Machine Learning Tools Product Manager

Monitor 360 is the Narrative Analytics™ and strategy company. Our A-list clients include Charles Schwab, PG&E, Pfizer, Salesforce, VMWare, The White House, and the Gates Foundation. Monitor 360 is a revenue-generating start-up, backed by respected investors.

The Machine Learning Tools Product Manager (PM), is responsible for building a set of the Narrative Analytics™ tools and capabilities to drive automation and new offerings. These tools will leverage machine learning, natural language processing, and network science techniques in novel ways to help our customers understand and shape the narratives that matter to them. The PM will provide specifications and work with data scientists and machine-learning experts to design experiments, set goals, and specify ML model requirements. Narrative Analytics is a new space with room for considerable innovation and impact. The PM in this role will have to work through quite a few unknowns and inadequate data points, which requires experience in working through problems and situations that are inherently fuzzy and amorphous. The development of these new and innovative tools will require smart incremental decisions with sound judgment to push development forward. Since the PM will interact with Data Scientists, ML and text analytics/NLP experts, he/she should be able to speak their language, understand/evaluate the toolkits (open source and other vendor tools), and understand/evaluate vendor offerings to assess alignment and fit for building in-house tools and solutions. The path to developing these capabilities involves challenging innovation and multiple unknowns. The PM will have to be innovative, tenacious, and solution oriented to drive positive outcomes using underlying data and advise from data science/ML counterparts. This position is based in our San Francisco office.

* Drive research and development of statistical, machine learning models, network clustering algorithm to develop narrative analytics tools with in-house and outsourced data science and/or machine learning teams * Translate unstructured, complex business problems and tasks into concrete business plans that expedites the development of tools * Conduct deep analysis and use business goals and objectives to align the tool/model development efforts to drive innovation * Ensure that data sets are reliable, accurate, and trustworthy for model development and optimization * Drive the development of analytics products, technology, tools, and visualizations to monitor the performance/validity of metrics with data scientist and/or machine learning experts * Engage with the narrative technology platform team (product and technology) to drive integration of tools, solutions, and/or predictive capabilities onto the narrative technology platform * Lead the prioritization process across all business stakeholders to develop most impactful business priorities

**Essential:** * Analytical mindset to conduct analysis of social, traditional media data and establish relationship and pattern in that data and its associated metadata * Working knowledge of various statistical analysis tools, such as R, Matlab, or SAS, and machine learning and classification algorithms * Experience working in environments with large data sets, distributed computing tools like MapReduce, Hadoop, or other NoSQL experience, and DW/BI using cloud services like AWS and Azure * 6+ years of product management experience, with 2+ years experience working closely with Data Scientists or machine learning team * Degree in Data Science, Computer Science, Statistics, Mathematics, or related field **Desired:** * Background in text analysis tools and techniques (sentiment, classification) * Familiarity with open source tools for machine learning and data mining * Experience with reporting and visualization, using Tableau or other data visualization tools * Exceptional interpersonal and communication skills, with the ability to describe the logic and implications of a complex model to a variety of business partners * Collaborative team player, with empathy for clients and colleagues