HighlightTA is hiring a Senior Data Scientist to drive the development of advanced machine learning and AI solutions for customer-facing features in our retail SaaS platform. In this role, you will have end-to-end ownership, from problem definition through deployment and optimization.
What You'll Do
- Design, develop, and deploy end-to-end ML models for customer-facing features using NLP, generative AI, and traditional ML.
- Partner with cross-functional teams to translate business problems into well-defined ML problems.
- Own the full model lifecycle: data exploration, feature engineering, model design, training, evaluation, deployment, monitoring, and maintenance.
- Build and maintain scalable pipelines and APIs for model inference and integration into production systems.
- Collaborate with Product Managers and Engineers to deliver production-ready ML features.
- Apply modern NLP and LLM methodologies to improve communication and content understanding in retail workflows.
- Participate in deployment, experimentation, and continuous model improvement.
- Communicate results and insights effectively to both technical and non-technical stakeholders.
- Stay ahead of trends in AI, ML, NLP, and LLMs to evolve technical capabilities.
- Explore reinforcement learning techniques where applicable to optimization problems.
What We're Looking For
- 6+ years of experience as a Data Scientist with expertise in designing and deploying production ML systems.
- Strong proficiency in Python and SQL.
- Deployment stack experience (e.g., AWS, GCP, Docker, MLflow, FastAPI, Vertex AI).
- Deep understanding of NLP and LLM techniques and frameworks (e.g., Hugging Face, LangChain, PyTorch, TensorFlow).
- Proven experience taking models from concept to deployment.
- Familiarity with ML Ops practices, including model deployment, versioning, monitoring, and retraining.
- Ability to communicate complex technical concepts clearly to diverse audiences.
- Strong problem-solving skills and track record of delivering results independently and collaboratively.
- Passion for innovation and using data science to create tangible impact.
Technical Stack
- Python, SQL
- AWS, GCP
- Docker, MLflow, FastAPI, Vertex AI
- Hugging Face, LangChain, PyTorch, TensorFlow
Team & Environment
You'll be part of a Data Science team, working closely with Product, Engineering, and Business stakeholders.
Benefits & Compensation
- Remote-first culture
- Stock Options
- Flexible time-off policy
- Monthly stipend
- Comprehensive medical, dental, and vision policies
- Annual company off-sites
- One month paid sabbatical after five years
- Paid volunteer day each quarter
- Unlimited access to Udemy Business account
Work Mode
This role is global and remote-first, open to candidates in the U.S., Canada, and around the globe.
We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.
