Data Scientist
$72K-$120K (Glassdoor est.)
Preferred Qualifications
Masters degree or doctorate in statistics or another applied science field or equivalent experience
Considerable experience with statistical tools and packages (e.g., SAS, SPSS, Minitab, R) and methods to incorporate statistical results into analyses
Proficiency in at least one programming language, such as Python, Java or C/C++
Strong knowledge of statistical methods, particularly in the areas of modeling and business analytics
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Ability to communicate complex quantitative analysis in a clear, precise and actionable manner
Experience with modeling and forecasting
Working knowledge of standard querying with SQL
Advanced hands-on experience with the Microsoft Office suite
Proven track record as a lead resource for the business
Strong written and verbal communication skills
Job Summary

The Data Scientist works with business owners and Technology teams to provide deep analysis and guidance on crucial business opportunities across many areas within the company. They draw upon their knowledge and experience in applied statistics, data mining, modeling and forecasting to ensure that results are accurate and clear, providing actionable opportunities for business leaders. The Data Scientist must be detail-oriented and highly aware of the impact of their analysis and solutions across the company. They take initiative and focus on finding innovative solutions for a myriad of business challenges.

Responsibilities
Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured and unstructured data
Drive the collection of new data and the refinement of existing data sources for deep statistical analysis and modeling
Clean data in preparation for analysis and modeling
Perform statistical summaries and tests for relevant business questions
Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis and other modeling techniques
Translate business opportunities into data-driven machine learning and modeling solutions that revamp the business process
Deploy applicable models into production system for business use
Perform statistical testing to enhance the predictability of deployed models
Summarize conclusions and solutions for presentation
Develop strong relationships with subject matter experts
Develop best practices for experimentation
Who We Are

Amrock is one of the largest providers of title insurance, property valuations and settlement services in the nation. The company is an authorized agent of the highest-rated title insurers in the industry, and its solutions power many of the nation's largest residential lending institutions. Amrock is a preferred provider to five of the top 20 Fortune 100 companies and many of the largest residential mortgage lenders. The company is based in Detroit and retains regional operating centers in Ohio, California, Pennsylvania and Texas.

Disclaimer

This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.
Amrock
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Amrock
