Requisition ID: 927619
Store #: A00152 Tech Srvcs Wholesale DAL-T
Position: Full-Time
Total Rewards: Benefits/Incentive InformationGENERAL FUNCTION
The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging stakeholders, translating business challenges into ML solutions, researching emerging AI techniques, and delivering production-ready models that drive measurable business value. It balances innovation with execution, ensuring outcomes are practical, scalable, and aligned to business needs.
MAJOR DUTIES AND RESPONSIBILITIESManaging
- Engage with stakeholders to understand objectives, constraints, and success metrics
- Deliver end-to-end ML solutions from problem framing to production deployment
- Conduct applied research to evaluate and prototype new AI/ML techniques
- Prioritize between research and delivery based on business impact
- Manage model lifecycle: validation, monitoring, retraining, and optimization
Organizing
- Translate ambiguous business problems into structured data science statements
- Organize exploratory analysis, experimentation, and research frameworks
- Structure scalable ML pipelines for training, inference, and deployment
- Develop proof-of-concepts to validate new AI techniques
- Convert insights and research outcomes into actionable recommendations
Leading
- Drive solutions from research to production
- Act as a trusted analytics advisor through consultative problem-solving
- Promote adoption of ML solutions by communicating value and limitations
- Evaluate and adopt emerging AI/ML techniques
- Mentor junior team members on research and delivery best practices
BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Data Science, Statistics, or related field
- 5+ years of relevant work experience
- Proven experience delivering ML solutions in production
- Ability to work independently with stakeholders and own delivery
- Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
- Solid understanding of statistical modeling, ML techniques, and data mining
PREFERRED QUALIFICATIONS- Master's or PhD in Data Science, Statistics, or related discipline
- Experience in applied research and rapid prototyping of AI/ML solutions
- Exposure to advanced AI techniques (deep learning, generative AI, optimization)
- Experience deploying ML models using Docker, Kubernetes, or cloud-native services
- Familiarity with Azure, Databricks, Spark, Synapse, and Lakehouse architecture
- Strong storytelling and communication skills for technical and non-technical audiences
- Experience in agile, fast-paced, cross-functional environments
- Balance research depth with delivery focus
- Ability to evaluate and apply new AI techniques pragmatically
- Excellent listening and problem-solving skills
- Strong ownership mindset with minimal supervision
- Ability to translate complex research into business value
This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts.
