• Job Description

  Req#: 25-02619
  Paladin Consulting is currently hiring a Sr. Data Scientist Omnichannel to join our team working onsite at our client's office located in Katy, TX.
  
  We work with companies that offer environments for our employees to contribute, learn, and advance their career. We treat you like you are part of the family.
  
  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 (GCP) (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.
  
  For more information or to view other opportunities, visit us at www.paladininc.com.
  
  Paladin Consulting is an EEOC employer.

• About the company

  We work with both fortune 500 corporations down to small businesses to help fill specialist temporary skills gaps, primarily in IT and Engineering.

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