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Python Data Engineer Jobs

Hormel Foods

Compeer Financial

Onsite

Hybrid

STAFF DATA ENGINEER/DATA ENGINEER – IT (Sales &amp; Marketing) - HORMEL FOODS (AUSTIN, MN, WILLMAR, MN, EDEN PRAIRIE, MN)To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.Hormel Foods Corporation&nbsp;ABOUT HORMEL FOODS — Inspired People. Inspired Food.™Hormel Foods Corporation, based in Austin, Minn., is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include&nbsp;SKIPPY®,&nbsp;SPAM®,&nbsp;Hormel®&nbsp;Natural Choice®, Applegate®, Wholly®, Hormel®&nbsp;Black Label®, Columbus®&nbsp;and more than 30 other beloved brands. The company is a member of the S&amp;P 500 Index and the S&amp;P 500 Dividend Aristocrats, was named on the&nbsp;“Global 2000 World’s Best Employers”&nbsp;list by&nbsp;Forbes&nbsp;magazine for three straight years, is one of&nbsp;Fortune&nbsp;magazine’s most admired companies, has appeared on Corporate Responsibility Magazine’s “The 100 Best Corporate Citizens” list for the 12th&nbsp;year&nbsp;in a row, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement —&nbsp;Inspired People. Inspired Food.™&nbsp;— to bring some of the world’s most trusted and iconic brands to tables across the globe. For more information, visit&nbsp;<a href="http://www.hormelfoods.com" target="_blank">www.hormelfoods.com</a>&nbsp;and&nbsp;<a href="http://csr.hormelfoods.com/" target="_blank">http://csr.hormelfoods.com/</a>.Summary:&nbsp;We are looking for a Staff Data Engineer within the Sales and Marketing domain as part of our Data and Analytics team.&nbsp; This is an exciting opportunity to help grow and modernize analytics at Hormel Foods!&nbsp; The ideal candidate will have strong communication skills and the ability to collaborate across multiple levels of the organization. You will manage multiple initiatives that require creative problem-solving.&nbsp;You will use tools such as Google Cloud Platform, SQL, Python, Incorta, Oracle Business Intelligence, and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics.&nbsp;Additionally, you will engineer reports, dashboards and visualizations using enterprise business intelligence tools (Oracle, Power BI and Tableau).Specific competencies include:<ul style="list-style-type: disc; padding-left: 0px;"><li>Data Structures and Models -&nbsp;Develops the overall database/data warehouse structure based on functional and technical requirements. Develops data collection frameworks for mainly structured and sometimes unstructured data.&nbsp;</li><li>Data Pipelines and ELT&nbsp;-&nbsp;Applies data extraction, loading and transformation techniques in order to connect medium to large data sets from a variety of sources.</li><li>Data Performance -&nbsp;With minimal guidance, troubleshoots and fixes for data performance issues that come with querying and combining medium to large volumes of data. Tests for scenarios affecting performance during initial development.</li><li>Visualizations and Dashboards -&nbsp;Designs and develops reports and dashboards that meet business needs. Leverages visualizations when possible to increase speed to identifying an insight.</li></ul>Responsibilities:<ul style="list-style-type: disc;"><li>Collaborate with Sales &amp; Marketing team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.</li><li>Develop the overall database/data warehouse structure based on functional and technical requirements.</li><li>Engineer physical and logical data models for dimensions and facts within the staging, warehouse, and semantic layers of enterprise data warehouses and platforms.</li><li>Performance tune SQL, Python, Incorta, or Informatica ETL pipelines, as well as Google BigQuery Dataprocs to move data from various source systems and file types into dimensional data models.</li><li>Utilize SQL within Google BigQuery, Informatica ETLs, Incorta pipelines, or Oracle SQL Views to achieve proper metric calculations or derive dimension attributes.