Machine Learning Scientist
Machine Learning Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Team members in the Machine Learning 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 SMEs 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 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
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line.
- Analyze UWM data sets to identify areas of optimization and improvement of business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models algorithms simulations and predictive modeling to support insights and opportunities for improvement.
- Develop A/B testing framework and test model quality.
- Coordinate with different business areas to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy
WHAT WE NEED FROM YOU
Must Have
- Bachelors degree in Finance Statistics Economics Data Science Computer Science Engineering or Mathematics or related field
- 5 years of experience in statistical analysis and/or machine learning
- 5 years of experience with one or more of the following tools: machine learning (Python MATLAB) data wrangling skills/tools (Hadoop Teradata SAS or other) statistical analysis (Python R SAS) and/or visualization skills/tools (PowerBI Tableau Qlikview)
- 3 years of experience collaborating with teams (either internal or external) to develop analytics solutions
- Strong problem solving skills
- Strong communication skills (interpersonal written and presentation)
Nice to Have
- Masters degree in Finance Statistics Economics Data Science Computer Science Mathematics or related field
- 3 years of experience with R SQL Tableau MATLAB Python
- 3 years of professional experience in machine learning data mining statistical analysis modeling optimization
- Experience in Accounting Finance and Economics
THE PLACE & THE PERKS
Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans Its all happening on UWMs campus where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement.
Its no wonder that out of our six pillars People Are Our Greatest Asset is number one. Its at the very heart of how we treat each other our clients and our community. Whether its 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 youll feel the encouragement and support on day one. No matter your race creed gender age sexual orientation and ethnicity youll be welcomed here. Accepted here. And empowered to Be You Here.
More reasons youll 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 physicians 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 caf with Wi-Fi
DISCLAIMER
Employment Type
Full-Time
