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.

Package Consultant-Oracle Finance Cloud

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This role involves working in IBM's delivery centers, developing partnerships, and requiring Oracle Cloud experience. Responsibilities include technical solutions, testing, and training. Candidates need a bachelor's degree and 5+ years of relevant experience.

Site Reliability Professional

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description highlights a Site Reliability Engineer role at IBM with responsibilities in system monitoring, troubleshooting, deployment, and security. It emphasizes growth opportunities, collaborative environments, and required skills in automation, Linux, and cloud technologies.

Package Consultant-SAP HANA SCM QM

Company: IBM

Location: Ahmedabad, IN

Posted Dec 10, 2025

This job description outlines a role in IBM Consulting focused on integrating packaged technology solutions for clients, with emphasis on SAP implementation and quality management processes. The position requires expertise in SAP HANA, cross-module integration, and business process understanding, along with educational qualifications ranging from a bachelor's to master's degree.

Event Streams Site Reliability Engineer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 10, 2025

The text describes a Site Reliability Engineer role at IBM's Cloud PaaS team in Dublin, highlighting opportunities to work on cutting-edge cloud infrastructure, leadership in cloud technology, and collaboration with industry experts. It emphasizes required skills in Kubernetes, Kafka, Terraform, and DevOps tools, while showcasing IBM's commitment to innovation and global-scale solutions.

Estágio em Tributos Indiretos

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 10, 2025

This internship at IBM Consulting offers career growth through client collaboration, skill development, and diverse responsibilities like research and analysis in a supportive environment.

Application Database Administrator-RDBMS (AMS PES SRE)

Company: IBM

Location: QUEZON CITY, PH

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 database management. It outlines responsibilities such as database administration, performance optimization, and incident management, along with required skills like SQL server and Windows server expertise.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting, highlighting collaboration with global clients, innovation in hybrid cloud and AI, and professional growth through technical expertise and cross-industry projects. It emphasizes strategic SAP solutions, customer success, and career development in a dynamic environment.

Global Creative Director, Brand Identity

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job posting outlines the role of a Global Creative Director at IBM, focusing on leading brand identity and design systems. It emphasizes innovation, global collaboration, and the evolution of IBM's brand to reflect its technological advancements. The position requires leadership in design systems, AI-powered tools, and managing distributed teams while maintaining brand consistency across the organization.

Client Experience Manager - Sports Entertainment

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

IBM leverages technology to enhance sports and entertainment experiences, focusing on event strategy, client engagement, and global partnerships. The role requires strategic thinking, project management, and compliance expertise to drive business objectives.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

This job description outlines a Big Data Engineer role at IBM Consulting, involving development of data solutions, infrastructure management, and collaboration with data scientists. It lists required skills in Hadoop, Spark, Python, and cloud technologies, along with preferred qualifications like DevOps experience and advanced degrees.

Application Developer - STUDENT CONVERSION

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 10, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful software development. It highlights roles in designing scalable solutions and working within IBM's ecosystem.

SWE: Toward Autonomous Data Management with AI Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

IBM Research offers an internship focused on developing autonomous data management systems using AI and large language models. The role involves working with foundation models, knowledge graphs, and generative AI tools for DataOps. Ideal for students in computer science with experience in AI, programming, and data systems, the opportunity emphasizes innovation and real-world impact in a collaborative environment.

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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