Minimum Score Of 62 On The Predictive Success Model Jobs

1,891,025 open positions · Updated daily

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.

Technical Support engineer - DSC APO

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 11, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical expertise in SAP SCM APO. It outlines roles in delivery centers, supply chain optimization, and required skills like S4 HANA and Supply Network Planning.

Package Consultant-SAP Ariba

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This job description outlines a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and leadership in SAP implementation. It highlights career growth opportunities, technical expertise requirements, and team leadership responsibilities.

インダストリーコンサルタント(製造領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 11, 2025

This job description highlights opportunities for career growth at IBM, emphasizing collaboration with global clients, innovative solutions using hybrid cloud and AI technologies, and the importance of creativity and problem-solving. The role involves consulting for manufacturing industries, managing large-scale projects, and leveraging IBM's technology portfolio to drive business transformation.

Solution Architect-SuccessFactors (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth. The role involves designing SAP SuccessFactors architectures, ensuring compliance, and leading cross-functional teams to deliver impactful technology implementations.

【日本IBM】Salesforce Consultant/Architect

Company: IBM

Location: Tokyo, JP

Posted Dec 11, 2025

This job description highlights opportunities for career growth in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and a supportive culture focused on long-term development.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This text describes a FP&A Analyst role at IBM Consulting, emphasizing career growth, collaboration with clients, technological advancements, and professional development opportunities. It highlights responsibilities involving financial planning, data analysis, and process improvement using advanced tools and methodologies.

Principal Engineer - HashiCorp Terraform Core Platform and Providers

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This text describes a senior technical leadership role at IBM focused on shaping Terraform's core functionality and provider ecosystem. The position emphasizes strategic direction, architectural guidance, and execution quality in developing cloud-native solutions. It highlights collaboration with cross-functional teams, technical expertise in distributed systems, and leadership in defining technical standards for millions of users.

Business Development Executive - Oracle

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job posting outlines a Business Development Leader role at IBM, focusing on identifying business opportunities, collaborating with Oracle, and driving revenue growth. It details responsibilities like market research, client relationship management, and proposal preparation, along with required qualifications and skills.

Application Developer-Microsoft Power Platform & .NET

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovate technology solutions. Responsibilities include software development with Microsoft technologies, collaborative problem-solving, and agile learning. The position emphasizes career growth through client collaboration and strategic technology integration.

Software developer

Company: IBM

Location: Ahmedabad, IN

Posted Dec 11, 2025

The role involves developing high-quality software solutions within a collaborative team, utilizing various technologies and Agile principles. Opportunities for growth and innovation are emphasized, with a focus on problem-solving and continuous learning.

IBM Sales Accelerator Program: MEA Storage Sales Specialist - Arabic speaking (including 1 year in Valencia, Spain)

Company: IBM

Location: Valencia, ES

Posted Dec 11, 2025

The IBM Tech Sales Accelerator Program offers ambitious graduates a 12-month structured training path with mentorship, real-world experience, and opportunities to transition into IBM Storage sales roles in key markets. The role emphasizes solution-selling, client relationship management, and collaboration across IBM's ecosystem to drive business growth and innovation.

Senior Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a senior engineering role at IBM focused on developing cloud-native solutions and infrastructure management tools. The position emphasizes collaboration, innovation, and delivering scalable secure solutions for enterprise clients, with opportunities to work on cutting-edge technologies like HashiCorp products.

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.

Related Pages