The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
IT Manager, Data Analytics
Houston, TX · On-site
This includes the delivery of dashboards, scorecards, standard reports, ad hoc self-service reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
IT Manager, Data Analytics
Houston, TX · On-site
This includes the delivery of dashboards, scorecards, standard reports, ad hoc self-service reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
This includes the delivery of dashboards, scorecards, standard reports, ad hoc selfservice reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
This includes the delivery of dashboards, scorecards, standard reports, ad hoc selfservice reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
Sr. Reliability Data Scientist
Houston, TX · On-site
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
Sr. Reliability Data Scientist
Houston, TX · On-site
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and ...
IT Manager, Data Analytics
Houston, TX · On-site
This includes the delivery of dashboards, scorecards, standard reports, ad hoc self‑service reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
IT Manager, Data Analytics
Houston, TX · On-site
This includes the delivery of dashboards, scorecards, standard reports, ad hoc self‑service reports, discovery and analysis, predictive analytics, and comprehensive visualizations. Principal Duties ...
Senior Manager Financial Analytics
Fort Worth, TX · On-site
$104K - $142K/yr
This role is responsible for identifying and implementing architecture and tools to deliver financial insights, predictive analytics, and data-driven recommendations that enhance the organization ...
Senior Manager Financial Analytics
Fort Worth, TX · On-site
$104K - $142K/yr
This role is responsible for identifying and implementing architecture and tools to deliver financial insights, predictive analytics, and data-driven recommendations that enhance the organization ...
Apply large-scale data analytics to supplier Track-and-Trace datasets, enabling predictive insights and real-time defect containment. * Define and maintain dashboards for defect trends, supplier ...
Apply large-scale data analytics to supplier Track-and-Trace datasets, enabling predictive insights and real-time defect containment. * Define and maintain dashboards for defect trends, supplier ...
Apply large-scale data analytics to supplier Track-and-Trace datasets, enabling predictive insights and real-time defect containment. * Define and maintain dashboards for defect trends, supplier ...
Apply large-scale data analytics to supplier Track-and-Trace datasets, enabling predictive insights and real-time defect containment. * Define and maintain dashboards for defect trends, supplier ...
Project Manager With Data Analytics
Dallas, TX · On-site
$47.75 - $64.50/hr
Minimum 8 - 10 years of overall experience in Analytics/Data Science space with 5 - 6 years working as Project Managing projects in this area Working knowledge of data mining principles: predictive ...
Project Manager With Data Analytics
Dallas, TX · On-site
$47.75 - $64.50/hr
Minimum 8 - 10 years of overall experience in Analytics/Data Science space with 5 - 6 years working as Project Managing projects in this area Working knowledge of data mining principles: predictive ...
Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns for diagnostic and predictive analytics * Expertise with data workflow tools, solid ...
Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns for diagnostic and predictive analytics * Expertise with data workflow tools, solid ...
They are seeking a Data Scientist to build and manage analytical tools and reports, optimize data processing, and lead advanced modeling and predictive analytics for Merchant Services.
They are seeking a Data Scientist to build and manage analytical tools and reports, optimize data processing, and lead advanced modeling and predictive analytics for Merchant Services.
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Senior Specialist, Loans Modeling & Analytics - Structured Debt/CLO
Houston, TX · On-site
$81K - $101K/yr
Utilize quantitative modeling techniques and predictive analytics to calculate and assess CLO portfolio performance, risk exposures, and stress test under various scenarios. * Work with internal ...
Senior Specialist, Loans Modeling & Analytics - Structured Debt/CLO
Houston, TX · On-site
$81K - $101K/yr
Utilize quantitative modeling techniques and predictive analytics to calculate and assess CLO portfolio performance, risk exposures, and stress test under various scenarios. * Work with internal ...
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions ...
Quick apply
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions ...
Data Scientist, AI
Arlington, TX · On-site +1
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden ...
Data Scientist, AI
Arlington, TX · On-site +1
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden ...
