Job Title: Data Science

Location : Palm Beach , FL (Day One Onsite to Client Location)

Experence : 8 + Years

Job Description
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.

Key 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

Required Skills & Qualifications
3+ years of experience as a Data Scientist / Data Analyst
Strong proficiency in Python for data manipulation and analysis
o 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
o 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, 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)

Good to Have
Hands-on experience with Machine Learning models
o Regression, classification, clustering, time series
Exposure to LLMs and Generative AI
o OpenAI / Azure OpenAI APIs
o Prompt engineering
o Embeddings, vector databases (FAISS, Pinecone, Chroma)
Experience with NLP or text analytics
Knowledge of MLOps basics (model versioning, monitoring)

What We Offer
Opportunity to work with modern data and AI technologies
Collaborative and growth-oriented environment
Competitive compensation and benefits
Learning and upskilling opportunities in ML & GenAI