborates with model developers to implement and deploy scalable solutions,
Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders,
Understands business problems and designs end-to-end analytics use cases.