Data Scientist III

Pontiac, MI, United States

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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

  • 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

  • Bachelor's 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

  • Master's 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? 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: A/B testing Computer Science Data Mining Economics Engineering Finance Hadoop Machine Learning Mathematics Matlab ML models Power BI Predictive modeling Python QlikView R SAS SQL Statistics Tableau Teradata Testing

Perks/benefits: 401(k) matching Career development Fitness / gym Health care Medical leave Parental leave Wellness Yoga

Region: North America
Country: United States

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