Data Scientist II

Overview

Develop and deploy data science models for marketplace pricing and analytics.

Key Responsibilities

• data wrangling
• predictive modeling
• machine learning
• data visualization
• production code
• ai/ml trends

Tasks

-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. -Assist in designing, developing, and validating data models and visualizations to support various business initiatives. -Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization. -Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets. -Write production level code for analytics products. -Maintain awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.

Requirements

• sql
• spark
• docker
• github
• aws
• phd

What You Bring

-Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences. -Exposure to cloud platforms (AWS, Azure, etc. is a plus). -Proficiency with large-scale data wrangling using databases or Spark. -Bachelor’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. PhD is preferred but not required. -Ability to manage the stress of a fast-paced environment. -Experience with SQL and data manipulation in relational databases. -Proficiency working with docker containers. -Proficiency working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers. -4-7 years of experience in data analysis, data science, or a related field. -Proficiency working with a UI or web framework. -Proficiency working with APIs. -Proficiency with code version control platforms like GitHub, GitLab, or Azure DevOps. -Relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products. -Ability to meet the in-person requirements of the team and/or business needs. -Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing.

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Benefits

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

About Divisions Maintenance Group

-Founded with the mission to deliver reliable, professional maintenance services across various sectors. -Provides end-to-end facilities management, from routine maintenance to complex repair projects. -Specializes in maintaining critical systems such as HVAC, plumbing, electrical, and mechanical infrastructures. -Works with a wide range of industries, including commercial, industrial, residential, and government sectors. -Known for quick response times, high-quality service, and cost-effective solutions to facility maintenance challenges. -Handles projects across the country, with a reputation for excellence in both large-scale and small-scale operations. -Continues to expand its services, ensuring high standards through a mix of technology, expertise, and dedicated staff.

Sector Specialisms