Data Scientist (Norristown)

Compensation

: $81,195.00 - $125,470.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Overview

Contribute to a safer, secure and more sustainable World!

At UL, we know why we come to work. Thousands of us around the world wake up every day with one common purpose to make the world a safer, more secure, and more sustainable place to live. We clear the way for our customers to introduce the latest products, technological advances, and systems in an increasingly complex world so they can provide peace of mind to the market. Our integrity is woven throughout our company and shapes the way we approach and deliver our solutions. We are proud that the work we do every day has a meaningful contribution to society. We continue to build upon our legacy of trusted expertise and partnership to keep our communities safe and secure as we march forward into the future. This helps us to sleep better at night, and we are confident that the millions of people we touch rest easier too.

The Data Scientistadvanced mathematical and statistical concepts and theories to collect and analyze data and construct solutions to complex business problems.This role will performadvanced statistical analysis on experimental or business data to identify, validate and quantify trends or patterns based on guidance from business or research leaders.

Responsibilities

  • Constructs advanced predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results.
  • Designs experiments and methodologies to generate and collect data for business use.
  • Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensors, open data, and social media feeds.
  • Designs experiments, tests hypotheses, and builds models to explore complex business and safety science systems.
  • Conducts data analyses using traditional and complex statistical methods. Designs algorithms and implements software to perform analyses.
  • Aggregates, transforms and integrates multiple data sets to test hypothesis, model complex systems and identify patterns. Prepares and analyzes program/model output to allow for efficient data analysis.
  • Transforms complex data and results into creative graphs, tables, charts and other graphics to present and/or share the data in a compelling and concise manner.
  • Writes methodology, analysis and data insights for research papers, proposals and presentations. Synthesizes all aspects of a data science project to lead non-technical audiences through the goals, methods and implications of the project.
  • Works with business leaders and researchers to suggest other projects and initiatives that will advance the organizations goals.
  • Performs other duties as directed.
  • Qualifications

  • University Degree (Equivalent toBachelorsdegree) in Mathematics, Statistics, Computer Science or a related discipline plus generally 3-5 years of experience in statistical analysis or data science.
  • Several years experience manipulating large datasets and using databases with experience in general purpose programming language such as Hadoop.
  • Ability to develop solutions to loosely defined business or research problems by leveraging pattern detection over large data sets.
  • Experience using machine learning algorithms.
  • Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders.
  • Ability to organize, analyze and correlate data information.

  • Associated topics: data administrator, data analyst, data analytic, data center, data integrity, data quality, data scientist, data warehouse, etl, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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