Sr. Data Scientist Specialist; Remote

Position: Sr. Data Scientist Specialist (Remote)
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The Sr Data Scientist executes statistical and mathematical analyses to support business decision-making. This role supports artificial intelligence/machine learning (AI/ML) in a deployed production environment. They are experts in the field of Data Science.  Consequently, the Sr Data Scientist proactively works with cross-functional teams to seek and understand the business/domain context of potential problems that may be solved using ML.  They present data science solutions to stakeholders in an iterative fashion.  

The Sr. Data Scientist works with Associate Data Scientists and Data Scientists in converting a business problem into an ML problem and kickstarting foundational work including data exploration, feature engineering, basic hypothesis testing, and creation of baseline models. They create the model feasibility document in close collaboration with the Data Scientists and Sr Data Scientists.  The Sr Data Scientist may have direct reports including Associate Data Scientists and Data Scientists.

This position is remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.

** ESSENTIAL DUTIES AND RESPONSIBILITIES*
* As a Sr Data Scientist, you will be expected to:

+ Work with Associate Data Scientists and Data Scientists in researching data sources, data cleansing, feature engineering, and creating baseline models

+ Independently manage multiple data science model development/projects

+ Collaborate and engage with various cross-functional stakeholders to ensure close coordination between data science and business stakeholders including the product management team

+ Provide full ownership of the model development from inception to implementation including the machine learning pipeline, documentation, model drift, and remodeling strategy

+ Mentor the Associate Data Scientists and Data Scientists in data science knowledge and their interactions with other stakeholders

+ Coordinate with the ML team, anticipating deployment issues upfront, setting the stage for resource requirements, and ensuring the success of model deployment and retraining

+ Take and delegate ownership of critical tickets or issues faced by business stakeholders as assigned by the Lead Data Scientist or Director of Data Science

+ Read and independently navigate through extensive codebase with a focus on troubleshooting, debugging, and/or improvement of code

+ Contribute to coding standards and coding conventions and proactively participate in enforcing sound coding practices across the data science team

+ Create and maintain documentation of the ML models, data sources, and methodology

+ Assist in the creation of feasibility documents

+ Proactively participate in the core team processes including R&D, recommending, and implementing process improvements or new methodologies

+ Share knowledge with other various teams and members by presentation at periodic internal team sessions/workshops

+ Guide usage of development methodologies (Scrum, Kanban, etc.)  and assist in their implementation in the group projects by deciphering details including features, tasks, estimates of efforts and timing, etc.

** RELATIONSHIPS*
* +  
** Internal:
** Associate Data Scientists, Data Scientists, Lead Data Scientists, Principal Data Scientists, and Director of DS.

** WORK ENVIRONMENT*
* + Remote

** MINIMUM QUALIFICATIONS*
* As a Sr. Data Scientist, you have:

+ Master's degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data science

+ Effective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members and cross-functional teams

+ An expert-level understanding of the following topics:

+ Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging (e.g., Random Forests), Boosting (e.g., Ada Boost, Gradient Boosting), Neural Networks and Deep Learning, Model…