</li><li>Engineer schedule and orchestration for batch and mini-batch data loads into enterprise data warehouses and platforms.</li><li>Provide issue resolution and maintenance for various business unit solutions existing in enterprise data warehouses and platforms.</li><li>Use tools such as SQL, Oracle Business Intelligence, Power BI, Tableau, Google Cloud Platform, Python, Incorta, and Informatica ETL to engineer data pipelines and models to enhance enterprise reporting and analytics.</li><li>Engineer dashboards within enterprise business intelligence platforms containing reports and visualizations with intelligent user interface design and flow for the business, ensuring adequate performance.</li></ul>&nbsp;Required Qualifications:<ul style="list-style-type: disc;"><li>Bachelor's degree in Computer Science, MIS, or related area with experience in business intelligence, data engineering, and data modeling.</li><li>4+ years of experience with reading and writing SQL.</li><li>3+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.</li><li>3+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.</li><li>3+ years of experience with data enablement for a Point of Sale or Syndicated Consumption platforms. Preferably, Circana.&nbsp;</li><li>Ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.</li><li>Excellent written and verbal communication skills.</li><li>Excellent organizational and time management skills.</li><li>Tested problem-solving and decision-making skills.</li><li>Strong pattern of initiative.</li><li>Strong interpersonal skills.</li><li>Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.</li><li>Applicants must be authorized to work in the United States for any employer.&nbsp;</li></ul>&nbsp;Preferred Qualifications:<ul style="list-style-type: disc;"><li>Advanced SQL reading and writing skills.</li><li>Experience developing data pipelines and queries within Google Cloud Platform (Google BigQuery) and/or Oracle Databases.</li><li>Experience engineering within a data warehouse or related experience with dimensional data modeling.</li><li>Experience tuning SQL and ETLs.</li><li>Proven ability to gather detailed technical requirements to design and develop business intelligence report solutions from beginning to end.</li><li>Experience with Sales/Marketing/Consumption data.</li><li>Experience with syndicated consumption providers or retailer-focused Point of Sale platforms.</li><li>Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage.</li><li>Experience with Oracle SQL including advanced functions like analytical functions.</li><li>Experience tuning complex SQL and ETLs.</li><li>Experience within a core metadata model (RPD) including the physical, logical, and presentation layers for the enterprise business intelligence platform (OBIEE – Oracle Business Intelligence Enterprise Edition).</li></ul>&nbsp;LOCATION:&nbsp;Austin, MN – Global Headquarters (Preferred). Secondary locations: Willmar, MN and Eden Prairie, MN&nbsp;TRAVEL REQUIREMENTS:&nbsp;Travel may be necessary 10% of the time.<div><div><div>BENEFITS: Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, 401(k) immediate eligible, stock purchase plan, relocation assistance, paid personal time (PTO), FREE two-year community/technical college tuition for children of employees, and more.At Hormel Foods, base pay is one part of our total compensation package and is determined within a range.&nbsp; The base hiring pay range for this role is between $86,500-$137,300 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location. &nbsp;At Hormel we invite difference and diversity in all aspects.&nbsp; We offer a space of support, understanding, and community. &nbsp;We are committed to the journey!&nbsp; Learn more about our progress here:&nbsp;<a href="https://www.hormelfoods.com/about/diversity-and-inclusion/" target="_blank">https://www.hormelfoods.com/about/diversity-and-inclusion/</a>Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.</div></div></div>

