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Predictive Analytics Jobs (NOW HIRING)

$180 - $200/hr

## Director, Procurement Intelligence & Predictive Analytics, GlobalApplylocations: Remote - UStime type: Full timeposted on: Posted Todayjob requisition id: R24187# **About Vantage Data Centers*

Showing results 21-40

Predictive Analytics information

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$27K

$112.7K

$200.5K

How much do predictive analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for predictive analytics in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is predictive analytics?

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 the key skills and qualifications needed to thrive in predictive analytics?

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.

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 degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What cities are hiring for Predictive Analytics jobs?

Cities with the most Predictive Analytics job openings:

What are the most commonly searched types of Predictive Analytics jobs?

The most popular types of Predictive Analytics jobs are:

What states have the most Predictive Analytics jobs?

States with the most job openings for Predictive Analytics jobs include:

Infographic showing various Predictive Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Data Scientist - AI & Predictive Analytics

Western Digital

San Jose, CA โ€ข On-site

$140K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Company Description
WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today.
We're looking for people who want to build, solve, and operate at that level.
Join us and let's shape the future of data.
Job Description
As an Engineering Data Scientist, you'll work alongside software engineers, hardware engineers, and data scientists to develop predictive diagnostic technologies for enterprise hard disk drives deployed in hyperscale cloud environments.
You'll help transform more than 10 TB of manufacturing and telemetry data generated each day into intelligent systems that improve storage reliability and customer uptime.
Your work may include:
  • Building machine learning models that identify early indicators of drive degradation.
  • Developing automated diagnostic algorithms using Python.
  • Analyzing large-scale telemetry from enterprise storage systems.
  • Creating data visualization and engineering analysis tools.
  • Supporting root cause investigations using statistical analysis.
  • Improving existing diagnostic software through automation and code refactoring.
  • Collaborating with engineering teams across hardware, firmware, and software disciplines.
  • Deploying predictive analytics solutions into production environments.

Why This Role Is Different
Most entry-level data science positions focus on dashboards, reporting, or business analytics.
This role is different.
You'll use machine learning and engineering principles to solve complex technical problems that improve the reliability of storage systems supporting some of the world's largest cloud environments.
You'll write production software.
You'll automate engineering decisions.
You'll build predictive technologies that help customers avoid downtime before failures occur.
This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career. Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0-2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.
Qualifications
Currently pursuing or recently completed a Ph.D. Computer Science, Data Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related engineering discipline
Required Technical Skills
  • Python (required)
  • Machine learning
  • Data analytics
  • Statistical analysis
  • SQL or NoSQL databases
  • Analytical problem solving
  • Software development fundamentals
  • Engineering mindset

Preferred:
  • Hadoop
  • Hive
  • Ruby
  • Front-end development
  • Web applications
  • Data visualization
  • Interest in storage systems and HDD technology

Additional Information
WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here.
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be 11/6/26, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
#LI-MT
Compensation & Benefits Details
  • An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
  • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
  • You will be eligible to be considered for bonuses under either WD's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards.
  • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.