Data Scientist: Business Analytics & Automation (Hybrid)

Lab Consulting Partnership; Houston (TX); Hybrid; USD 85,000 - 110,000; Full time

Job summary

Lab Consulting Partnership is seeking a data scientist in Houston to join our data science team. You will analyze client data, build predictive models, and develop interactive dashboards to enable business decisions.

The role emphasizes scalable analytics, rigorous methodologies, and clear documentation across a 50/50 hybrid work model with off-site client projects. The ideal candidate has 1–2 years of analytics or data modeling experience, strong ML knowledge, and programming fluency in

Qualifications

• Bachelor's degree in a quantitative field.
• 1–2 years of experience in analytics or data modeling.
• Strong knowledge of predictive modeling and ML techniques.

Responsibilities

• Interface with clients to gather operational data for analysis.
• Analyze raw data from consulting client projects across multiple industries.
• Develop Power BI and Tableau dashboards.
• Design accurate and scalable prediction algorithms.
• Collaborate with team to bring analytical prototypes to production.
• Generate actionable insights for business improvements.
• Work alongside clients and internal team members to develop interactive dashboards.
• Transform data to prepare for analysis and reporting.
• Manage the structure and functionality of internal databases.
• Maintain and build tools to assist research teams with data management.
• Navigate client roadblocks that slow down projects.
• Proactively report progress and issues to internal team and clients.

Skills

Predictive modeling

Machine learning

Python

SQL

Java

C/C++

Tableau

Power BI

Analytical thinking

Education

Bachelor's degree in quantitative field

Tools

Tableau

Power BI

Hadoop

Spark

Cassandra

Job description

Lab Consulting Partnership is seeking a data scientist in Houston to join our data science team. You will analyze client data, build predictive models, and develop interactive dashboards to enable business decisions.

The role emphasizes scalable analytics, rigorous methodologies, and clear documentation across a 50/50 hybrid work model with off-site client projects. The ideal candidate has 1–2 years of analytics or data modeling experience, strong ML knowledge, and programming fluency in