Minimum Score Of 62 On The Predictive Success Model Jobs in Remote

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

Senior Front End Engineer - Experimentation

Company: Reddit

Location: Remote

Posted Nov 19, 2025

Reddit is rapidly innovating and growing, with the Experimentation Platform being a critical accelerant. The team is seeking a Senior Software Engineer to help build a world-class experimentation platform, with challenges including designing a UX for product teams, developing high-scale data products, increasing developer efficiency, and collaborating cross-functionally. The role offers the opportunity to work with teams across Reddit and have a huge impact.

Security Software Engineer (L5) - Client Security Integrations

Company: Netflix

Location: Remote

Posted Nov 19, 2025

The text describes Netflix's global entertainment services, security integrations, job opportunities, employee benefits, and commitment to diversity. It highlights the company's infrastructure, security strategies, and workplace culture while outlining compensation structures and inclusion initiatives.

Cloud Solution Architect

Company: Spaulding Ridge

Location: Remote

Posted Nov 19, 2025

The text describes a Cloud Solution Architect role with responsibilities including defining architectural direction, ensuring system integration, leading teams, and enforcing best practices. It outlines requirements for experience with cloud platforms, DevOps practices, and collaboration with stakeholders. The job offers competitive benefits and opportunities for impactful work, emphasizing innovation and professional growth.

Big Data Manager - Professional Services

Company: Databricks

Location: Remote

Posted Nov 19, 2025

The job posting is for a Big Data Manager position in the Professional Services team. The role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology projects. The ideal candidate should have extensive experience with Big Data technologies, people management skills, and experience working across multiple cloud platforms.

Data Scientist (L5) - Performance Marketing

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix promotes its growth as a global entertainment leader with 300 million members, emphasizing original content and data-driven strategies. The job description highlights opportunities for senior data scientists to impact marketing decisions through analytics and innovation.

Customer Success - Team Manager

Company: Canonical

Location: Remote

Posted Nov 19, 2025

Canonical promotes itself as a leading open-source provider with global impact, offering a remote role in Customer Success Team Management. The position emphasizes growth, collaboration, and innovation in a distributed work environment with opportunities for travel and professional development.

Data Scientist (L5) - Mobile & Search

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Member Experience Data Science and Engineering team drives innovations in Netflix's core product experience through data, collaboration with Product and Engineering teams, and leveraging emerging technologies. The role involves shaping the direction of Netflix's core product on Mobile, driving product innovation, and ensuring a coherent overall product experience for members.

Billing Invoice Product Manager

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company offers a wide variety of TV series, films, and games across different genres and languages. Netflix provides a flexible and consumer-friendly billing experience, ensuring transparency, compliance with local regulations, and adaptability to evolving business models. The Billing Invoice Product Manager role is crucial in enhancing Netflix's billing and invoicing systems, collaborating with cross-functional teams to ensure compliance and effective integration with other consumer platforms.

Vice President of People Operations & Talent Acquisition

Company: Modern Health

Location: Remote

Posted Nov 19, 2025

The Vice President of People Operations and Talent Acquisition will lead the People Team, oversee compensation, benefits, payroll, and HRIS, drive talent acquisition strategies, and champion diversity, equity, and inclusion. The role requires 10+ years of HR experience, expertise in compensation and talent acquisition, and a passion for Modern Health's mission.

Engineering Manager - Title and Launch Management

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Title and Launch Management (TLM) team is responsible for building and innovating the technology foundations that enable the ingest, setup, launch, and global distribution of all types of entertainment on Netflix. The company is forming a new team within TLM to automate large-scale content ingestion, replacing existing manual processes. The team will collaborate closely with many partners and stakeholders to orchestrate ingestion, validation, and conformance of assets and metadata across many domains.

Machine Learning Engineer 5 - Platform Forecasting & Optimization

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Machine Learning Engineer to join their data organization and work on improving the performance, reliability, and efficiency of their infrastructure systems. The ideal candidate will have experience in developing and implementing machine learning models, working with large distributed cloud systems, and optimizing infrastructure footprint.

Data Engineer (L5)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They focus on delivering high-quality streaming content across various genres and languages, while continuously improving the user experience. Netflix also emphasizes the importance of data in decision-making and relies on data engineers to build systems for processing and modeling data across various domains.

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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