Role overview
We are seeking an innovative, hands-on
**Data Scientist**
with
**7+ years of experience**
in AI/ML, NLP, data modeling, and cloud engineering. This role focuses on building prototypes and emerging technology solutions—especially
**LLMs and GenAI**
—that solve complex business problems in cloud-native environments.
This position is
**fully remote**
and can be performed from anywhere within the continental United States.
**Required Qualifications**
* **Bachelor’s degree in computer science**
, Data Science, Statistics, Mathematics, Engineering, or a related field; additional experience may substitute.
* **7+ years of experience**
in data science, analytics, machine learning, NLP, AI, or related fields.
* Proven track record delivering AI/ML/NLP solutions in cloud-native environments (AWS, Azure, GCP).
* Ability to obtain and maintain a
**Public Trust clearance**
(USPTO requirements).
* Must have lived in the U.S.
**continuously for the last 2 years**
.
* Strong communication, collaboration, and presentation skills.
**Technical Skills**
* **Programming:**
Python, R, SQL, Java
* **AI/ML/LLM Tools:**
GenAI, LLMs, PyTorch, ML/NLP frameworks
* **Cloud:**
AWS (S3, SageMaker, Redshift), Azure, GCP
* **Big Data:**
Hadoop, Hive
* **Platforms:**
Databricks
* **DevSecOps:**
Terraform, GitLab pipelines, Docker, Git
* **Visualization:**
Power BI, Tableau
* **Data Manipulation, EDA, and Statistical Modeling**
**Preferred Qualifications (Nice-to-Have)**
* Experience with
**MLOps**
, model monitoring, and deployment pipelines.
* Experience in
**NLP, deep learning, or computer vision**
.
* Familiarity with automating
**DevSecOps pipelines**
and secure model operations.