Staff Data Engineer/Data Engineer - IT (Sales & Marketing) Hormel Foods (Austin, MN, Willmar, MN, Eden Prairie, MN)

Staff Data Engineer/Data Engineer

Bachelor's degree in Computer Science or related; 4+ years SQL; 3+ years data warehousing/ETL; 3+ years Python/ETL tooling; 3+ years data enablement for Point of Sale or syndicated data; strong communication and problem-solving skills; US work authorization; sponsorship not provided.

DATA ANALYST/ASSOCIATE DATA ENGINEER – IT (AUSTIN, MN/WILLMAR, MN/EDEN PRAIRIE, MN)&nbsp;&nbsp;HORMEL FOODS CORPORATIONTo save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.&nbsp;&nbsp;ABOUT HORMEL FOODS&nbsp;Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®,&nbsp;Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Wholly®, Hormel® Black Label®, Columbus®,&nbsp;Jennie-O®&nbsp;and more than 30 other beloved brands. The company is a member of the S&amp;P 500 Index and the S&amp;P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News &amp; World Report, one of America’s most responsible companies by Newsweek, recognized by TIME magazine as one of the World’s Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visit <a href="http://www.hormelfoods.com/" target="_blank">www.hormelfoods.com</a>.&nbsp;&nbsp;SUMMARY:Individuals interested in this position will support a dedicated business domain: our Data Engineering team within the Data and Analytics Office, and will require strong initiative, communication, and interpersonal skills.&nbsp;Specific competencies include:<ul style="list-style-type: disc;"><li>Data Structures and Models&nbsp;- Performs enhancements to modeling techniques with direct supervision. Special analysis may be conducted using standard statistical and/or data visualization techniques.</li><li>Data Pipelines and ELT&nbsp;- Collates and analyzes data. Transforming database requirements into logical data models. Developing physical data models to define the database structure.</li><li>Data Performance&nbsp;- Collects and reports management data to support decisions on day-to-day operations and specific business performance issues.&nbsp; Compiles, sorts and organizes data in preparation for subsequent analysis. Helps to identify and resolve any data quality issues through allocated data cleaning and testing tasks.</li><li>Visualizations and Dashboards&nbsp;- Uses a limited range of BI and data analysis tools to provide visualizations and reports within a comparatively structured reporting framework.&nbsp; Collaborates with internal clients and other team members to understand business requirements and support the development of routine and ad-hoc reports and dashboards in line with these requirements.</li></ul>&nbsp;Level of position determined based on qualifications and experience.&nbsp;&nbsp;&nbsp;RESPONSIBILITIES:<ul style="list-style-type: disc;"><li>Collaborates with business and technical team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.</li><li>Translates functional requirements into data model and pipeline needs.</li><li>Provides issue resolution and maintenance of existing business unit solutions in the enterprise data warehouses.</li><li>Engineers data models for dimensions and facts within the staging and warehouse layers, ensuring grain, keys, and source-to-target mappings follow established patterns.</li><li>Supports development in the semantic/presentation layers used by enterprise BI tools.</li><li>Engineers and performance‑tunes basic data pipelines, moving data from various source systems and file types into dimensional models.</li><li>Utilizes SQL within Python, Informatica, Google BigQuery, and Oracle SQL Views to perform metric calculations or derive dimension attributes.</li><li>Develops scheduling and orchestration for batch full and incremental loads into enterprise data warehouse platforms, following established standards and patterns.</li><li>Develops components within the core metadata model—physical, logical, and presentation layers—used by enterprise BI platforms.</li><li>Engineers dashboards and visualizations that apply simple, intuitive UI designs and support core Supply Chain reporting needs.</li></ul>&nbsp;QUALIFICATIONS:Required:<ul style="list-style-type: disc;"><li style="line-height: 107%;">Bachelor’s degree in computer science, Data Analytics, MIS, or related field, and experience in&nbsp;business intelligence and data warehouse development.</li><li>2+ years of SQL experience (reading and writing SQL for analysis or transformation).</li><li>2+ years of experience working in a business intelligence/reporting tool such as Tableau, PowerBI, or OBIEE.</li><li>1+ year of experience developing ETLs or integrations using tools such as Python, Informatica, SSIS.</li><li>Proficient written and verbal communication skills.</li><li>Proficient organizational and time‑management skills.</li><li>Demonstrated problem‑solving ability.</li><li>Strong initiative and interpersonal skills.</li><li>Applicants must not now, or at any time in the future, require sponsorship for a work visa.</li><li>Applicants must be authorized to work in the United States for any employer.&nbsp;</li></ul>&nbsp;Preferred:<ul style="list-style-type: disc;"><li>Proficient SQL skills.</li><li>Experience with Supply Chain data and processes (ERP orders, inventory, WMS/TMS, procurement, manufacturing, logistics).</li><li>Experience developing data pipelines and queries within Google Cloud Platform (BigQuery) and/or Oracle databases.</li><li>Experience engineering within a data warehouse or hands‑on dimensional modeling experience.</li><li>Experience tuning SQL and ETLs.</li><li>Proven ability to gather detailed requirements and deliver BI/reporting solutions end‑to‑end.</li></ul>&nbsp;LOCATION:&nbsp;Austin, MN / Willmar, MN / Eden Prairie, MN&nbsp;A comprehensive relocation package to the above areas will be offered, if required.&nbsp;At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for the Data Analyst/Associate Data Engineer role is between&nbsp;$70,900 - $104,050 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.BENEFITS:&nbsp;Other components of Hormel Foods’ total compensation package includes comprehensive medical, dental and vision coverage,&nbsp;discretionary annual merit increases, bonuses and profit sharing, 401(k) with employer match, stock purchase plan, relocation assistance, paid time off, free two-year community/technical college tuition for children of employees, and more.&nbsp;TRAVEL REQUIREMENTS:&nbsp;10% of the time&nbsp;&nbsp;For immediate consideration, apply online at:&nbsp;<a href="http://www.hormelfoods.com/careers" target="_blank">www.hormelfoods.com/careers</a>&nbsp;At Hormel we invite difference and diversity in all aspects.&nbsp; We offer a space of support, understanding, and community. &nbsp;We are committed to the journey!&nbsp; Learn more about our progress here:&nbsp;<a href="https://www.hormelfoods.com/about/diversity-and-inclusion/" target="_blank">https://www.hormelfoods.com/about/diversity-and-inclusion/</a>&nbsp;Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Data Analyst/Associate Data Engineer - IT (Austin, MN/Willmar, MN/Eden Prairie, MN)

