What are the responsibilities and job description for the Contract Position _Principal Data Scientist_Juno Beach, FL_Onsite_F2F Interview position at Arbor Tek Systems?
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.
Salary : $50 - $60