Data Scientist 2

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

As the world’s leading tech-care company, Asurion eliminates the fears and frustrations associated with technology to ensure our 300 million customers get the most out of their devices, appliances, and connections. Whether we’re creating protection plans to cover every device and appliance, performing on-the-spot repairs and same-day replacements, or providing support and solutions for our experts and apps - our aim is to be delightfully simple, remarkably human, and actually helpful. Why? Because we care for people and their tech - whenever, wherever, however.

The Data Scientist II’s primary responsibilities are to develop business intelligence products and perform analyses in support of Asurion Data Science (DS) Team. Our team identifies and addresses complex business problems and drives the creation of new data products and analytical capabilities across multiple applications. The candidate will primarily provide analytical support, including opportunity sizing and impact analysis, and a robust reporting infrastructure for multiple DS efforts geared toward improving business efficiency and customer experience. This role is not a pure operational analytics role – statistical, exploratory, and advanced analytics skills will help propel our use cases. Candidates will display data analysis skills and present compelling insights that drive business decisions. Ideal candidates seek to apply advanced analytics and machine learning techniques to maximize impact and efficiency.

Essential Duties and Responsibilities:

• Serve as data, analytics, and problem-solving SME to support strategic projects
• Utilize business intelligence tools and analytic skills to develop reports, create dashboards, and deliver data products to identify opportunities and drive actionable outcomes
• Conduct in-depth insights-focused analysis to support the expansion, development, and optimization of Data Science efforts
• Leverage advanced analytics, including text and voice analytics, to drive business value
• Design large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models, and Machine Learning algorithms.
• Tell a story with data through visualization
• Analyze and interpret the results of product experiments.
• Develop prototypes for new data product ideas using Machine Learning, Deep Learning & AI.
• Be an expert in the collection, aggregation, and presentation of data from disparate sources through the ability to write complex queries and develop dashboards
• Collaborate with cross-functional teams to understand business problems, gather business requirements, and deliver data/reporting products
• Drive the collection of new data and the refinement of existing data.
• Own the integrity of work and actions; operate with a high degree of autonomy in a direct support relationship to primary customers and meet all requirements with minimal management oversight
• Clearly communicate findings to help inform next steps

What You’ll Bring to The Team:

• Bachelor’s degree in MIS or Quantitative Disciplines (e.g., Statistics, Computer Science, Operations Research, Business Analytics)
• At least 2 years’ experience using analytics to solve business problems
• Desire to work in a results-oriented, fast-growth environment
• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
• Superior quantitative and analytical skills and a passion for achieving practical business impact
• Strong interpersonal skills including confidence in dealing with people at all levels of the organization, ability to manage intake, and presenting insights
• Proficiency with SQL queries, Excel, and PowerPoint required
• Experience with relational databases and query tools required
• Experience with common data science languages/tools (e.g., R, Python, SAS, JMP), required
• Experience with data visualization and presentation tools, particularly Power BI, preferred.
• Understanding of statistical concepts and experience in applying techniques (Random Forest, SVM, NLP), preferred