Data Analyst/Associate Data Engineer

Bachelor’s in computer science/Data Analytics/MIS; 2+ years SQL; 2+ years BI tools; 1+ year ETL (Python/Informatica/SSIS); strong communication; US work authorization; visa sponsorship not offered.

<div class="content-intro">Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.
How we support you:
<ul>
<li>Hybrid model – up to 50% work from home</li>
<li>Flexible schedules including ample flexibility in the summer months</li>
<li>Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)</li>
<li>Benefits: medical, dental, vision, HSA/FSA, life &amp; AD&amp;D insurance, short-term and long-term disability, wellness program &amp; EAP</li>
<li>Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off</li>
<li>Learning and development programs</li>
<li>Mentorship programs</li>
<li>Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)</li>
<li>Professional membership/certification reimbursement and more!</li>
</ul>
Casual/seasonal &amp; intern team members are not eligible for benefits except for state-mandated programs.
To learn more about Compeer Financial visit&nbsp;<a href="https://www.compeer.com/careers">www.compeer.com/careers</a>.&nbsp;</div>Where you will work: 
This position offers a hybrid work option (up to 50% remote) and is open to any Compeer office location in&nbsp;<a href="https://www.compeer.com/branch-locations" target="_blank">Illinois, Minnesota and Wisconsin</a>.
The contributions you will make:&nbsp;
This position is responsible for developing, optimizing, and maintaining credit decision strategies to support the organization's lending goals while mitigating risk. The incumbent leverages data analytics, predictive modeling, and industry insights to create robust credit strategies that ensure responsible lending practices, enhance client experience, and drive business growth. Leads the development and evolution of automated credit decisioning, including the application of machine learning and artificial intelligence.&nbsp;
A typical day:&nbsp;
Cross-Functional Delivery and Alignment • &nbsp; &nbsp;Collaborates across the organization to ensure credit decision strategies align with broader organizational objectives and client needs. • &nbsp; &nbsp;Facilitates communication across departments to ensure consistency and clarity in implementing automated lending strategies. • &nbsp; &nbsp;Communicates strategic vision, roadmap, and progress updates to senior leadership and executives, highlighting how credit decision strategies support business growth and innovation. • &nbsp; &nbsp;Develops presentations and reports that translate complex analytics and strategy outcomes into actionable insights for decision-makers. • &nbsp; &nbsp;Leads discussions with stakeholders about emerging trends in automated lending, machine learning, and artificial intelligence, advocating for forward-thinking approaches to credit decisioning. • &nbsp; &nbsp;Establishes feedback loops with stakeholders (e.g., underwriting teams, client service, sales) to gather insights on the performance and impact of credit decision strategies. • &nbsp; &nbsp;Evaluates and manages relationships with external vendors and partners (e.g., credit bureaus, alternative data providers, decisioning platform providers) to ensure smooth integration and optimization of third-party tools and data sources.
Credit Strategy Development • &nbsp; &nbsp;Develops and maintains a strategic roadmap for the evolution of automated credit decisioning processes, focusing on scalability, efficiency, and innovation. • &nbsp; &nbsp;Identifies opportunities to integrate machine learning models into credit decision strategies to improve predictive accuracy, automate processes, and reduce manual intervention. • &nbsp; &nbsp;Leverages artificial intelligence to explore advanced data patterns, enabling more personalized and dynamic credit strategies. • &nbsp; &nbsp;Continuously evaluates emerging technologies, industry trends, and competitive practices to ensure the organization remains up-to-date with automated lending innovation. • &nbsp; &nbsp;Works closely with analytics, credit, and business technology teams to design and implement AI-driven solutions that enhance decisioning capabilities. • &nbsp; &nbsp;Develops and test new credit decision prototypes, leveraging advanced analytics and machine learning algorithms. • &nbsp; &nbsp;Serves as a thought leader within the organization, advocating for data-driven, forward-thinking approaches to credit strategy development and automated lending processes.
