About Monitor 360
Monitor 360 is not an ordinary analytics company, or an ordinary software startup. At the core of our unique solution is a rapidly emerging technology category called Narrative Analytics. This unique human-in-the-loop technology, where human analysts work in tandem with the most powerful artificial intelligence algorithms, goes beyond basic NLP techniques like sentiment analysis, text categorization, etc.
Narratives are underlying beliefs and attitudes that drive human behavior. In commerce, politics, and society, media voices are multiplying, facts are losing their currency, and narratives are filling the void to drive people’s attitudes and behavior. Global corporations and foundations contend with narrative challenges that pose great opportunity and also existential challenges to their business models. These organizations need new ways to change the conversation, build their brand and reputation, and understand and activate their customers. We are the only company to bring a robust data-driven solution to the analysis of narratives. Our growing customer list, including Citibank, HPE, Microsoft, Starbucks, WB, State Street Global Advisors, Mars, General Mills, Pfizer, Charles Schwab, PG&E, VMWare, The Gates Foundation, Rockefeller Foundation, and more, all provide validation to our unique approach. .
At Monitor 360 we have 10 years of experience with qualitative (human) analysis of narratives and have deep in-house expertise of how to identify, analyze, structure and understand narratives in news and social media. We marry that qualitative expertise with deep expertise in NLP and machine learning (deep learning, LSTM, etc.), to bring scale, efficiency, and new insight to our long-standing methods. Through this process we deliver a more nuanced, complex and valuable set of insights to our customers than traditional NLP and analytics companies. This vast knowledge and background in narratives positions Monitor 360 as a market and thought leader in this emerging category that delivers the richness of insight of traditional research, with the scale and efficiency of social
We are a revenue-generating start-up, backed by respected investors. We are looking for high-energy team members who embody our values of drive, generosity, exploration, and joy.
Reporting to the Director of Data Science, the Senior Data Science Engineer is responsible for building the Narrative Analytics™ tools and capabilities that drive automation, using machine learning and network science techniques, to achieve operational scale and develop new solutions by analyzing textual/unstructured content. This person will also be responsible for uncovering new insights (causation, correlation, etc.) in the underlying data (both numeric and textual) by applying data engineering practices, statistical modeling, and effective visualizations to present those insights. The role will require flexibility in learning new statistical and mathematical models, designing new experiments, creating and fine-tuning models to deliver narrative analytics process automation, and develop new insightful metrics. As a senior DS engineer, this person will be mentor to other junior DS engineers and will actively work with client facing teams in understanding pain points and brainstorming solutions.
The Senior Data Science Engineer in this role will work through quite a few unknowns and inadequate data points that will require him/her to calibrate the experiments and make and effectively communicate choices and tradeoffs to the Product Manager and other members of his team. The person also need to be aware of the vendor landscape and open source tools and technologies to leverage existing capabilities and build new capabilities on top of what’s available.
Since the path to developing the components may be difficult, Senior Data Science Engineer will need to be innovative, tenacious, and solution-oriented to drive positive outcomes. This position is based in our San Francisco office.