Data Scientist Sr Position Available In Hillsborough, Florida

Data Scientist Sr

Job Category:

Information Technology

Requisition Number:

DATAS001920

ing Details
ed: April 14, 2025
Full-Time
Locations
Showing 1 location
Tampa, FL 33605, USA
Job Details
Description
Join The #1 Furniture Company-Join The #1 Furniture Brand
Ashley Furniture Industries, Inc., is the largest furniture manufacturer in the world. Established in 1945, Ashley offers one of the industry’s broadest product assortments to retail partners in 123 countries.
Summary
Senior Data Scientist
On-Site ; Tampa, FL

• As a Senior Data Scientist at Ashley Furniture Industries, you will lead complex data science initiatives and provide technical guidance to junior team members while developing sophisticated analytical solutions across our retail, manufacturing, and supply chain operations. Reporting to the Lead Data Scientist.
• You will design and implement advanced machine learning models, conduct in-depth statistical analyses, and collaborate with business stakeholders to drive data-informed decision-making that delivers measurable business impact.
  Key Responsibilities
• Design and develop advanced machine learning models and statistical analyses to address complex business challenges
• Lead high-priority data science projects from conception to implementation and evaluation
• Mentor junior data scientists and provide technical guidance on methodologies and best practices
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Identify opportunities for optimization and innovation across business processes
• Design and analyze experimental frameworks to measure the impact of implemented solutions
• Evaluate and recommend new technologies, tools, and approaches to enhance the team’s capabilities
• Present findings and recommendations to senior leadership and technical teams
• Contribute to the development of data science standards and best practices
• Ensure quality and reproducibility of analytical work across the team
  Technical Requirements
• Advanced proficiency in Python and SQL for complex data manipulation and modeling
• Extensive experience with data science libraries and frameworks (NumPy, Pandas, Scikit-learn, XGBoost)
• Strong knowledge of statistical modeling, experimental design, and causal inference
• Experience with deep learning frameworks (PyTorch or TensorFlow) and their applications
• Proficiency in feature engineering, selection, and importance analysis
• Experience with model deployment and monitoring in production environments
• Knowledge of data visualization techniques and tools (Tableau, Power BI, Matplotlib)
• Understanding of distributed computing for processing large datasets
• Familiarity with MLOps practices and CI/CD for machine learning workflows
• Experience with cloud-based data platforms (AWS, Azure, or GCP)
  Required Experience
• 5+ years of professional experience in data science or related analytical roles
• Demonstrated experience leading complex data science projects with significant business impact
• Experience mentoring junior team members and providing technical guidance
• Track record of successful collaboration with cross-functional teams
• Experience in architecting and implementing end-to-end data science solutions
  Preferred Qualifications
• Experience in retail, e-commerce, manufacturing, or supply chain domains
• Knowledge of demand forecasting, price optimization, or recommendation systems
• Experience with natural language processing or computer vision applications
• Background in customer segmentation and lifetime value modeling
• Familiarity with time series analysis and forecasting methods
• Experience with A/B testing and experimental design in business contexts
  Soft Skills
• Strong leadership abilities with experience guiding junior team members
• Excellent communication skills with ability to explain complex concepts to technical and non-technical audiences
• Strategic thinking with the ability to align technical solutions with business objectives
• Problem-solving mindset with attention to detail
• Self-motivated with the ability to work independently and drive projects forward
• Collaborative approach with strong interpersonal skills
  Education
• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field
• Relevant professional certifications in advanced analytics are a plus
• Contributions to open-source projects or technical communities are valued