Role and responsibilities:

Asurion is seeking for Data Scientists to join our Data Science team. Individuals in this role will identify and address complex business problems, design and drive the creation of new data products and analytical capabilities embedded in multiple business applications.

Qualified candidates will also gather and analyze large volumes of data, evaluate scenarios to make predictions on future outcomes and support decision making for the business. Lastly, candidates must be able to use advanced statistical data modeling techniques and tools.

In this role you will:

• Use business acumen to create solutions and strategies roadmap for problems and make best practice recommendations
• Be responsible for using analytic techniques like advanced data visualizations, machine learning, Natural Language Processing and large-scale optimization to improve Asurion’s wireless and retail customers’ experiences
• Work closely with product managers to identify and answer important product questions that help improve outcomes
• Interpret problems and provide solutions using appropriate data modeling techniques
• Develop prototypes for new data product ideas
• Design large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models, and Machine Learning algorithms
• 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
• Analyze and interpret the results of product experiments
• Regularly invent new and novel approaches to problems; Take initiative and break down barriers to solve problems
• Manipulate and analyze complex, high-volume, high dimensionality data from multiple sources
• Bring a strong passion for empirical research and for answering hard questions with data
• Communicate complex quantitative analysis in a clear, precise, and actionable manner

• Master’s or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field
• Familiarity with common advanced analysis tools - SQL, Python, R, SAS are preferred
• Demonstrated familiarity (work experience, GitHub account) with OOP concepts. Python, Java, Scala skills is a big plus
• Machine Learning, Deep Learning, NLP experience and working in Hadoop and/or Spark environment
• Ability to ask and tackle the most important analytical questions with a view on driving product impact
• A driven, focused, self-starter mentality with effective communication skills and amazing follow-through skills
• Familiarity with digital audio signal processing is a plus