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Data Insights Specialist
Dallas, TX · On-site +1
This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well client facing descriptive and predictive analytics products. Responsibilities include:
Predictive Analytics information
See Texas salary details
$25.2K - $39.8K
4% of jobs
$39.8K - $54.5K
1% of jobs
$54.5K - $69.2K
14% of jobs
$76.6K is the 25th percentile. Wages below this are outliers.
$69.2K - $83.9K
12% of jobs
$83.9K - $98.6K
14% of jobs
The median wage is $102K / yr.
$98.6K - $113.3K
23% of jobs
$118.1K is the 75th percentile. Wages above this are outliers.
$113.3K - $128K
21% of jobs
$128K - $142.7K
2% of jobs
$142.7K - $157.4K
2% of jobs
$157.4K - $172.1K
5% of jobs
$172.1K - $186.8K
1% of jobs
$25.2K
$105K
$186.8K
How much do predictive analytics jobs pay per year?
What is a Predictive Analytics job?
A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.
What are some typical challenges faced in a Predictive Analytics position?
Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.
What are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?
To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

Other
Posted 12 days ago
Job description
POSITION OVERVIEW
Ascend Performance Materials is a global leader in high-performance chemicals, fibers and plastics, committed to enhancing quality of life through innovation. With fully integrated manufacturing facilities across North America, Europe, and Asia, we develop essential solutions that drive safer vehicles, cleaner energy, advanced medical devices, and durable consumer goods. Guided by a strong focus on safety, sustainability, and customer success, we operate responsibly while delivering value through cutting-edge technologies and industry expertise. Join our team and be part of a collaborative environment where your work drives meaningful global impact.
The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and operational performance across Ascend's manufacturing network. Reporting to the Senior Director of Reliability, this role serves as a technical expert within the Reliability organization, transforming maintenance, operational, and process data into actionable insights that reduce downtime, optimize maintenance strategies, and improve asset performance.
TARGETED OUTCOMES
Improve asset reliability and equipment availability through advanced analytics and predictive insights.
Reduce unplanned downtime and maintenance costs through proactive identification of reliability risks and failure patterns.
Establish enterprise reliability dashboards, asset health monitoring tools, and predictive analytics capabilities.
Improve maintenance effectiveness through data-driven optimization of preventive and predictive maintenance programs.
Quantify and communicate the operational and financial impact of reliability improvement initiatives.
RESPONSIBILITIES
Reliability Analytics & Insights
Analyze equipment, maintenance, and operational data to identify reliability risks, failure trends, bad actors, and improvement opportunities.
Develop and maintain reliability dashboards, scorecards, and key performance indicators that support data-driven decision-making.
Conduct statistical analyses, reliability studies, and failure trend evaluations to support reliability improvement initiatives.
Provide actionable insights to reliability, maintenance, engineering, and operations teams to improve asset performance.
Predictive Maintenance & Asset Performance
Support the development and optimization of predictive maintenance programs for critical manufacturing assets.
Analyze condition monitoring data, asset criticality rankings, and maintenance strategies to improve equipment reliability and maintenance effectiveness.
Develop asset health monitoring methodologies, predictive models, and leading indicators of equipment failure.
Evaluate the effectiveness of predictive maintenance technologies and identify opportunities for continuous improvement.
Digital Reliability Solutions
Develop predictive analytics, automated alerts, equipment health scoring systems, and reliability monitoring tools.
Utilize manufacturing, maintenance, and historian data to identify patterns, risks, and performance improvement opportunities.
Apply advanced analytics, statistical techniques, and machine learning methods where appropriate to improve reliability performance.
Partner with technology, automation, and operational teams to expand digital reliability capabilities.
Reliability Program Support
Support reliability improvement initiatives through root cause analysis, performance tracking, and benefit realization reporting.
Develop reporting and analytics that support reliability governance, prioritization, and investment decisions.
Promote best practices and standard methodologies across reliability programs and manufacturing sites.
Quantify operational and financial benefits resulting from reliability and maintenance improvements.
TEAM AND INTERACTIONS
Reports to: Senior Director, Reliability
Works closely with Reliability, Maintenance, Operations, Engineering, Operational Excellence, Technology, and Manufacturing Leadership teams across Ascend's manufacturing network.
