Principal Data Scientist
Job in
Vero Beach, Indian River County, Florida, 32966, USA
Listed on 2026-02-09
Listing for:
SRS Consulting Inc
Full Time
position Listed on 2026-02-09
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
We are seeking a Data Scientist with 9 or more years of hands on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset.
Experience with machine learning and LLMs is a strong plus.
- Clean, preprocess, and transform structured and unstructured data using Python
- Perform exploratory data analysis (EDA) to uncover insights and trends
- Build reusable data pipelines and feature engineering workflows
- Work with SQL and/or cloud based data warehouses to extract and prepare data
- Collaborate with stakeholders to translate business problems into data driven solutions
- Develop and maintain analytical models and dashboards
- Apply basic to intermediate machine learning techniques where applicable
- Experiment with and support LLM based solutions (prompting, embeddings, APIs) as needed
- Ensure data quality, reliability, and documentation
Skills & Qualifications
- 9+ years of experience as a Data Scientist / Data Analyst
- Strong proficiency in Python for data manipulation and analysis
Pandas, Num Py, Sci Py - Solid understanding of data cleaning, transformation, and feature engineering
- Experience with SQL (Postgre
SQL, MySQL, Big Query, Snowflake, etc.) - Familiarity with data visualization tools
Matplotlib, Seaborn, Plotly, or Power BI/Tableau - Understanding of statistics and data analysis fundamentals
- Experience working with APIs and external data sources
- Strong problem solving and communication skills
- Modern / Latest Tech Stack (Preferred)
- Python (3.x)
- Pandas, Num Py, Scikit learn
- Jupyter, VS Code
- Git / Git Hub
- Data tools:
Airflow, dbt, Spark (basic exposure) - Containerization:
Docker (nice to have)
- Hands on experience with Machine Learning models
Regression, classification, clustering, time series - Exposure to LLMs and Generative AIOpenAI / Azure OpenAI APIs
- Embeddings, vector databases (FAISS, Pinecone, Chroma)
- Experience with NLP or text analytics
- Knowledge of MLOps basics (model versioning, monitoring)
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