Senior Data Scientist - Machine Learning, NLP, R, Python

Primary Responsibilities:

• Researching, designing, implementing and deploying full-stack scalable machine learning solutions to support intelligent operations initiatives
• Conduct hands-on data analysis and predictive analytics on large datasets
• Effectively communicate complex technical results to business partners
• Support and drive analytic efforts around machine learning and innovation
• Work with a great deal of autonomy to find solutions to complex problems
• Design and implement deep learning models for natural language processing
• Collaborate with data engineers to design and implement data pipelines
• Work with software engineers to integrate models into production systems
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelors degree in Applied Mathematics, Physics, Computer Science, Statistics or related technical field
• Hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
• Experience using advanced data science tools such as R, Python, SQL, Spark and H2O
• Experience developing and deploying analytic solutions using AWS/Azure/GCP
• Experience applying computational algorithms and statistical methods to structured and unstructured data
• Experience building end-to-end solutions using deep learning models
• Experience breaking down and clearly defining problems
• Experience communicating highly technical results to a diverse audience
• Demonstrated solid execution mentality

Preferred Qualifications:

• Experience with full-stack development
• Experience with agile development methodologies