Operations Data Scientist

Job Description

The Data Scientist II drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Data Scientist II constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist II effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision-making through presentation of data-based recommendations.

PRINCIPAL RESPONSIBILITIES:

Researches and resolves data inquiries and requests.

Provides insights and serves as a subject matter expert for department data.

Documents requirements for data science and reporting projects.

Supports the development of standard data analyses, reports, and dashboards.

Collaborates with other teams to gather data and build relationships.

Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.

Transforms data into actionable insights and recommendations.

Designs experiments and interprets the results to draw detailed and actionable conclusions.

Builds statistical models to enhance understanding of trends and predicts future performance.

Finds new opportunities and novel applications for our core internal data.

Translates and champions our Machine Learning capabilities for non-technical audiences.

Participates in end-to-end data science project lifecycle data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking.

Designs, validates and evaluates solutions using R, Python, SQL and other programming tools.

Creates presentations for senior leaders, which are often used to build board level presentations.

Performs other job-related duties as assigned or apparent.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

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Skills and Requirements

Bachelor's Degree in an analytical/quantitative field (STEM, Operations Research, Industrial Engineering, Mathematics, Computer Science, Information Management, Statistics, Engineering).

3 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.

3 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.

Demonstrated experience building and deploying machine learning/AI models in a cloud computing environment (e.g. AWS).

Experience with common commercial analytics topics (e.g. pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g. logistics analytics, route optimization, maintenance optimization, etc.).

Proficiency with Excel and PowerBI.

Knowledge of cloud computing environments (e.g. AWS).

Experience developing production-ready code and model pipelines.

Ability to collaborate with business leaders and IT to build and deliver end-to-end solutions. Masters degree preferred.

Knowledge of logistics and supply chain a plus.

Applied experience with experimental design, time series modeling, and optimization preferred. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .