Sr. Manager, Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Asurion is seeking for a Senior Manager to join our Data Science team. An individual in this role identifies and solves complex business problems, drives the creation of new data products and analytical capabilities embedded in multiple business applications. Leads a team of data scientists to gather and analyze large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making.

Role and Responsibilities:

• Lead a team of data scientists to build ML/AI solutions that drive business impact
• Develop prototypes for new data product ideas
• Design and deploy complex, optimized and large-scale machine learning algorithms and recommender systems to improve Asurion’s wireless, connected home, and appliance customers’ experiences
• Analyze and interpret the results of product experiments
• Work closely with product managers to identify and answer important product questions that help improve outcomes
• Utilize Natural Language Processing to analyze speech and social data
• Communicate findings to product managers and development groups
• Drive the collection of new data and the refinement of existing data
• Regularly invents new and novel approaches to problems; takes initiative and breaks down barriers to solve problems; recognized within team as the source of solutions.

Qualifications:

• Master's or PhD preferably in an engineering, statistics, technology or science role with at least 2 years work experience.
• Prior experience in leading, mentoring and coaching data scientists
• Prior experience in applying machine learning for customer experience & fraud detection use cases is a plus
• Comfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources
• Comfortable in using advanced statistical data modeling techniques and tools
• Experience using Python and working with large scale systems
• Knowledge of data processing on Hadoop programming environments (e.g. Spark/Hive)
• Familiar with optimization techniques and underlying machine learning algorithms concepts
• Solid statistical knowledge; familiarity with hypothesis testing, experimental design and time series
• Familiarity with Linux/Unix/Shell environments
• Self-driven and able to ask and tackle the most important analytical questions with a view on driving product impact
• A strong passion for empirical research and for answering hard questions with data
• Result-driven and focused self-starters, great communicators that follows through on every initiative
• Love the responsibility of being individually empowered
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner