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Weekend Machine Learning Jobs in Madison, WI (NOW HIRING)

... and machine learning initiatives * Assist in developing analytical approaches and preparing data for more advanced modeling initiatives Ideal candidates will possess a bachelor's degree in data ...

Working in your own office, surrounded by thousands of high-caliber developers, you'll use modern development methodologies and employ user-centered design, analytics, and machine learning tools to ...

Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap * Work to develop robust and efficient backend ...

Monitor machines during operation to ensure proper performance and output quality. * Visually ... Show up consistently for scheduled weekend shifts and complete assigned duties reliably. Essential ...

Working in your own office, surrounded by thousands of high-caliber developers, you'll use modern development methodologies and employ user-centered design, analytics, and machine learning tools to ...

Working in your own office, surrounded by thousands of high-caliber developers, you'll use modern development methodologies and employ user-centered design, analytics, and machine learning tools to ...

Data Scientist

Madison, WI · On-site

$106K/yr

R, Python, SAS, SPSS, STATA, Tableau, PowerBI, etc.) to construct predictive models or machine learning algorithms; and * Creating infographics, visualizations, or reports conveying insights derived ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... machine learning, and data mining * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Department:

This role spans descriptive analytics (characterizing community trends and benchmarks), predictive analytics (cloud-based machine learning models that show communities where their key metrics are ...

Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications, conference presentations, or technical ...

Experience with machine learning or predictive modeling. * Experience with Power BI, Tableau, or other visualization tools. * Peer-reviewed publications, conference presentations, or technical ...

... machine learning, and data mining * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Department:

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Data Analyst - WI

Madison, WI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.

Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.

Data Analysis (40%)

  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)

  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)

  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)

  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).