Job Description

Posted on:

October 27, 2024

Amrock, LLC, a Rocket Companies® entity, is a leading national provider of title insurance, property valuations, and settlement services. Here, you’ll be given all the resources and support needed to deliver innovative solutions, and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today and see how Amrock can help you propel your career!

Minimum Qualifications:

  • 3 years of experience working with large data sets in 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 (e.g., clustering, PCA, SVMs)
  • 3 years of experience working with SQL
  • 3 years of experience working in a UNIX environment
  • 3 years of experience in a scripting language (e.g., BASH)
  • 3 years of experience in Python and a strongly typed language (e.g., C++, Java)
  • 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 and statistical methodologies for modeling and business analytics

Job Summary:
As the Data Scientist, you'll be responsible for:

  • Performing exploratory data analysis, feature engineering, and predictive modeling to provide actionable insights for business leaders.
  • Delving into large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge and develop methods to leverage that knowledge.

Responsibilities:
Key responsibilities include:

  • Analyze, manipulate, and process large data sets.
  • Develop predictive and prescriptive statistical models.
  • Identify methods for continuous and automated statistical testing to enhance model predictability.
  • Develop machine learning algorithms and apply feature selection algorithms.
  • Utilize sampling techniques and statistical performance metrics to evaluate models.
  • Create visualizations to convey results and deliver presentations to stakeholders.
  • Identify business problems and propose solutions through data analysis.
  • Test, validate, and reformulate models to ensure accurate predictions.
  • Communicate analyses and conclusions clearly to all audiences.
  • Advise project teams on application improvements and develop best practices for modeling.
  • Drive the collection of new data and refine existing data sources.
  • Collaborate with engineering and product teams and mentor associate data scientists.

Benefits and Perks:
Our team members fuel our strategy, innovation, and growth, ensuring the health and well-being of you and your family. We are proud to offer eligible team members a range of perks and health benefits for peace of mind.

Who We Are:
Rocket Companies® is a Detroit-based company made up of businesses providing simple, fast, and trusted digital solutions for complex transactions. We are committed to an inclusive workplace where every voice is heard, and we’ve received numerous recognitions for our workplace culture.

Disclaimer:
This outline highlights the primary responsibilities of this position and can change at any time. We are proud equal opportunity employers and committed to an inclusive environment. Employment decisions are not based on personal characteristics protected by law. We provide reasonable accommodations to qualified individuals with disabilities. If you need assistance with your job search or application process, please visit our FAQ page at www.myrocketcareer.com/how-we-hire/faqs/ for more details on how to contact our team.

Secret insights

Amrock is growing fast with a 50% increase in headcount to 1205! Engineering expanded 20%, indicating a serious push for tech talent. Strong HR team shows they prioritize employee care. Ideal for AI job seekers!