Minimum Score Of 62 On The Predictive Success Model Jobs

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The Minimum Score Of 62 On The Predictive Success Model category is a catalyst for data‑driven talent acquisition. Companies that deploy AI platforms such as Pymetrics, HireVue, and IBM Watson Talent now require analysts who can read model outputs, validate them with SHAP values, and translate insights into hiring decisions. The demand spike is driven by the need for talent who can bridge predictive analytics with HR strategy.

Typical roles include Predictive Hiring Analyst, Talent Analytics Specialist, and Talent Analytics Lead. A Predictive Hiring Analyst builds feature‑engineering pipelines in Python, trains models on Azure ML, and visualizes results in Tableau. A Talent Analytics Lead orchestrates data ingestion via Azure Data Factory, collaborates with HRIS on integration, and presents executive dashboards using Power BI.

Salary transparency matters because it reveals the true market value of predictive‑model expertise. Junior analysts can expect $70k‑$90k, while senior roles reach $140k‑$200k. Transparent pay sheets help candidates negotiate based on certifications such as the Certified People Analytics Professional (CPAP) or SHRM‑CP, and demonstrate the ROI of advanced hiring analytics.

Infrastructure Specialist-Azure DevOps

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in DevOps, Python, Kubernetes, and Docker. It emphasizes education qualifications and experience in application security, distributed systems, and CI/CD tools.

Delivery Consultant, CICS

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a role at IBM Technology Expert Labs emphasizing collaborative innovation, technical expertise, and career growth. It highlights world-class services, positive impact on clients, and a supportive learning culture. The position requires specialized knowledge of IBM Z systems, CICS, and zOS programming, while offering opportunities to solve complex challenges and advance professionally.

Software Engineer - Open Search

Company: IBM

Location: San Jose, US

Posted Dec 10, 2025

This text promotes an IBM Software career opportunity focusing on AI-powered cloud-native solutions, emphasizing innovation, collaboration with open-source projects, and professional growth. It highlights roles in developing OpenSearch capabilities, working with Apache Cassandra, and contributing to open-source communities while requiring expertise in Java, distributed systems, and cloud technologies.

Technical Lead TS/SCI W/FSP

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights required expertise in technical leadership, system design, and security compliance, while promoting a culture of curiosity and continuous learning.

Application Developer-Oracle Cloud Reports

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation, and technical expertise. The role requires skills in Oracle Cloud reporting and problem-solving, with a culture emphasizing growth and creativity.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity in IBM Consulting focusing on long-term client relationships and digital transformation through agile methodologies. It outlines responsibilities involving HR system management, complex transactions, and compliance with client standards. The role emphasizes collaboration, problem-solving, and technical expertise in SAP HRMS and MS Excel, while highlighting career growth and strategic partnerships within IBM's ecosystem.

Java Software Developer - Product Operations Lead for Red Hat build of Apache Camel (m/f/x)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

The role involves collaborating on AI-powered cloud-native solutions, customer-focused development, and technical expertise in Java and Apache Camel, with opportunities for growth and innovation.

Software Strategy and M&A Summer Intern - New York, NY

Company: IBM

Location: New York, US

Posted Dec 10, 2025

The Software Strategy and MampA intern will support growth initiatives, develop strategies, and collaborate with cross-functional teams. Key skills include data analysis, communication, and teamwork. The position is located in New York or Cambridge with mentorship opportunities.

SAP ABAP Developer (HANA)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in SAP HANA development. It outlines role responsibilities, required skills, and professional growth opportunities within IBM's ecosystem.

Application Database Administrator-NoSQL Cloud Databases

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 10, 2025

The role involves designing mobile solutions using Cassandra, collaborating with teams, and ensuring database performance and reliability through troubleshooting and continuous improvement.

Professional Services Sales Consultant (f/m/x)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job description highlights a career opportunity at IBM Software focusing on innovation, team collaboration, and professional growth. The role emphasizes transforming customer challenges into industry-leading solutions, with a strong emphasis on cloud-native AI technologies and global career opportunities. Responsibilities include sales pipeline management, customer engagement, and solution architecture, requiring expertise in technology sales and cross-functional collaboration.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

The text describes a consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and innovation in delivering solutions. It outlines responsibilities such as developing user-centric solutions, managing risks, and ensuring timely delivery. Required qualifications include experience with Oracle technologies and cloud implementations, while preferred skills involve advanced technical training and integration expertise.

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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