Data Scientist: Build Models, Visualize Impact

Keystone Valley Solutions; Louisville (KY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development

Job summary

Keystone Valley Solutions in Louisville, KY is seeking a Data Scientist for a full-time role focused on turning data into actionable business insights and improving customer experiences. You will analyze complex datasets, build predictive models, and develop data-driven solutions in collaboration with cross-functional teams.

The ideal candidate holds a Master’s degree in a quantitative field, is proficient in Python, R, and SQL, and can create compelling data visualizations.

Qualifications

• Master's degree in statistics, mathematics, computer science, or related field, or equivalent experience.
• Proven experience as a Data Scientist or similar role with a strong portfolio of projects.
• Proficiency in Python or R and SQL, with data manipulation using Pandas/NumPy.

Responsibilities

• Develop and implement data-driven solutions to address business challenges.
• Analyze large datasets to identify trends and translate insights into actionable recommendations.
• Design and maintain data pipelines for timely data processing.
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
• Communicate complex data findings to stakeholders clearly.
• Stay up-to-date with advances in data science and ML and apply them to your work.
• Conduct experiments and A/B tests to validate solutions.
• Ensure data quality through validation and QC processes.

Skills

Machine learning

Data visualization

Python

R

SQL

Education

Master's degree in a quantitative field

Tools

Pandas

NumPy

Job description

Keystone Valley Solutions in Louisville, KY is seeking a Data Scientist for a full-time role focused on turning data into actionable business insights and improving customer experiences. You will analyze complex datasets, build predictive models, and develop data-driven solutions in collaboration with cross-functional teams.

The ideal candidate holds a Master’s degree in a quantitative field, is proficient in Python, R, and SQL, and can create compelling data visualizations.