Data Analyst

4 weeks ago

Detroit, Michigan, United States Amrock Full time

About the Role

We are seeking a highly skilled Data Scientist to join our team at Amrock. As a Data Scientist, you will be responsible for performing exploratory data analysis, feature engineering, and predictive modeling to provide actionable insights and strategic direction for business leaders.

The ideal candidate will have a strong background in statistics, machine learning, and data visualization, with experience working with large datasets and developing predictive models. You will be responsible for analyzing and manipulating large sets of data, developing predictive and prescriptive statistical models, and identifying methods for continuous and automated statistical testing.

Responsibilities

  • Analyze, manipulate, and process large sets of data
  • Develop predictive and prescriptive statistical models from large sets of structured and unstructured data
  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
  • Develop machine learning algorithms
  • Apply feature selection algorithms to models predicting outcomes of interest
  • Apply sampling techniques to determine groups to be surveyed
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
  • Create graphs, charts, or other visualizations to convey the results of data analysis
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders
  • Identify business problems or leader objectives that can be addressed through data analysis
  • Identify relationships and trends or any factors that could affect the results of research
  • Identify and propose solutions to business problems using the results of data analysis
  • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest
  • Write new functions or applications to conduct analyses
  • Own the deployment of applicable models for business projects
  • Communicate analyses, conclusions, and solutions clearly to all audiences
  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work, and communicate this information to the project manager
  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models
  • Develop and evangelize best practices for statistical or behavioral models
  • Drive the collection of new data and the refinement of existing data sources
  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses
  • Mentor and train associate data scientists

Requirements

  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure, or GCP
  • 3 years of experience with statistical and data mining tools and methods
  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
  • 3 years of experience working with SQL
  • 3 years of experience working in a UNIX environment
  • 3 years of experience in at least one scripting language (e.g., BASH)
  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
  • 3 years of experience with statistical packages
  • 3 years of experience providing predictive and prescriptive analytics in a business setting
  • Master's degree in mathematics, statistics, computer science, or a related field or equivalent experience
  • Advanced understanding of data visualization libraries
  • Advanced understanding of statistical methodologies for modeling and business analytics

About Amrock

Amrock is a leading national provider of title insurance, property valuations, and settlement services. We are committed to providing innovative solutions and a competitive compensation package to our team members.

We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. We are an equal opportunity employer and are committed to providing an inclusive environment based on mutual respect for all candidates and team members.

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