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Predictive Analytics Jobs in Austin, TX (NOW HIRING)

Kemper

Data Scientist

Austin, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs. * Contribute to the improvement of internal modeling ...

Q2

Senior Data Intelligence Solutions Architect

Austin, TX

$66.75 - $89.25/hr

  • Medical

Partner with Insights & Analytics to build dashboards, scorecards, and predictive models that support strategic decisions. * Collaborate cross-functionally to ensure system integration alignment and ...

SolarWinds

Database Marketing Analyst

Austin, TX · On-site

Strong capability in A/B testing, data modeling, predictive analytics, and translating raw data into actionable marketing strategies. * Education: A bachelor's degree in marketing, statistics ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making. * Translate business requirements into technical ...

Salesforce, Inc.

Lead, Workforce Intelligence

Austin, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Exposure to predictive analytics or AI-enabled analytics preferred. * Analytical & Statistical Rigor : Proven ability to conduct sophisticated analyses, test hypotheses, and quantify business impact.

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Predictive Analytics information

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$26.8K

$111.7K

$198.7K

How much do predictive analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for predictive analytics in Austin, TX is $111,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,900.00 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 is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

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 do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

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 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 the most commonly searched types of Predictive Analytics jobs in Austin, TX?

The most popular types of Predictive Analytics jobs in Austin, TX are:

What are popular job titles related to Predictive Analytics jobs in Austin, TX?

For Predictive Analytics jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Austin, TX look for?

The top searched job categories for Predictive Analytics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Predictive Analytics jobs?

Cities near Austin, TX with the most Predictive Analytics job openings:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $111,731 per year, or $53.7 per hour.

AI Data Intelligence Leader - WW Channel Sales

Apple

Austin, TX • On-site

$55.25 - $73/hr

Full-time

Re-posted 4 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's WW Channel Sales & Operations organization builds AI systems that predict optimal coverage, run experiments autonomously, and deliver decision intelligence across all global sales programs. In an increasingly agentic world, these models don't just inform human decisions - they power autonomous agents that act on them at global scale. This role owns the product vision and ML strategy for the decision intelligence platform that enables both people and agents to make better decisions, faster.
Description
You will own CSO's decision intelligence platform end-to-end: defining what it should do, building the ML models that power it, and scaling it globally. This spans predictive coverage models, an experimentation and uplift engine, a unified data management system across all sales programs, and the real-time visibility layer that surfaces automated insights to program leaders.
The primary consumers of your models and intelligence layer are AI agents that make autonomous decisions. This changes what data quality means, what latency is acceptable, and how systems need to be designed. You'll lead a team of data scientists while partnering with a separate data engineering team for pipeline and infrastructure work, and a separate full-stack development team for product surfaces - though increasingly, agents will handle much of the integration and delivery work themselves.
Minimum Qualifications
15+ years in data science, ML, or AI product leadership, with 5+ years managing technical teams
Experience owning ML model portfolios in production - predictive models, experimentation systems, or decision intelligence products with measurable business outcomes
Strong understanding of production data systems (Spark, Databricks, Kafka, Airflow, Snowflake, or equivalent) - sufficient to define requirements, set quality contracts, and partner effectively with a data engineering team
Strong fluency in SQL, Python, and cloud data platforms (GCP/AWS)
Understanding of how AI agents and LLMs consume data: retrieval patterns, context engineering, freshness requirements, and quality guarantees needed for autonomous decision making
Track record of treating data quality as a product feature, not a cleanup task
Proven ability to lead through influence across teams you don't directly manage - especially data engineering and product development teams
Proven ability to translate between technical teams and senior leadership - making complex AI and data concepts concrete and decision-relevant
BS/MS in Computer Science, Data Engineering, or related discipline
Preferred Qualifications
Experience with predictive analytics in retail, channel, or field operations - coverage models, staffing optimization, or demand forecasting
Background in causal inference, experimentation platforms, or uplift modeling
Experience building or leading agentic AI systems in production
Experience scaling ML products globally across multiple markets with varying data availability
Understanding of data privacy and governance in contexts where AI systems autonomously access and act on business data
A design-minded sensibility - valuing simplicity, trust, and user empathy as much as model performance

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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