About the job
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Design and implement strategies that drive product optimization and efficiency using advanced statistics, machine learning (ML), and programming.
Define success metrics and design frameworks to evaluate product performance and business growth, tracking core metrics and understanding root causes of metrics movements.
Identify operational and strategic issues through advanced monitoring and forecasting methodologies.
Analyze large amounts of information to discover trends and patterns in data through probability and statistical analysis and automate the data collection processes, and present information using data visualization techniques.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Mentor interns and junior-level team members.
Qualifications
Minimum
Must have a PhD degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Statistics, Mathematics, or a related quantitative field, and 4 years of related work experience.
Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing.
Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification.
Developing graphical and visual representations of data using business intelligence tool Excel or Tableau.
Building, tuning, and validating statistical models for regression and classification problems in Python or R.
Preferred
No preferred qualifications listed.