What you'll do...
Position: Director, Data Science
Job Location: 811 Excellence Dr, Bentonville, AR 72716
Duties: Collaborates with stakeholders to support user interfaces and promote model usability at scale. Writes code using appropriate languages (e.g., SQL, Python, Java) based on technical and business needs. Develops and tests features, creates POCs, deploys software, documents code, and updates progress. Applies relevant software testing techniques. Applies best practices in visualization for complex data using tools like Tableau, PowerBI, Python, and R libraries. Communicates insights through structured storytelling formats and influences decision-making through visual narratives. Analyzes business problems within their discipline, questions assumptions, and identifies root causes. Recommends technology-focused solutions, defines success criteria and key metrics, and quantifies business impact to create effective solutions. Translates business requirements into strategies and initiatives aligned with organizational goals. Evaluates business cases, articulates ROI, challenges assumptions, and delivers demonstrable value. Defines and identifies suitable data sources aligned with business requirements. Performs data quality checks and guides junior associates on data selection and quality. Leverages understanding of business systems, distributed datastores (SQL, NoSQL), and success metrics to prioritize data needs. Selects appropriate modeling techniques for large-scale, structured and unstructured data. Conducts exploratory analysis, designs experiments, and creates test-and-learn frameworks. Develops models using advanced ML techniques and collaborates on feature development. Mentors team on experimentation and modeling methods. Identifies model evaluation metrics and applies best practices for testing and tuning. Assesses model accuracy, fit, robustness, and documents testing processes to ensure validation quality. Deploys models and ensures sustainability through lifecycle management and monitoring practices. The role will also supervise: 2: Staff Data Scientist; 3: Data Scientists; 4: Senior Data Scientists.
Minimum education and experience required: Master's degree or the equivalent in Information Systems, Information Technology, or related field plus 4 years of experience in analytics or related experience; OR Bachelor's degree or the equivalent in Information Systems, Information Technology, or related field plus 6 years of experience in analytics or related experience.
Skills required:Must have experience with: Managing a team of data scientists that implement AI/ML solutions in area of Fraud modeling; Training and deploying supervised classification models using Python/Spark to detect fraud in real-time; Training and deploying unsupervised network & cluster models using Python/Spark to detect fraud anomalies; Mining large datasets to discover transaction patterns, examine retail data (orders, sales, returns) and isolate targeted information using traditional & advanced data science techniques; Designing and developing KPI reports using SQL & Tableau to monitor real-time performance of models; Implementing Machine Learning algorithms including Supervised (Regression/LASSO, SVM, Neural Networks, etc..) and Unsupervised (Association, Clustering, etc.); Conducting data and model drift analysis on production environment to identify inconsistencies & anomalies; Utilizing statistical & data management tools & languages (Python, SQL, SAS) to provide insights & data solutions to business problems; Working with a team from multiple disciplines, including engineering and product management to build new applications and improve business processes; Azure / GCP for scalable deployment containerization (Docker, Kubernetes); Vector databases (Pinecone, Weaviate, FAISS, Milvus); Frameworks (LangChain, AutoGen, CrewAI, Haystack. Employer will accept any amount of experience with the required skills.
Rate of pay: $132,621.00 - 260,000.00/year
