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About the Role

We are building out Marketplace Health and Pricing teams and a Data Science practice to leverage advanced analytic solutions. This role will focus on unique matching and pricing opportunities, working across stakeholders to understand needs and design solutions. The ideal candidate will have experience in structured problem solving, model building, production analytics products, data wrangling, and communicating insights.

Responsibilities

Partner with stakeholders to translate complex business problems into data science and advanced analytics solutions.
Write production-level code for robust analytics products.
Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
Leverage diverse sets of large and unstructured data to derive meaningful insights and information sets.
Apply advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.
Synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences.
Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.

Requirements

Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in lieu of a degree.
8+ years of relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products.
Experience with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization.
Experience with Python and SQL including building python packages.
Experience gathering, interpreting, and translating business requirements into analytical solutions.
Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
Experience with code version control platforms like GitHub, GitLab, or Azure DevOps.
Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers.
Experience with large-scale data wrangling using databases or Spark.
Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing.
Experience working with docker containers.
Experience working with APIs.
Experience working with a UI or web framework.
Ability to manage the stress of a fast-paced environment.
Ability to meet the in-person requirements of the team and/or business needs.

Skills

Python
SQL
GitHub
GitLab
Azure DevOps
Docker
APIs
UI development
Web framework development
Predictive modeling
Machine learning
Time series analysis
Simulation
Optimization
Hypothesis testing
Supervised learning
Classification
Regression
Forecasting
Unsupervised clustering
Data wrangling
Exploratory analysis
Model building
Model tuning
Production analytics products
Data collection
Data cleansing
Analytics execution
Communication of insights
Cloud native stack
AWS

Location

Cincinnati, OH
Seattle, WA

Work Type

Full-time
Onsite

Experience Level

8+ years of relevant data science or software engineering experience

Education Level

Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics
3 additional years of related experience may be substituted in lieu of a degree

Benefits

Health, dental and vision coverage on day 1.
Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
Paid Primary and Secondary Caregiver leave.
Employee Assistance Program.
Paid time off to volunteer.

About the Company

Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.
We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.”
DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.

Equal Opportunity

Divisions Maintenance Group is an equal opportunity employer.