Data Scientist (Pricing/Financial)

Paladin Consulting; The Woodlands (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Full benefits

Stocks

Bonus

401k

Job summary

Paladin Consulting in The Woodlands, TX seeks an experienced Data Scientist to collaborate with business stakeholders, design scalable data pipelines, and develop ML and analytics solutions. You will perform forecasting, statistical modeling, and deliver dashboards to support decision-making.

The role requires 3+ years of experience, strong Python/SQL skills, and the ability to communicate insights to non-technical audiences. This is a direct-hire opportunity with benefits and stock options.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field.
• 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline.
• Strong proficiency in Python and SQL.
• Experience building and deploying production machine learning or analytics solutions.
• Experience developing and maintaining data pipelines.
• Strong knowledge of statistics, hypothesis testing, and model evaluation techniques.
• Experience communicating analytical findings to business stakeholders.
• Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics.

Responsibilities

• Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
• Develop, deploy, and maintain machine learning models and advanced analytics solutions
• Design and build scalable data pipelines and data products
• Perform data analysis, feature engineering, forecasting, and statistical modeling
• Create dashboards, reports, and self-service analytics tools to support decision-making
• Monitor, improve, and support production analytics solutions
• Present findings and recommendations to both technical and non-technical audiences
• Drive measurable business impact through data-driven insights and operational improvements
• Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills

Python

SQL

Machine Learning

Analytics

Data Pipelines

Statistics

Stakeholder Communication

Forecasting

Education

Bachelor’s degree in quantitative field

Tools

Databricks

Spark

PySpark

AWS

Azure

Tableau

Power BI

Lakehouse

AI-enabled apps

Job description

DIRECT HIRE with Full Benefits, Stocks and Bonus plus 401k

• Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions


• Develop, deploy, and maintain machine learning models and advanced analytics solutions


• Design and build scalable data pipelines and data products


• Perform data analysis, feature engineering, forecasting, and statistical modeling


• Create dashboards, reports, and self-service analytics tools to support decision-making


• Monitor, improve, and support production analytics solutions


• Present findings and recommendations to both technical and non-technical audiences


• Drive measurable business impact through data-driven insights and operational improvements


• Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field


• 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline


• Strong proficiency in Python and SQL


• Experience building and deploying production machine learning or analytics solutions


• Experience developing and maintaining data pipelines


• Strong knowledge of statistics, hypothesis testing, and model evaluation techniques


• Experience communicating analytical findings to business stakeholders


• Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics

Preferred Qualifications

• Databricks, Spark, or PySpark, cloud platforms such as AWS or Azure, Tableau, Power BI, or other data visualization tools


• Experience with modern data architectures and lakehouse environments


• Experience developing AI-enabled applications