Who is Authenticx?
Authenticx is on a mission to help humans understand humans. Our software 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
Position Summary
Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an early-career engineer eager to grow technical depth and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.
As a Data Scientist at Authenticx, your responsibilities will include:
- Utilizing Python, SQL, and machine learning technologies to perform conversational analytics.
- Analyzing structured and unstructured data and building predictive models using a variety of approaches.
- Searching through large data sets and transforming data to make it more appropriate for analysis
- Creating reports and presentations for business uses
- Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.
Key Metrics
- Delivery of assigned feature work on time and within quality standards.
- Consistent adherence to code review and documentation standards.
- Resolution of assigned defects and production issues within established SLAs.
- Contribution to overall system reliability, uptime, and performance goals.
- Demonstrated growth in technical proficiency and cross-team collaboration.
**Qualifications
Basic Qualifications:**
- Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
- Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
- Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
- Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
- 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
- Comfortable interacting with executive level leaders
- Strong communication skills and eagerness to learn in a collaborative, fast-paced SaaS environment.
- Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns
- B.S. in Mathematics, Economics, Computer Science, Statistics (or equivalent practical experience).
Preferred Qualifications:
- Experience as a Data Scientist, Machine Learning Engineer
- Software-as-a-service (SaaS) and/or healthcare industry experience
- Experience with cloud technologies a plus (Azure, AWS, GCP, Kubernetes)
- Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment
- Data Visualization and Monitoring technologies a plus (Matplotlib, Seaborn, Pyplot, WandB)
- Experience with time series forecasting or anomaly detection a plus
- Familiarity with Docker and Scripting a plus
- Exceptional technical writing skills
How You Work
- Curious and Coachable: You seek feedback, ask questions, and thrive in a learning culture.
- Collaborative: You communicate clearly and partner well with peers across disciplines.
- Reliable: You follow through on commitments and contribute to system stability.
- Detail-Oriented: You care about accuracy, maintainability, and performance.
- Mission-Driven: You connect your technical work to the Authenticx mission — helping humans understand humans.
Work Environment
- This is a remote/virtual position.
- You must live in the United States of America.
- You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
- Occasional travel to Indianapolis may be required (approximately 2–4 times per year) based on business needs.
Limitations
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Employees will follow any other instructions and perform other related duties, as assigned by their manager. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.