Job Description
Job Title: Data Scientist
\n
Work Location: The Woodlands
\n
Education/Experience Required: 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
\n
\n
Job Description:
\n
- \n
- This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
- The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
- This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.
\n
\n
\n
\n
Responsibilities:
\n
- \n
- 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
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Skills & Qualifications:
\n
- \n
- 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
- Excellent problem-solving, analytical, and communication skills
\n
\n
\n
\n
\n
\n
\n
\n
\n
Preferred Qualifications
\n
- \n
- Experience with Databricks, Spark, or PySpark
- Experience with cloud platforms such as AWS or Azure
- Experience with Tableau, Power BI, or other data visualization tools
- Experience with modern data architectures and lakehouse environments
- Experience developing AI-enabled applications
- Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics
\n
\n
\n
\n
\n
\n
\n