Data Science / Machine Learning
Socious is an impact gig marketplace powered by blockchain and AI.
Socious Inc. was founded in July 2021 and is looking to grow it's team. As a founding member of Socious Inc., you will be at the forefront of this transformational technology assisting social change makers and in growing the company with the CEO.
As a member of Socious Inc. you will be at the forefront of this transformational technology assisting social change makers. You will be building a recommender engine for the Socious app. Resposibilities include:
You will work directly with the engineering teams within Socious Inc. This role will work closely with engineers to develop and run statistical models to understand user behaviors and provide the most relevant matching recommendations.
You will collaborate directly with finance and business leaders to produce modeling solutions, partner with software developers to build end-to-end data pipelines and production code, and have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
You will analyze large amounts of business data, automate, and scale the analysis, and develop metrics that will enable us to continually delight our users worldwide. As a successful data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.
Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities.
You will build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques; utilize SQL and code (Python, R, etc.) for analyzing data and building statistical models to solve specific business problems; improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
To apply, please download the Socious app and apply directly through the 'Projects' tab