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60 Dice Data Scientist Jobs Hiring Near You

As part of a team of specialists, the data scientist will "slice and dice" data using various methods and create new visions for the future. Objectives of this role * Collaborate with product design ...

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

GovCIO is seeking a Senior Data Scientist to support a critical government computer system for the ... DICE Posted Salary Range USD $133,000.00 - USD $169,000.00 /Yr.

NY · On-site

$120 - $170/hr

We slice it, we dice it, and we use it to empower our decision-making. As a Product Data Scientist, you'll be the analytical backbone of one or more product pods. You'll own measurement and reporting ...

NY · On-site

$180 - $260/hr

We slice it, we dice it, and we use it to empower our decision making. About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data ...

A bachelor's degree in finance, data science, or economics. * 3-5 years' experience in analyzing ... RobertHalf, Dice, Ladders, MetTel, Business Analytics, Business Intelligence Analyst ...

Analytical capabilities to slice and dice data and display data in reports for the best user ... A bachelor's degree in Computer Science or a related field. 6 to 7 years of experience working with ...

Analytical capabilities to slice and dice data and display data in reports for the best user ... A bachelor's degree in Computer Science or a related field. 6 to 7 years of experience working with ...

... dice data and display data in reports for the best user experience. • Demonstrated ability to ... Required : • A bachelor's degree in Computer Science or a related field. • 6 to 7 years of ...

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

SPA has an immediate need for a Data Analyst. #FC #Dice Responsibilities The Data Analyst will ... Required Qualifications * Bachelor's degree in Engineering, Computer Science, Mathematics ...

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Data Visualization Engineer - Advanced Engineering

Dice

Newark, OH • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Kaiser Aluminum is known around the world for its superior quality, and they are seeking a Manufacturing Data Visualization Engineer to join their Advanced Engineering team. The role focuses on improving operational performance by creating clear visualizations of manufacturing data for various stakeholders, enabling data-driven decision-making and enhancing overall efficiency.
Responsibilities:
• Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
• Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
• Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
• Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
• Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
• Collaborate on visualization design such that existing best practices are reused
• Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
• Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
• Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
• Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
• Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
• Maintain alignment with cybersecurity, access control, and data governance requirements
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
• Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
• Five years' visualization development experience, preferably in manufacturing or industrial settings
• Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
• Competent with T-SQL and database theory and structures
• Basic knowledge in networking and client-server transactions
• Broad contemporary understanding of information technologies and trends
• Demonstrated experience with MBSE and documentation, sysML or like
• Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
• Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
• Ability to work incrementally and comfortable with collaboration and peer review
• Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
• Proven ability to manage concurrent development tasks
• Excellent problem solving, investigative, experimental, and statistical analysis skills
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
• Manufacturing experience is a plus.
• Exposure to Digital Twins a plus.
Company:
Dice offers a marketplace that enables direct connections between recruiters and technologists. Founded in 1990, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.