Data Scientist (Pricing/Financial)
Spotted 2d agoFull-time
Job details
- Work mode
- On-site
- Employment
- Full-time
- Level
- Mid level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Oct 28, 2026
- Last confirmed open
- Oct 28, 2026
Job description
About this role
Data Scientist
The Woodlands-4 days onsite
DIRECT HIRE with Full Benefits, Stocks and Bonus plus 401k
Bachelor's degree
- 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
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