Job Description
Team members in the Data Scientist role at UWM are responsible for modeling complex problems, discovering insights and identifying opportunities using statistics, algorithms, machine learning, and visualization techniques.
Data Scientists work closely with executives, product owners, SME’s, and other business teams to leverage data and help answer critical business decisions. Data Scientists at UWM need to be creative thinkers and propose innovative ways to look at problems by examining and discovering new patterns within our datasets and collaborating with our business stakeholders.
They will need to validate their results using an experimental and iterative approach. Perhaps most importantly, they will need to be able to communicate their insights and results to the business in a clear, concise, and approachable way. They need to be storytellers of their work.
These professionals will need a combination of business focus, data programming knowledge, and strong analytical and problem solving skills, to be able to quickly develop and test hypothesis, and provide conclusions in a clear, structured manner. This role includes the full data science lifecycle from analytic problem definition, through data wrangling, analysis, model development, reporting/visualization development, testing, deployment, and feedback.
What You Will Be Doing - Develop and apply machine learning algorithms to optimize key performance indicators
- Extract actionable insights from large datasets and engineer features that enhance model accuracy and relevance.
- Partner with different stakeholders to translate data-driven models into production-ready solutions
- Work alongside machine engineers to operationalize ML models, ensuring performance consistency and effectiveness in production environments.
- Stay current with ML research and adapt new methodologies to solve complex business problems.
What We Need From You Must Have - Masters degree or PhD in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field
- 5+ years in data science or applied machine learning roles, with demonstrated experience in building and deploying models
- ML Expertise: Proven experience in applying ML
- Product recommendation
- Fraud detection
- Familiarity with Generative AI
- A/B test and experimentation
- Strong proficiency in Python and ML libraries (eg. Scikit-Learn, pandas, numpy)
- Familiarity with ML frameworks such as Tensorflow, PyTorch, SparkML
- Prior experience working with Docker, kubeflow, Kubernetes
- Familiarity with SQL
- Cloud and Data Tool Familiarity: Experience with GCP, Azure, AWS
Nice to Have - Prior work in FinTech desired
- Self-motivated and capable of independent project management
- Analytical mindset with a focused on creating impactful solutions
- Committed to end-to-end ownership of machine learning products
THE PLACE & THE PERKS Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It’s all happening on UWM’s campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement.
It’s no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It’s at the very heart of how we treat each other, our clients and our community. Whether it’s providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life.
From the team member that holds a door open to the one that helps guide your career, you’ll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you’ll be welcomed here. Accepted here. And empowered to Be You Here.
More Reasons You’ll Love Working Here Include - Paid Time Off (PTO) after just 30 days
- Additional parental and maternity leave benefits after 12 months
- Adoption reimbursement program
- Paid volunteer hours
- Paid training and career development
- Medical, dental, vision and life insurance
- 401k with employer match
- Mortgage discount and area business discounts
- Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court
- Wellness area, including an in-house primary-care physician’s office, full-time massage therapist and hair salon
- Gourmet cafeteria featuring homemade breakfast and lunch
- Convenience store featuring healthy grab-and-go snacks
- In-house Starbucks and Dunkin
- Indoor/outdoor café with Wi-Fi
DISCLAIMER All the above duties and responsibilities are essential job functions subject to reasonable accommodation and change. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Team members may be required to perform other or different job-related duties as requested by their team lead, subject to reasonable accommodation. This document does not create an employment contract, implied or otherwise. Employment with UWM is "at-will." UWM is an Equal Opportunity Employer. By selecting “Apply for this job online” you provide consent to UWM to record phone call conversations between you and UWM to be used for quality control purposes.
Job Tags
Full time, Contract work, Outdoor,