*Our online application process only takes a few minutes.*

Who is Authenticx?

Authenticx is on a mission to help humans understand humans. Our platform is the new standard for humanizing customer interaction data at scale. We do this by channeling our passion and talent into helping health care leaders listen to their conversational data in a way that delivers value to the enterprise.

What do we offer our team members?

• A culture based on our core values of Authenticity, Courage and Having Fun
• A collaborative environment that supports your personal and professional development
• Remote/virtual working flexibility
• Free health insurance options
• Comprehensive benefits - medical, vision, dental, life, and disability insurance
• HSA and FSA plans
• 401(K)
• Unlimited vacation time
• Generous paid holidays, sick leave, and parental leave
• Perks at Work membership for discounts on shopping, travel and much more

As a Data Scientists at Authenticx, you will:

• Develop machine learning (ML) models using natural language processing (NLP) that will be integrated into our automated processes
• Serve as a technical leader and early adopter of technology while developing new features with varying levels of design specs
• Troubleshoot and resolve issues and provide technical solutions
• Utilizie Python and machine learning (ML) technologies to perform conversational analytics
• Analyze structured and unstructured data and build predictive models using a variety of approaches
• Search through large data sets and transform data to make it more appropriate for analysis  
• Create reports and presentations for business uses  

Our ideal Data Scientist will possess the following skills & qualifications:

Basic Qualifications: 

• B.S. in Mathematics, Economics, Computer Science, Statistics, or another quantitative field 
• 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant school work. 
• Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing 
• Proficiency with Python (Pandas, Numpy, Matplotlib, Scikit-Learn, Spacy, Scipy, etc.) 
• Experience with a deep learning framework (Tensorflow, Pytorch, etc.) and deep learning architectures (RNNs, CNNs, Transformers, etc.) 
• Strong mathematics skills (e.g., Linear Algebra, Statistics)  
• Advanced ability to perform exploratory data analysis and to communicate complex data in a simple, actionable way  
• Experience with SQL, databases, and other data management tools  
• Ability to work independently and with team members from different backgrounds  
• Excellent attention to detail 
• Comfortable interacting with executive level leaders  

Preferred Qualifications: 

• Software-as-a-service (SaaS) and/or healthcare industry experience 
• Experience with cloud technologies a plus (Azure, AWS, GCP) 
• Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.  
• Exceptional technical writing skills  

• This is primarily a remote/virtual position. Local team members may be expected to work on-site occasionally.
• Remote team members may be expected to travel to Indianapolis approximately 2-4x per year based on business needs.
• You must live in the USA. 
• You must be authorized to work in the USA, now and in the future, without requirement of employment visa sponsorship.