Job Title: Principal Data Scientist

Location: Juno Beach, FL onsite day 1(Need Only Local consultants)

Mandatory skills ARIMA/SARIMAX/Prophet/LSTM models

Domain & Advanced Expectations:

·        Experience working with large, messy datasets and modern data technologies

·        Strong analytical mindset with ML and LLM exposure as a plus

·        Proven time-series forecasting experience

·        Candidates from energy, utility, or renewable sectors preferred

·        Experience with ARIMA/SARIMAX/Prophet/LSTM models

·        Evidence of 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 (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, Power BI/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 uncover insights and trends

·        Build reusable data pipelines and feature engineering workflows

·        Work with SQL and/or 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 (prompting, embeddings, APIs)

·        Ensure data quality, reliability, and proper documentation

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: regression, classification, clustering, time series

·        Exposure to LLMs and Generative AI (OpenAI / Azure OpenAI APIs)

·        Prompt engineering

·        Embeddings and vector databases (FAISS, Pinecone, Chroma)

·        Experience with NLP or text analytics

·        Knowledge of MLOps basics (model versioning, monitoring)