Contract Position _Principal Data Scientist_Juno Beach, FL_Onsite_F2F Interview

Job Title: Principal Data Scientist

Location: Juno Beach, FL Onsite Day 1
Job Type: Contract
Duration: 12 Months with Possible Extension
Experience: 10+ Years

Domain & Advanced Expectations

• Experience working with large, messy datasets and modern data technologies.
• Strong analytical mindset with Machine Learning and LLM exposure as a plus.
• Proven experience in time-series forecasting.
• Candidates with Energy, Utility, or Renewable Energy domain experience preferred.
• Experience with ARIMA, SARIMAX, Prophet, and LSTM models.
• Proven experience with weather-dependent forecasting projects.
• Experience deploying production-grade forecasting systems.

Required Skills & Qualifications

• 9+ years of experience as a Data Scientist / Data Analyst.
• Strong proficiency in Python for data manipulation and analysis.
• Hands-on experience with Pandas, NumPy, SciPy, and Scikit-learn.
• Strong understanding of data cleaning, transformation, and feature engineering.
• Experience with SQL, including PostgreSQL, MySQL, BigQuery, Snowflake, or similar databases.
• Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, Power BI, or Tableau.
• Strong understanding of statistics and data analysis fundamentals.
• Experience working with APIs and external data sources.
• Strong problem-solving and communication skills.

Key Responsibilities

• Clean, preprocess, and transform structured and unstructured data using Python.
• Perform exploratory data analysis (EDA) to identify insights, trends, and patterns.
• Build reusable data pipelines and feature engineering workflows.
• Work with SQL and cloud-based data warehouses for data extraction and preparation.
• 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 as required.
• Experiment with and support LLM-based solutions, including prompting, embeddings, and APIs.
• Ensure data quality, reliability, and proper documentation.
• Develop and maintain production-grade forecasting solutions.

Modern / Latest Technology Stack

• Python 3.x
• Pandas, NumPy, Scikit-learn
• Jupyter, VS Code
• Git / GitHub
• AWS / Azure / Google Cloud Platform
• Airflow, dbt, Spark
• Docker
• SQL / Cloud Data Warehouses
• LLMs / Time-Series Forecasting
• LLMs / Generative AI

Good to Have

• Hands-on experience with Machine Learning models including regression, classification, clustering, and time series.
• Exposure to LLMs and Generative AI, including OpenAI / Azure OpenAI APIs.
• Prompt engineering experience.
• Experience with embeddings and vector databases such as FAISS, Pinecone, or Chroma.
• Experience with NLP or text analytics.
• Knowledge of MLOps concepts including model versioning, monitoring, and deployment.
• Experience in Energy, Utilities, Renewable Energy, or related industries.