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Temporary Product Visualization Jobs (NOW HIRING)

Temporary Data Analyst

Seattle, WA · On-site

$47.39 - $55.19/hr

Data Visualization, Reporting, and Automation Maintain multiple dashboards-with the ability to ... in a production environment Creating clear documentation and supporting user training on data ...

... production studio MarVista Entertainment (The Way Home, Rescuing Christmas), as well as the ... Utilize enterprise-approved AI tools for data visualization and analysis * Generate reporting as an ...

Demand Planner (Temp)

Melville, NY · On-site

$38 - $43/hr

Our products are also used in detection, measurement and imaging applications, including military ... The Temporary Demand Planner will support the Demand Planning team in maintaining accurate ...

Demand Planner (Temp)

Melville, NY · On-site

$38 - $43/hr

Our products are also used in detection, measurement and imaging applications, including military ... The Temporary Demand Planner will support the Demand Planning team in maintaining accurate ...

Professional experience with applied user research and product evaluation. * Experience managing ... Knowledge of data visualization software is a plus. * Familiarity with quantitative research ...

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Temporary Product Visualization information

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How much do temporary product visualization jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for temporary product visualization in the United States is $17.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.75 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Product Visualization jobs? The most popular types of Product Visualization jobs are:
Senior Data Scientist - Analytical Data Product (Short Term)

Senior Data Scientist - Analytical Data Product (Short Term)

Roblox

San Mateo, CA • On-site

Other

Posted 21 hours ago


Job description

WHY DATA SCIENCE & ANALYTICS (DSA)?

The Data Science & Analytics organization's mission is to increase the speed, frequency, and acumen of decision-making at scale. We treat data as a product. By instilling a data-influenced approach to building global features, we bridge the gap between raw telemetry and strategic product roadmaps. Our team covers the full spectrum of the data lifecycle: analytical data engineering, product analytics, experimentation, and machine learning.

WHY ANALYTICAL DATA PRODUCT FOR SOCIAL DSA?

As an Analytical Data Product Scientist, you will own the end-to-end lifecycle of our data assets. You will collaborate with Product Managers, Engineers, and Data Scientists to design and build best-in-class analytical data products. This role is at the intersection of data engineering and product strategy; you will not only build scalable data systems but also ensure they are optimized for discovery, usability, and actionable insights across the organization.

This position is a 6-month temporary role based in our San Mateo HQ office, eligible for overtime pay.

You Will:

  • Analytical Product Ownership: Design and develop "data-as-a-product" solutions, including foundational datasets and self-service analytics tools that empower product teams.
  • Scalable Data Pipelines: Own the development of robust, scalable ETL pipelines that transform raw events into clean, high-fidelity aggregates.
  • Telemetry Product Design: Lead the design of logging and telemetry frameworks for new product launches, ensuring data quality is "built-in" rather than "bolted-on."
  • Infrastructure & Optimization: Optimize existing data ecosystems into consumable products, reducing latency and increasing the reliability of reporting and research.
  • Insight Delivery: Conduct ad-hoc exploratory analysis and create world-class visualizations that translate complex datasets into clear product narratives.

You Have:

  • An advanced or equivalent degree in Computer Science, Mathematics, Statistics or a related discipline.
  • Minimum of 2 years of experience in data engineering, analytical engineering or similar role.
  • Strong data engineering skills, including experience with large datasets, telemetry logging, and data pipeline development.
  • Strong communication, good judgment, growth mindset to solve new and unique challenges with high independence.
  • Experience with metric design, data visualization, including dashboard design and implementation, social product and gaming industry is a plus.