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 Specialist-SAP HANA FIN FI

Company: IBM

Location: Kolkata, IN

Posted Dec 16, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP systems, and leadership in complex projects. It outlines requirements for experience with SAP FICO, S4HANA implementations, and cross-functional teamwork.

Business Analyst

Company: IBM

Location: Pune, IN

Posted Dec 16, 2025

The role emphasizes innovation, collaboration, and solving complex problems, requiring expertise in HRIS and SAP SuccessFactors.

Java Software Dev (Teleco Domain) Java fullstack

Company: IBM

Location: Dallas, US

Posted Dec 16, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and opportunities for career growth through technical expertise and problem-solving. It highlights roles in software development, DevOps integration, and impactful solutions for innovative companies.

Machine Learning Engineer - IBM Client Innovation Center - H/F

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 16, 2025

This role involves collaborating with global clients to innovate in cloud and AI, offering career growth and technical expertise in cutting-edge technologies. Responsibilities include developing ML pipelines, ensuring compliance, and integrating models with cloud infrastructures. The position emphasizes innovation, teamwork, and professional development in a supportive environment.

Production Engineer

Company: IBM

Location: Markham, CA

Posted Dec 16, 2025

This job description highlights a career at IBM Software focused on transforming customer challenges into solutions through innovative AI-powered cloud-native software. The role involves ensuring platform reliability, automating operations, and collaborating across teams to enhance stability. It emphasizes expertise in Kubernetes, infrastructure as code, and monitoring tools, while offering growth opportunities in a dynamic, innovation-driven environment.

User Researcher

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and diverse benefits including training programs, flexible working arrangements, and career development resources. The company emphasizes innovation, collaboration, and employee well-being through various initiatives and recognition programs.

AWS Cloud Full Stack Application Developer

Company: IBM

Location: London, GB

Posted Dec 16, 2025

IBM CIC offers diverse career opportunities with training, flexible work, and growth. They seek AWS Cloud Full Stack Developers for innovative projects with benefits like certifications, remote work, and career advancement.

Techlead - BPOD - Automation

Company: IBM

Location: RIO DE JANEIRO, BR

Posted Dec 16, 2025

This text describes a career opportunity at IBM Consulting focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves leading automation teams, technical project management, and integrating systems while leveraging IBM technologies. Required skills include experience with automation tools, programming languages, and data analysis, alongside business and behavioral competencies.

Application Developer-Process Management (BPM)

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

This text describes a Data Engineer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and expertise in BPM tools. It outlines responsibilities involving data management, workflow design, and integration with enterprise systems, along with educational and technical requirements for the position.

Application Consultant-Azure Cloud Migration

Company: IBM

Location: Gurgaon, IN

Posted Dec 16, 2025

IBM Consulting offers career growth through client collaboration on hybrid cloud and AI projects, emphasizing innovation and technical expertise. The role involves leading migration solutions, fostering client relationships, and driving impactful technological advancements with a focus on long-term development.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 16, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing hybrid cloud and AI project development, collaboration with global clients, and career growth opportunities. It highlights technical skills required, such as React JS and Agile methodologies, while promoting a culture of innovation and professional development.

Senior Sourcing Professional - Marketing Services

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 16, 2025

This job description outlines a strategic sourcing role requiring extensive experience in marketing services, leadership in category strategies, and expertise in negotiating complex contracts. The position emphasizes performance excellence, team leadership, and compliance with regulations, with preferred qualifications including advanced education and certifications.

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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