Data Scientist

DIRECT HIRE ROLE INHOUSTON, TX

We have a client seeking an intelligent, proactive, and results-driven Data Scientist to join a fast-growing team. This role focuses on transforming raw data into actionable insights, optimizing processes, and supporting business objectives using advanced analytics and machine learning. You will partner closely with cross-functional teams, including Financial Planning, Analysis & Performance Optimization and IT, to integrate data solutions and drive measurable business impact.

• Analyze large and complex datasets to identify trends, inefficiencies, and opportunities for operational and financial improvement.
• Provide actionable recommendations to improve business performance and decision-making.

• Design, develop, and deploy predictive models and machine learning algorithms to solve real-world business problems, such as customer segmentation, pricing optimization, and logistics solutions.
• Implement error handling, documentation, and production-ready processes for deployed models.

• Collaborate with IT and cross-functional teams to integrate data solutions into existing systems, workflows, and analytics platforms.
• Join and process data from multiple sources, including SQL, AWS, Salesforce, Workday, and transactional or voice/logistics datasets.

• Design and maintain dashboards, visualizations, and reports for stakeholders using tools such as Power BI or Tableau.
• Communicate technical concepts clearly to non-technical audiences.

• Identify, prioritize, and develop future AI use cases across the organization.
• Stay current with industry trends and emerging technologies to enhance analytics capabilities and inform the company’s long-term data strategy.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of industry experience in Data Science, with hands‑on experience building and deploying production-ready models.
• Expertise in Python, SQL, and statistical/machine learning methods (e.g., regression, GLMs, random forests, clustering, mixed‑integer optimization).
• Experience with analytics platforms (e.g., Databricks), Spark/PySpark, and data pipeline development (e.g., AWS Glue).
• Strong data visualization skills (Power BI, Tableau) and experience communicating insights to business stakeholders.
• Proven ability to drive measurable business impact through analytics.
• Proactive, self‑starter with strong problem‑solving and collaboration skills.
• Bonus:
  Familiarity with Pigment or similar business planning tools.

• Flexible PTO
• 401(k) with company match
• Paid parental leave (12 weeks)
• Gym membership

• Direct-hire position with minimal travel required.
• Candidates must be legally authorized to work in the U.S. without sponsorship.
• Opportunity to make a real impact, work on cutting‑edge analytics, and grow within a dynamic, innovative team.