Sr. Data Scientist

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Data ScientistData

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Quick Summary

Key Responsibilities

Partnering with stakeholders to translate complex business problems into data science and advanced analytics solutions. Write production level code for robust analytics products.

Requirements Summary

Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics.

Technical Tools

Data ScientistData

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.

We are currently building out a Marketplace Health and Pricing teams and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic solutions. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities. At the outset, you will work on scaled and unique matching and pricing opportunities.

We are a fast-paced, entrepreneurial team – this role will work across many different stakeholders to understand their needs and design solutions suitable for use across the industries we operate in. The ideal candidate will bring demonstrated experience in structured problem solving, model building and tuning, building production level analytics products, data collection & cleansing, analytics execution, and communication of meaningful insights to diverse audiences of varying seniority and familiarity with analytic concepts. We have a fully cloud native stack built primarily on AWS.

Responsibilities

~1 min read

→Partnering 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 a diverse set of large and unstructured data to derive meaningful insights and information sets.

→Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.

→Clearly and concisely 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

~2 min read

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 working 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.

At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers.

Some of our many benefits include:

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 to assist with everyday challenges.

Paid time off to volunteer.

Divisions Maintenance Group is an equal opportunity employer.