Data Scientist - Remote, Flexible Hours, Growth

Franklin; California; Remote; USD 110,000 - 131,000; Full time

Benefits offered by this job

Flexible hours

Remote work options

Professional development

Job summary

Franklin is seeking an experienced Data Scientist to analyze complex data and derive insights that inform business decisions. You will partner with stakeholders to uncover opportunities for data-driven growth and deliver visuals that communicate findings.

The role emphasizes building predictive models, ensuring data quality, and staying current with industry trends. Flexible hours and remote work options enhance collaboration in a dynamic, growing team.

Qualifications

• Master's degree in data science, computer science, statistics, or related field.
• Certified Data Scientist or related certification (optional).
• Proven experience in analyzing complex data sets and developing predictive models.
• Strong understanding of data science concepts and technologies.

Responsibilities

• Analyze complex data sets to identify trends and patterns.
• Develop and implement predictive models to drive business decisions.
• Collaborate with business stakeholders to identify opportunities for data-driven growth.
• Design and implement data visualizations to communicate insights.
• Ensure data quality and integrity through data validation and testing.
• Stay up-to-date with industry trends and emerging technologies.

Skills

Machine learning

Statistical modeling

Python

R

SQL

Tableau

Power BI

Hadoop

Spark

Data mining

Data modeling

Communication

Problem solving

Education

Master's degree in Data Science or related field

Certified Data Scientist (optional)

Tools

Tableau

Power BI

Hadoop

Spark

Job description

Franklin is seeking an experienced Data Scientist to analyze complex data and derive insights that inform business decisions. You will partner with stakeholders to uncover opportunities for data-driven growth and deliver visuals that communicate findings.

The role emphasizes building predictive models, ensuring data quality, and staying current with industry trends. Flexible hours and remote work options enhance collaboration in a dynamic, growing team.