DATA SCIENTIST @ CLOUD ONE INC
Cloud One Inc is recruiting a Senior Data Scientist for a 12-month onsite position in West Palm Beach, Florida. This role requires full-time attendance (5 days a week) at our facility, making local candidates or those willing to relocate the preferred choice. The successful candidate will apply advanced statistical and machine learning techniques to derive actionable insights from complex datasets, supporting critical business decision-making processes.
You will work closely with engineering and product teams to design, develop, and deploy scalable data models. With over 12 years of experience required, you will be expected to lead data-driven projects, optimize existing algorithms, and ensure the integrity of the data infrastructure. This is a genuine opportunity for a data professional to influence the technological roadmap of the company while working on-site in a collaborative and fast-paced environment in West Palm Beach.
You will work closely with engineering and product teams to design, develop, and deploy scalable data models. With over 12 years of experience required, you will be expected to lead data-driven projects, optimize existing algorithms, and ensure the integrity of the data infrastructure. This is a genuine opportunity for a data professional to influence the technological roadmap of the company while working on-site in a collaborative and fast-paced environment in West Palm Beach.
Key Requirements
Minimum of 12 years of professional experience in Data Science or a related analytical field.
Proficiency in Python or R for data analysis and predictive modeling.
Strong experience with machine learning libraries such as Scikit-Learn, TensorFlow, or PyTorch.
Solid foundation in statistical analysis, probability, and advanced mathematics.
Ability to work onsite 5 days a week in West Palm Beach, Florida.
Advanced experience with SQL and querying large relational databases.
Knowledge of Big Data technologies including Spark, Hadoop, or Hive.
Proven track record of deploying machine learning models into production environments.
Excellent communication skills to present complex findings to non-technical stakeholders.
A Master's or PhD in Data Science, Statistics, Mathematics, or a quantitative discipline.