Work with Data Science Strategy Leadership to define data science use cases, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans.
Build Proof-of-Concept data science models utilizing K-C’s Microsoft cloud stack: acquire, cleanse, and harmonize data, analyze, and identify appropriate modeling techniques, build models that are interpretable, explainable, and sustainable at scale and meets the business needs.
Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences.
Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams.
Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required.

Requirements

5 or more years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred)
A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) – A master’s degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
Proficiency in SQL and Python, with familiarity in at least one other programming language (e.g., Rust, R, C++/C#, Minitab, SAS, Matlab, VBA)
Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3.js, Chart.js, Plotly, Matplotlib)
Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, deep learning, clustering/segmentation)
Familiarity with mathematical optimization is a plus (e.g. linear and non-linear optimization, mixed integer programming, knowledge of optimization engines such as CPLEX or Gurobi)
Familiarity with cloud environments (Azure, AWS, or GCP) and data pipelines (e.g., Airflow, Azure Data Factory, Databricks)

Benefits

Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.
Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.
Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.
Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceSQLPythonmachine learningdata visualizationmultivariate regressionfeature engineeringrandom forestsdeep learningmathematical optimization

Soft Skills

stakeholder engagementcommunicationcollaborationpresentationanalytical thinkingproblem-solvingproject managementinterpersonal skillsadaptabilityleadership