Principal, Data Scientist

Description

The role is Principal, Data Scientist, based at 811 Excellence Dr, Bentonville, AR 72716.

The work centres on turning business problems into data science solutions, from framing the problem through to modelling and measuring impact, and includes guiding junior associates.

Responsibilities

• Analyse business problems in your area of expertise, question underlying assumptions and work with the business to find root causes.
• Recommend approaches that solve those problems with technology-focused solutions, and set deliverables and key metrics against agreed success criteria.
• Quantify business impact and build business cases with return on investment estimates, making sure the work delivers measurable value.
• Understand business context across two or more domains such as product, finance, marketing, sales, technology, business systems and human resources, including the relevant metrics and business areas.
• Assess proposed business cases for projects and initiatives, turn business requirements into strategies and projects aligned with business objectives, and drive delivery.
• Challenge business assumptions in your domain, and mentor team members on new business insights and developments in the field.
• Engage with the external community to build the company's brand and keep up with industry practice.
• Identify the most suitable data sources for each need, using external sources where required, and check the quality of extracted data.
• Understand data priorities and service level agreements, and review junior associates' work on data sourcing and quality.
• Choose modelling techniques for complex, large-scale problems involving structured and unstructured data, and select and refine features iteratively with the business.
• Run exploratory data analysis, design experiments and build test-and-learn frameworks, and identify trends that apply to future data.
• Build continuous, online model learning and iterate on models over time.
• Develop new techniques using recent advances in machine learning and artificial intelligence, and apply trained models to new data sets.

Requirements

• Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or a related field, plus 3 years of experience in analytics or related work.
• Or a Bachelor's degree or equivalent in one of those fields, plus 5 years of experience in analytics or related work.
• Experience implementing data science solutions on Google Cloud and Azure.
• Experience coding in object-oriented languages such as Python and C++, and using R for statistical work.
• Experience with ML and deep learning frameworks including Scikit-learn, TensorFlow, PyTorch and Keras.
• Experience with computer vision, including ResNet50 and fast.ai for image segmentation and object detection.
• Experience with big data tools including BigQuery, Spark, Hive and Hadoop, and with Databricks, Snowflake and Collibra for data integration.
• Experience with feature engineering, extraction and reduction in Python and R.
• Experience querying data warehouses with SQL, building ETL jobs with Glue, Knime and Alteryx, and visualising insights for stakeholders with Python, Tableau, Power BI, Matplotlib, Seaborn, ggplot and Spotfire.
• Experience with supervised and unsupervised ML methods, including K-means clustering, Principal Component Analysis, hierarchical clustering, ARIMA, hierarchical linear modelling and gradient boosting in Python and R.
• Experience with optimisation and operational research using PuLP and CPLEX, neural networks, and natural language processing with gensim and BERT.
• Experience deploying time series forecasting with ML techniques such as DeepAR in Python and R.
• Ability to choose model evaluation metrics and tune and test models for accuracy, fit, validity and robustness using advanced statistics.
• Experience turning business problems into production-grade, scalable data science solutions using MLflow, Docker and Kubernetes, producing actionable insights.
• Any amount of experience with the required skills is accepted.

Conditions

Pay is $144,040.00 to $220,000.00 per year, plus annual or quarterly performance incentives.

Benefits eligibility may depend on job classification and length of employment, and benefits may be subject to change or to specific plan terms. Details are on the company's benefits site.

The company is an equal opportunity employer.

The company maintains a drug-free workplace, with a zero-tolerance policy on illegal drugs and alcohol at work.

Benefits

• Competitive pay, performance-based incentive awards and other benefits.
• Health coverage including medical, vision and dental.
• Financial benefits including a 401(k), stock purchase and company-paid life insurance.
• Paid time off including PTO with sick leave, parental leave, family care leave, bereavement leave, jury duty and voting time.
• Short-term and long-term disability cover, education assistance with 100% company-paid college degrees, company discounts, military service pay and adoption expense reimbursement.