Data Scientist-Direct Hire-ONSITE

Job Title: Sr. Data Scientist/Omnichannel Analyst
Work Location: Katy, TX
Education/Experience Required: Bachelor's degree (BA, BS with strong coursework in a quantitative field, such as Engineering, in Data Science, Computer
Science, Statistics, Mathematics, Economics, Engineering, or a related field, or equivalent years of work experience
Master's degree preferred

Job Description & Responsibilities :

• Data Analysis & Modeling: Design and develop complex predictive and prescriptive models using advanced statistical and machine learning techniques. Utilizing data-science techniques, explore the data to uncover patterns and correlations, predict customer behavior, and preemptively identify potential problems. Contribute to company A/B testing framework and recommend results
• Data Collection & Management: Lead the acquisition, integration, and cleaning of diverse and complex datasets from multiple sources to ensure data quality and reliability
• Data Product Ownership: Drive end-to-end data science products from ideation to production, including problem definition, data exploration, model development, and result validation, documentation, and monitoring.
• Collaboration: Work closely with stakeholders across business units, including product, finance, marketing, operations, and IT, to understand business needs, define requirements, and align data science solutions with business objectives.
• Data Visualization & Communication: Create compelling visualizations and presentations that effectively communicate complex analysis, insights, and recommendations to both technical and non-technical audiences.
• Model Deployment & Scaling: Implement and optimize machine learning models in production environments, ensuring they are scalable, efficient, and reliable
• Mentorship & Leadership: Lead by example to build a culture of accountability and rigor to substantiate proven business impact with data, providing mentorship and guidance to other analysts on the team
• Innovation: Keep current with technical and industry developments, tools, and technologies in the field of data science, and identify opportunities for continuous improvement and innovation within the organization

Skills & Qualifications :

• Bachelor's degree (BA, BS with strong coursework in a quantitative field, such as Engineering, in Data Science, ComputerScience, Statistics, Mathematics, Economics, Engineering, or a related field, or equivalent years of work experience. Master's degree preferred

• 4+ Years in data analytics, business intelligence, or data engineering. Data Science Experience preferred
• 2 years in a senior analyst capacity, preferably within an enterprise or large-scale organization
• Experience with retail analytics + omnichannel will be a plus
• Ability to work well under pressure while consistently meeting time-sensitive deadlines
• Ability to work well independently, as well as effectively contribute to a team environment
• Ability to prioritize workload, meet multiple deadlines simultaneously in a fast-paced, frequently changing environment
• Strong interpersonal, written, and verbal communication skills, detail-oriented, with the ability to interact with all levels of end users and technical resources
• Proficiency in programming languages such as Python, R, or Scala
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). Preference toward experience in a cloud enterprise environment, such as Google Cloud Platform (Google Cloud Platform) (BigQuery is a plus) / Azure / Amazon Web Services (AWS)
• Advanced knowledge of SQL and experience with relational and non-relational databases, with a focus on transforming data
• to prepare for analysis and machine learning. 3+ years of experience in enterprise-grade data visualization tools (e.g., Tableau, Power BI, Looker, MicroStrategy)
• Strong Microsoft Office program experience, including Excel, Word, and PowerPoint.