Top Data Science Jobs in Milwaukee, WI
Join Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
As a Senior Manager, you'll leverage your data science background to drive compliance monitoring data analytics initiatives and ensure compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
As a Senior Manager in Compliance Monitoring Data Analytics, responsible for leveraging data science background to drive compliance initiatives and confirm compliance with ethical standards and regulatory requirements using advanced data analytics techniques.
The Senior Manager will leverage data science background to drive compliance monitoring data analytics initiatives, confirming compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
Develop predictive models and algorithms to analyze marketing outcomes across multiple channels. Provide analytical support for marketing and advertising campaigns. Work on data prep, model development, deployment, and maintenance to ensure accuracy.
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The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.
Seeking a Data Scientist with a product mindset to collaborate with cross-functional teams in designing and implementing innovative products and features using data science techniques. Responsibilities include algorithm development, testing, and measurement of impact.
Looking for an experienced data science and analytics manager to lead the data science segment of the Marketing Strategy, Analytics, and Data Science team. Responsibilities include building predictive models to inform business strategy and support the development of a data science roadmap.
The Senior Data Scientist at Sensor Tower will leverage digital advertising along with mobile, desktop, and OTT industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution. This solution draws upon large-scale data and allows customers to uncover insights in digital marketing.
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Senior Web Data Scientist role at Square, responsible for leveraging data science and analytics to optimize growth on web surfaces, conduct experiments, distill data into insights, and influence web strategy decisions. Collaborate with Marketing and Engineering teams to drive measurable web strategy goals and site optimizations. Partner with technical subject matter experts within the organization and deliver regular business critical reports on web performance.
Lead the Data Science & Engineering department to foster a data-centric culture, make data-informed decisions, and build data products for Democratic and progressive grass-roots fundraising. Collaborate with leaders, oversee data teams, guide data systems evolution, and build machine learning infrastructure.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
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