Actively looking for a Data Scientist
Juno Beach, Florida, United States of America
Contract
22 hours ago
Key skills
PythonSQLAIMachine LearningMLNLPGenerative AILLMOpenAIscikit-learnPandasNumPyMLOpsJupyterChromaPineconeAnalyticsBITableauPower BISnowflakeBigQuerySparkAirflowdbtAWSAzureGoogle CloudDockerPostgreSQLMySQLGitGitHubCommunication
About this role
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 / Google Cloud Platform
- 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)