Job summary
Job post source
This job is directly from United Wholesale Mortgage
Job overview
The Data Scientist III at United Wholesale Mortgage is responsible for modeling complex problems and deriving insights using machine learning and statistical techniques to support critical business decisions.
Responsibilities and impact
The role involves developing and applying machine learning algorithms, extracting insights from large datasets, collaborating with stakeholders to deploy models, and staying updated with ML research.
Compensation and benefits
The position offers paid time off after 30 days, parental leave, adoption reimbursement, paid volunteer hours, training and career development, medical/dental/vision insurance, 401k with match, mortgage and business discounts, fitness center access, wellness services, and on-site dining options.
Experience and skills
Candidates must have a master's or PhD in a related field, 5+ years of data science experience, expertise in ML including product recommendation and fraud detection, proficiency in Python and ML libraries, familiarity with ML frameworks, Docker, Kubernetes, SQL, and cloud platforms; FinTech experience is a plus.
Career development
The company supports career growth through paid training, career development programs, and encourages end-to-end ownership of ML products.
Work environment and culture
United Wholesale Mortgage emphasizes a supportive, inclusive culture valuing diversity and employee well-being, with a vibrant campus environment and multiple amenities.
Company information
United Wholesale Mortgage is a major mortgage company focused on making home ownership accessible, with a large team and award-winning workplace culture.
Job location and travel
The job is based on UWM's campus with extensive on-site amenities and facilities.
Unique job features
The role includes full data science lifecycle involvement and access to innovative tools and a collaborative environment.
Company overview
United Wholesale Mortgage (UWM) is a leading wholesale mortgage lender in the United States, specializing in providing mortgage solutions through independent brokers. They generate revenue by underwriting and funding home loans, which brokers then offer to consumers. Founded in 1986, UWM has grown to become a significant player in the mortgage industry, known for its technology-driven approach and commitment to customer service. Key historical milestones include their IPO in 2021 and consistent recognition as a top workplace.
How to land this job
Position your resume to highlight your mastery in machine learning, data modeling, and statistical analysis, emphasizing your ability to develop and deploy production-ready ML models as described in the job.
Showcase your experience with Python, ML libraries like Scikit-Learn, TensorFlow or PyTorch, and cloud platforms such as AWS, Azure, or GCP, as these are critical for this role at United Wholesale Mortgage.
Apply through multiple channels including United Wholesale Mortgage's official careers page and LinkedIn to maximize your chances of visibility and consideration for the Data Scientist III role.
Connect with current Data Scientists or team leads at United Wholesale Mortgage on LinkedIn; use ice breakers like referencing recent UWM data initiatives or asking how the team integrates ML models into mortgage lending processes.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning algorithms,' 'model deployment,' 'Python,' 'cloud platforms,' and 'data wrangling' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, locate multiple application portals, and identify LinkedIn connections, allowing you to focus your time on preparing for interviews and networking.
Jennie Johnson works for you!
Here’s what we do to make sure you’re successful:
Targeted Resume Revamp:
We expertly craft your resume to navigate Applicant Tracking Systems (ATS) and showcase your qualifications, making you stand out as a top-tier candidate.
Job Description Dissection:
Unpack the job posting with expert analysis, ensuring your application hits every key requirement.
Bespoke Cover Letter:
Capture the attention of hiring managers with a personalized cover letter that highlights how your skills align perfectly with the job's needs.
Interview Mastery:
Prepare for interviews like a pro with likely questions, strategic answers, and insightful questions for you to ask, setting you apart as an informed candidate.
Direct Application Insights:
Receive tailored advice on the best places to apply, ensuring your applications are seen by the right employers.
Skills and Gaps Assessment:
Identify and close critical skills gaps to position yourself as the best-fit candidate for your ideal job.
Personalized Email Pitch:
Make a memorable first impression with an email template crafted to engage potential employers and initiate meaningful conversations.
In-depth Research Guide:
Leverage comprehensive research tools to gather effective insights on companies, industry trends, and role-specific challenges.
Detailed Company Analysis:
Gain in-depth understanding of your prospective employer, giving you the edge in applications and interviews.
Strategic Candidate Overview:
Understand your unique value and why companies would want to interview you, highlighting your background and positioning.