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Robert Half Scientist Analyst, Data in Houston, Texas


The Enterprise Analytics & Data Management (EADM) team is part of the WM’s Digital organization. Our mission is to accelerate business growth and drive operational efficiencies by extracting insights from data, predicting business outcomes and embedding intelligence into business processes. As a member of EADM you will deliver insights and solutions across the organization in areas such as routing, logistics, revenue management, customer experience, people analytics, business operations and more.

We are currently seeking a Data Science Engineer.

Job Summary

The Data Science Engineer will work with Data Scientists to develop algorithms, conduct testing to support model operations, as well as maintain data pipelines and architectures for various analytical models and solutions.

The ideal candidate should be highly skilled in all aspects of data engineering, including extraction, modeling, and analysis. Additionally, S/he should be committed to continued innovation and delivering impactful analytic solutions.

Essential Duties and Responsibilities

Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing algorithms for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and sustaining analytic products.

Evaluate source-to-target mappings and information-model specification documents for data sets.

Work directly with management and users to gather requirements, provide status updates, and build relationships.

Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data.

Work closely with Product Management to create and maintain a product backlog according to business value or ROI.

Contributes to prioritization processes and development cycles leveraging an Agile framework.


Bachelor's degree in Computer Science, Social Science, Statistics, Data Science, Data Analytics, or Market Research.

2-4 years of experience in similar roles as an ETL developer (preferably cloud-based technologies).

Strong understanding of Database and SQL (Relational, No-SQL).

Experience with Python, ML & Python libraries, and Jupyter notebooks.

Experience with Agile software development methodology.

Domain Experience

Demonstrated experience with extraction, loading, transformation via Matillion, and the Informatica toolsets.

Experience in developing and maintaining cloud technolog is desired (Snowflake and AWS preferred)

Experience with DevOps tools such as Git, JIRA, and Confluence

Familiarity with Data Science predictive/prescriptive statistical modeling, deployment and maintenance.

Certificates, Licenses, Registrations or Other Requirements

AWS or Snowflake certifications are a plus

Other Knowledge, Skills or Abilities Required

Strong written and oral communication skills with ability to work with users, peers and management.

Strong interpersonal skills.

Ability to work independently and as part of a team to successfully execute projects.

Highly motivated, self-starter with problem solving skills.

Ability to multitask and meet aggressive deadlines efficiently and effectively.

Detail-oriented but does not lose sight of the big picture.

Demonstrate ability to learn and understand business processes quickly.

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