Data Scientist

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, a Louisville, KY-based technology firm, seeks a Data Scientist for a FULL_TIME position. This role involves working on advanced projects using data to support business decisions and enhance customer experiences. The salary is negotiable, and the position is open until November 23, 2026.

As a Data Scientist, you will analyze complex data sets, develop predictive models, and create data visualizations. You'll collaborate with cross-functional teams to translate data insights into actionable strategies. Additionally, you'll maintain and improve data infrastructure to support the company's data needs.

You’ll be part of a team of data professionals in Louisville, KY, working in a collaborative environment. The workplace is in Louisville, Kentucky, and offers a supportive and innovative atmosphere for data science projects.

The salary is negotiable, and benefits include health insurance, retirement plans, and professional development opportunities. The company values employee growth and offers a range of benefits to support work-life balance and career advancement.

You should have a Master's degree in Data Science, Computer Science, or a related field. Experience with Python, R, and SQL is essential. Familiarity with machine learning algorithms and data visualization tools is required. Strong analytical and problem-solving skills are necessary.

Responsibilities

• Develop and implement data-driven solutions to address business challenges.
• Analyze large datasets to identify trends and patterns, and translate these insights into actionable recommendations.
• Design and maintain data pipelines to ensure the timely and efficient processing of data.
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
• Communicate complex data findings to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to your work.
• Conduct experiments and A/B tests to validate the effectiveness of data-driven solutions.
• Ensure the accuracy and quality of data by implementing data validation and quality control processes.

Requirements

• A Master's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
• Proven experience as a Data Scientist or a similar role, with a strong portfolio of projects and achievements.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis tools such as Pandas, NumPy, and SQL.
• Experience with machine learning algorithms and techniques, and a solid understanding of statistical concepts and methods.
• Knowledge of data visualization tools and techniques, and the ability to create effective and informative visualizations.
• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• A passion for data and a desire to leverage data to drive business decisions and improve customer experiences.

This opportunity is open to all qualified individuals, and the company is committed to an equal opportunity employment policy. Keystone Valley Solutions values diversity and is dedicated to creating an inclusive environment where all applicants can thrive. Whether you are a recent graduate or an experienced professional, the company welcomes applications from all backgrounds and skill levels. To ensure a smooth application process, candidates are advised to carefully review the job description and tailor their resumes and cover letters to highlight their relevant experience and qualifications. The company is eager to hear from individuals who are passionate about their field and ready to contribute to the success of Keystone Valley Solutions.