Description

At Vitria, you will use your creativity and expertise to apply your machine learning experience to our VIA AIOps product, improving our customers’ operational processes and services. In this role you will:

• Understand our customers’ business problems, industry context, and data sources as well as how our VIA AIOps product addresses them
• Work closely with our customer facing teams, product managers, and engineers to drive analytics based product improvements in our VIA AIOps product
• Build, tune, and evaluate models for real-time time-series analysis, the detection and correlation of anomalies across disparate data sets, etc.
• Incorporate human-generated labels from our customers into your model development
• Propose and evaluate various models to address the needs of our customers and quantify the performance

Skills

• 3+ years of professional experience with data science and end to end data product development including problem definition, solution formulation, model building, productionizing, and delivering measurable impact
• Experience with data science and machine learning/statistical techniques, including regression, classification, ensemble methods, reinforcement learning, analysis of time-series data, and designing and measuring A/B tests
• Strong communication skills and experience distilling and presenting complex analyses into actionable recommendations
• Experience with unsupervised learning, Python, R, Spark ML library and similar technologies
• Domain experience with data networks (data from national telecommunications networks, private data centers, etc.) a plus
• BS Degree required, MS is desirable in Statistics, Math, Operations Research, Advanced Analytics, Computer Science, Engineering or other related area of study

Location: This is a remote position. US based candidates preferred – open to alternate locations