Data Science
American IT Systems•Palm Beach, FL
•Onsite
About The Position
We are seeking a Data Scientist with 3 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.
Requirements
- 3+ years of experience as a Data Scientist / Data Analyst
- Strong proficiency in Python for data manipulation and analysis (Pandas, NumPy, SciPy)
- Solid understanding of data cleaning, transformation, and feature engineering
- Experience with SQL (PostgreSQL, MySQL, BigQuery, 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
Nice To Haves
- Python (3.x)
- Pandas, NumPy, Scikit-learn
- Jupyter, VS Code
- Git / GitHub
- Cloud platforms: AWS / Azure / GCP
- 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 AI (OpenAI / Azure OpenAI APIs, Prompt engineering, Embeddings, vector databases (FAISS, Pinecone, Chroma))
- Experience with NLP or text analytics
- Knowledge of MLOps basics (model versioning, monitoring)
Responsibilities
- 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
Benefits
- Competitive compensation and benefits
- Learning and upskilling opportunities in ML & GenAI
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
