The Solutions Engineering team at BOSS is focused on leveraging AI/ML to deliver business solutions for our clients. Our clients span multiple industries and we help deliver value in multiple ways – revenue generation, customer service, marketing optimization, talent management, operational excellence, etc. We work closely with clients to understand the business problem to be addressed, to identify potential solution options and data sources, and finally to build and deliver the solution. As a data scientist, you will work with other team members on the Solutions Engineering team to build AI/ML models and conduct other analyses that will be used by BOSS’ clients to derive business value. You will be accountable for or participate in all stages of model development, from defining the analytical/model approach to data wrangling to model development and selection, to final report and presentation to clients. You will also participate in the continuous improvement of our methodology and help overcome issues and hurdles.


Detailed Duties and Responsibilities

  • Work with clients and BOSS Sales team to identify opportunities for leveraging client data to drive business solutions
  • Work with the solution architect to design and plan the AI model solution approach to address clients’ business problems
  • Obtain data using a variety of data transfer methods and profile data
  • Pre-process data in preparation for modeling and analysis tasks
  • Conduct Exploratory Data Analysis and feature engineering
  • Train AI models using a variety of modeling techniques (e.g., regression, decision trees, deepnets) and python-based libraries (sklearn, pytorch, xgboost, and tensorflow)
  • Evaluate model performance and recommend the most appropriate model to use to meet clients’ business objectives
  • Develop final reports for client submission and review
  • Work with client teams to deploy the developed analysis and models into their workflow
  • Work with BOSS Product team to identify and resolve issues and hurdles to model development
  • Identify opportunities to standardize and streamline modeling and analysis workflow, and work with the rest of the Solutions Engineering team to implement changes


Qualifications

  • A drive to learn and master new technologies and techniques
  • Extreme passion for understanding and anticipating users’ requirements and preferences.
  • Self-starter that has excellent time management skills
  • Comfortable dealing with ambiguity.
  • Highly collaborative, innovative, and creative thinker, with the execution skills to make it all count.
  • Ability to work within an exciting, distributed environment.


We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.

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