Decision Engine Optimization • &nbsp; &nbsp;Translates credit decision strategies into actionable rules and logic within decision engines, ensuring alignment with business objectives, regulatory requirements, and risk appetite. • &nbsp; &nbsp;Designs and implements automated workflows within decision engines to reduce manual intervention and improve operational efficiency. • &nbsp; &nbsp;Collaborates with analytics team to incorporate machine learning models into the decision engine, enabling dynamic and adaptive decisioning based on real-time data inputs. • &nbsp; &nbsp;Continuously refines decisioning rules, scorecards, and thresholds to maximize predictive accuracy, minimize default rates, and enhance client approval processes. • &nbsp; &nbsp;Develops and implements monitoring frameworks to track decision engine performance, identify anomalies, and ensure consistent results across all credit products and segments. • &nbsp; &nbsp;Designs decision engine processes to be scalable and adaptable to new products or markets, ensuring long-term sustainability of automated lending operations. • &nbsp; &nbsp;Partners with business technology teams to optimize decision engine infrastructure, ensuring seamless integration with data pipelines, underwriting systems, and other platforms.
Continuous Improvement • &nbsp; &nbsp;Regularly evaluates the performance of existing credit decision strategies, identifying areas for optimization to improve accuracy, efficiency, and client satisfaction. • &nbsp; &nbsp;Incorporates lessons learned from past initiatives, portfolio trends, and market conditions to refine strategies and adapt to changing business needs. • &nbsp; &nbsp;Stays abreast of advancements in machine learning, artificial intelligence, and data analytics tools, proactively identifying opportunities to enhance credit decisioning processes. • &nbsp; &nbsp;Uses advanced data analytics and real-time insights to continuously improve credit decisioning strategies, such as refining scorecards, optimizing rules, and updating risk thresholds. • &nbsp; &nbsp;Future-proofs decisioning systems by designing adaptable strategies that can evolve with technological advancements and shifting client expectations. • &nbsp; &nbsp;Conducts regular post-implementation reviews of credit decision strategies and system updates to evaluate their success and identify improvement opportunities. • &nbsp; &nbsp;Researches and incorporates alternative data sources (e.g., payment history, utility bills) to expand credit decisioning capabilities.
The skills and experience we prefer you have:&nbsp;
• &nbsp; &nbsp;Bachelor’s degree in business, computer science, information systems, mathematics, statistics, economics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Master’s&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;degree, preferred. • &nbsp; &nbsp;Minimum 12 years of experience in credit risk management or credit decision modeling or advanced decision analytics. • &nbsp; &nbsp;Minimum 5 years of specialized experience managing credit decisioning engine platforms.
• &nbsp; &nbsp;Expert expertise in credit risk management and automated lending decision frameworks. • &nbsp; &nbsp;Expert expertise in credit decision engine platforms (FICO preferred), including rule development, workflow design, and system optimization. • &nbsp; &nbsp;Proven ability to design and implement end-to-end credit decisioning strategies, including integration of predictive models into production environments. • &nbsp; &nbsp;Strong understanding of model governance, validation, and regulatory considerations (e.g., fair lending, explainability). • &nbsp; &nbsp;Experience leveraging diverse data sources, including credit bureau and alternative data, within enterprise data ecosystems. • &nbsp; &nbsp;Demonstrated ability to monitor, evaluate, and continuously optimize credit strategies using data-driven insights and testing methodologies. • &nbsp; &nbsp;Strong business acumen with the ability to balance risk, growth, and client experience objectives. • &nbsp; &nbsp;Demonstrated ability to influence cross-functional stakeholders and communicate complex analytical concepts to both technical and non-technical audiences. • &nbsp; &nbsp;Experience with analytical tools (e.g., Python, SQL) preferred.
How we will take care of you:
Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.
&nbsp;<div class="content-pay-transparency"><div class="pay-input"><div class="title">Base Pay</div><div class="pay-range">$118,500&mdash;$180,000 USD</div></div></div><div class="content-conclusion">Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.
<a href="https://compeermedia.blob.core.windows.net/storage/compeer/media/sharedmedia/hr/1federalposter.pdf" target="_blank">Click here to view federal employment laws applicable for applicants.</a></div>

Prin Credit Decisioning Strategist

Credit Decisioning Strategist

12+ years in credit risk/decision analytics; 5+ years managing credit decisioning engines; expert in automated lending and machine learning integration.

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