Part-Time Retail Data Collection Associate

Crossmark, Inc.Springfield

On-site Part-time

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Experience Level

Entry Level

Qualifications

Strong analytical skills with attention to detail. Excellent communication skills. Able to work independently and as part of a team. Familiarity with retail environments is a plus. Must be able to manage time effectively and meet deadlines.

About the job

Join Crossmark, Inc. as a Part-Time Retail Data Collection Associate, where you will play a vital role in gathering and analyzing retail data to help brands make informed decisions. This position offers the opportunity to work on various projects, providing essential insights into consumer behavior.

About Crossmark, Inc.

Crossmark, Inc. is a leading provider of retail services, dedicated to helping brands improve their performance through data-driven insights. With a commitment to excellence and innovation, we partner with retailers and manufacturers to optimize operations and enhance customer experiences.

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Senior Data Scientist

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Full-time|On-site|Springfield, Virginia, United States

***Requires an active TS/SCI Security Clearance****Your Impact:As a Senior Data Scientist at grvty, you will play a crucial role in processing and analyzing extensive datasets. Your expertise will enable you to craft and implement top-notch analytic processes, automated scripting solutions, and data modeling frameworks that directly support the Department of Defense (DoD) and the Intelligence Community (IC). Collaborating with our clients, you will address their inquiries regarding data challenges and devise optimal data-driven solutions within established guidelines. This role positions you as a Subject Matter Expert (SME), leading the development of automated processes, architecting data science solutions, conducting analyses, and leveraging available tools to uncover patterns that resolve complex issues faced by the DoD and IC.Your Responsibilities:Analyze large structured and unstructured datasets to define and streamline processes for evaluating unique intelligence challenges.Lead the design of innovative solutions and enhance existing methodologies.Collaborate with stakeholders to translate project features into actionable tasks, estimating timelines, resource requirements, and identifying potential risks.Utilize exploratory data analysis techniques to reveal significant relationships and trends within complex datasets.Integrate applied mathematics, programming, and analytical techniques to generate impactful insights for decision-makers.Research and apply optimization models and strategies to enhance data management and analysis.Employ big data analytics tools to derive meaningful insights from diverse data sets.Conduct peer reviews to elevate the quality of workflows and methodologies.Foster high-performing teams by mentoring members to enhance their technical capabilities.

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