Minimum Score Of 62 On The Predictive Success Model Jobs in Chicago, IL

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Looking for Minimum Score Of 62 On The Predictive Success Model jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Minimum Score Of 62 On The Predictive Success Model position in the Chicago, IL area.

Application Engineer (AbInitio)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover is offering a job opportunity for an Engineer to join the Business Technology Finance Corporate Services Team. The role involves providing technical design and development leadership for applications that build ETL pipelines for transforming, aggregating, and loading financial data into warehouses for downstream reporting. The successful candidate will be involved in developing AbInitio ETL ExtractTransformLead applications, developing and maintaining data-driven solutions, and ensuring proper data governance policies are followed. The role requires excellent communication skills, the ability to understand business vision and translate it into technical artifacts, and oversight on design and implementation of products. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Informatics, Information Security, Information Technology, or a related field, and 3+ years of Information Technology Software Engineering or related experience. Knowledge of Amazon Web Services, Data Warehouse technology, and query languages for relational databases is a plus. Discover offers a competitive total compensation package, including benefits such as Paid Parental Leave, Paid Time Off, 401k Plan, Medical Dental Vision and Health Savings Account, STD Life LTD and AD&D, Recognition Program, Education Assistance, Commuter Benefits, Family Support Programs, and Employee Stock Purchase Plan.

Application Engineer(Splunk/Machine Learning)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover offers a bright future with meaningful work from day one. The company values individuality and encourages growth. The role involves overseeing product design and implementation, analyzing and deploying new features, mentoring junior engineers, and contributing to technology communities. The position requires a Bachelor's degree in a relevant field, 3+ years of experience, and a technical proficiency rating of Competent on the Dreyfus Engineering scale. The base pay ranges from $89,000 to $150,200, with additional incentives. Discover is committed to diversity and inclusion, and offers a range of benefits.

Frequently Asked Questions

What are the typical salary ranges for different seniority levels in the Minimum Score Of 62 On The Predictive Success Model category?
Junior Predictive Hiring Analyst: $70,000–$90,000. Mid‑level Talent Analytics Specialist: $100,000–$140,000. Senior Analyst: $140,000–$200,000. Lead Analyst: $160,000–$220,000. Manager of Talent Analytics: $180,000–$250,000.
What skills and certifications are required to excel in these roles?
Proficiency in Python, R, SQL, and TensorFlow for model development; experience with Pymetrics or HireVue integration; Tableau or Power BI for reporting; Azure Data Factory or AWS Glue for pipelines. Certifications such as Certified People Analytics Professional (CPAP), SHRM‑CP, or HR Analytics Certificate add measurable credibility.
Is remote work available for Minimum Score Of 62 On The Predictive Success Model positions?
Yes—most roles are fully remote or hybrid. Companies prioritize data‑driven talent over location, offering flexible schedules and cloud‑based collaboration tools like Microsoft Teams, Slack, and JupyterHub for remote analytics work.
What does a typical career progression look like in this category?
Start as a Predictive Hiring Analyst, advance to Senior Analyst, then Lead Analyst, followed by Talent Analytics Manager, and ultimately Director of People Analytics. Each step adds ownership of larger data sets, strategic influence, and cross‑functional leadership.
What industry trends are shaping the Minimum Score Of 62 On The Predictive Success Model field?
Key trends include AI bias mitigation frameworks, real‑time hiring dashboards, integration of HRIS with analytics platforms, GDPR‑compliant data handling, and continuous learning systems that update predictive models with new candidate data.

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