REQUIRED EXPERIENCE
Bachelor's degree in Engineering, Data Science, Statistics, Applied Mathematics, Computer Science, Industrial Engineering, or related technical discipline; advanced degree preferred.
Minimum 10 years of experience in reliability analytics, manufacturing analytics, data science, reliability engineering, maintenance engineering, or related industrial roles.
Demonstrated experience developing predictive models, advanced analytics, and digital solutions that improve asset reliability and operational performance.
Experience working with manufacturing, maintenance, operational, and historian data in complex industrial environments.
Experience supporting predictive maintenance, asset performance management, reliability improvement, or operational excellence programs.
Experience influencing cross-functional teams and driving improvements without direct authority.
Chemical, petrochemical, refining, energy, or other continuous manufacturing experience preferred.
REQUIRED SKILLS
Advanced analytical, statistical, and problem-solving capabilities.
Expert proficiency with Power BI, SQL, Python, and data visualization tools.
Experience with SAP Plant Maintenance, Maximo, or similar maintenance management systems.
Familiarity with OSIsoft PI, manufacturing historians, and industrial data architectures.
Knowledge of reliability engineering principles, predictive maintenance methodologies, and asset performance management practices.
Strong communication and presentation skills with the ability to translate complex analyses into actionable business recommendations.
Strong project management and stakeholder management capabilities.
Ability to manage multiple priorities and deliver results in a matrixed manufacturing environment.
At Ascend Performance Materials, we value transparency and fairness in our hiring process. We do not accept unsolicited resumes from third-party recruiters, search firms, or staffing agencies. Any resumes received from such entities will be considered the property of Ascend Performance Materials, and we will not be obligated to pay any fees for such submissions. Our Talent Acquisition Team actively engages with preferred recruitment partners who have established agreements with us. We encourage all interested candidates to apply directly through our official channels to be considered for any open positions.
About Us:
Ascend Performance Materials is the premium provider of high quality chemicals, fibers and plastics. With world scale integrated manufacturing facilities we are able to develop new products from our core technologies, and provide flexibility to respond to the expanding needs of customers. Ascend has global sales and distribution facilities across the globe and six manufacturing facilities globally. As a privately-held company, our people do big things and make big decisions, often much earlier in their careers than at larger companies. Ascend Performance Materials offers team members the opportunity to contribute in big, meaningful ways-all within a stable and growing business.
Why work at Ascend?
Our vision is to be the recognized leader in the nylon 6,6 value chain, creating new possibilities with PA66 for everyone, everywhere, every day. We achieve that through living our Ascend values.
We care. We operate safely with high integrity for our employees, our customers and our communities. Our people are our greatest assets, and our Total Rewards Program extends beyond traditional benefits to include access to on-site medical clinics at our U.S. facilities, a global wellness rewards program and Performance Matters, an employee-driven recognition plan. Our Commitment to Zero demonstrates our belief that is it possible to operate with zero personal injuries, zero process safety incidents and zero environmental releases. And the Ascend Cares Foundation, led by Ascend employees, supports Ascend families in times of need, provides inspiring opportunities for community engagement and facilitates community leadership.
Customer-focused. We exist for our customers; they drive our actions. Their success is our success. Our plastics and chemicals are building blocks that help make everyday essentials safer and more sustainable, and we constantly strive to develop new and innovative products to meet the future needs of our customers. And that customer focus doesn't only apply to the marketplace - it also applies to how we treat our colleagues and our fellow community members.
Better every day. We invest in our people and our processes to improve every day. A2E, our continuous improvement program, guides the way we do business. And this way of problem solving applies not only to our manufacturing practices but also to our commitment to developing our people. You'll see it during your career at Ascend in our leadership development, skills training and mentoring programs
Agile. We think broadly and lead proactively in a constantly evolving organization and industry. Agility doesn't mean simply working quickly - it means critical thinking, creative problem solving and novel approaches to everyday challenges.
One Ascend. All together, with a common set of goals and an eye toward the future. We don't accept silos. We look for ways to share across departments, sites and geography. This means you won't be boxed into a single role at Ascend - you could get the chance to work with teams across the globe to improve the way we serve our people, our customers and our communities.
All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws.