Data Scientist

Paradise Architectural PANELS & STEEL; Jacksonville (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Required are strong Python/R/SQL skills, experience with Tableau/Power BI, and a solid foundation in statistics. A related degree is preferred and you will collaborate with cross-functional teams.

Qualifications

• Bachelor's or master's degree in a quantitative field preferred.
• Strong programming skills in Python/R/SQL.
• Experience with data visualization tools (Tableau/Power BI).
• Solid understanding of statistics and ML techniques.
• Ability to communicate complex data concepts to non-technical stakeholders.

Responsibilities

• Collect, process, and analyze large volumes of structured and unstructured data from multiple sources.
• Develop and deploy machine learning models and statistical methods to solve business problems.
• Collaborate with cross-functional teams to define data requirements and ensure data quality.
• Visualize data findings and present results to stakeholders clearly.
• Conduct exploratory data analysis to uncover patterns and insights informing strategy.
• Stay current with data science trends and tools to improve methodologies.
• Support data-driven strategies to enhance operations and customer satisfaction.

Skills

Python

R

SQL

Tableau

Power BI

Statistics

Machine Learning

Data Mining

Problem Solving

Communication

Education

Degree in Data Science

Degree in Statistics

Degree in Computer Science

Degree in Mathematics

Tools

Tableau

Power BI

Job description

We are seeking a skilled Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex data sets to identify trends, develop predictive models, and provide actionable insights to drive business decisions. Key responsibilities include:

• Collecting, processing, and analyzing large volumes of structured and unstructured data from various sources.
• Developing and implementing machine learning algorithms and statistical models to solve business problems.
• Collaborating with cross-functional teams to define data requirements and ensure data quality.
• Visualizing data findings and presenting results to stakeholders in a clear and concise manner.
• Conducting exploratory data analysis to uncover patterns and insights that can inform strategic initiatives.
• Staying up-to-date with industry trends and advancements in data science methodologies and tools.
• Assisting in the development of data-driven strategies to enhance operational efficiency and customer satisfaction.

Qualifications:

• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Solid understanding of statistical analysis, machine learning techniques, and data mining.
• Excellent problem-solving skills and the ability to work independently and in a team environment.
• Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• A degree in Data Science, Statistics, Computer Science, Mathematics, or a related field is preferred.