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Behavioral Data Science Jobs in Arizona (NOW HIRING)

Renren

AI-Native Product Manager

Phoenix, AZ · On-site

$90K - $105K/yr

Partner with data science and engineering teams to design and implement AI-powered features ... Conduct user research, analyze behavioral data, and iterate on product experiences to maximize ...

LOFTY INC.

AI-Native Product Manager

Phoenix, AZ

$90K/yr

Partner with data science and engineering teams to design and implement AI-powered features ... Conduct user research, analyze behavioral data, and iterate on product experiences to maximize ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better. We're not just building data pipelines; w ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better. We're not just building data pipelines; w ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better. We're not just building data pipelines; w ...

Intel

Intel Foundry Data Steward/Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

Stay abreast of emerging trends in data science and manufacturing, ensuring Intel remains at the forefront of innovation. Behavioral traits that we are looking for: * Excellent problem solving and ...

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All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Arizona

Behavioral Data Science information

See Arizona salary details

$23.3K

$104.2K

$194.2K

How much do behavioral data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for behavioral data science in Arizona is $104,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,709.00 and $141,748.00 per year, depending on experience, location, and employer.

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

What is a Behavioral Data Science job?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do Behavioral Data Scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What are the most commonly searched types of Behavioral Data Science jobs in Arizona? The most popular types of Behavioral Data Science jobs in Arizona are:
What are popular job titles related to Behavioral Data Science jobs in Arizona? For Behavioral Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Arizona look for? The top searched job categories for Behavioral Data Science jobs in Arizona are:
What cities in Arizona are hiring for Behavioral Data Science jobs? Cities in Arizona with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you

AI-Native Product Manager

Renren

Phoenix, AZ • On-site

$90K - $105K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Type
Full-time
Description
Who are we?
Lofty is a high-growth, global SaaS company serving the residential real estate market. Powered by Agentic AI, our solutions address the daily pain points faced by real estate agents, teams and brokerages, empowering them to launch effective marketing campaigns, capture and convert leads into meetings, and close more deals faster. Our technology helps agents and teams market smarter, respond faster, and close more deals. We eliminate the busywork so agents can focus on what they do best - building relationships and growing their business.
Our newest product, House.ai is revolutionizing residential real estate by building a next-generation portal that unifies brokerage, lending, and property management into a seamless, AI-powered ecosystem. Unlike traditional portals, House.ai acquires traffic through strategic mortgage broker and lender partnerships - giving us access to warm homeowner databases with verified intent and financial capacity. The result? Higher-quality demand, smarter matching, and a more efficient marketplace. Join us on our exciting journey and help shape the future of technology within the real estate space!
What's the job?
We're looking for a highly motivated, AI-Native Product Manager to lead product strategy and execution for the House.ai platform. This role sits at the intersection of AI/ML, marketplace dynamics, and real estate technology. You'll own the roadmap and execution of our next-generation portal as we launch and scale across top U.S. metro markets.
You'll work closely with engineering, data science, design, and GTM teams to build intelligent, data-driven experiences that improve engagement, conversion, and marketplace efficiency.
  • Define and communicate product vision, strategy, and roadmap for House.ai's portal platform, aligning with business objectives and market opportunities
  • Partner with data science and engineering teams to design and implement AI-powered features including personalized home recommendations, predictive search algorithms, intelligent agent matching, and automated home valuation models
  • Own end-to-end user journeys for homeowners, home buyers, agents, and lenders. Conduct user research, analyze behavioral data, and iterate on product experiences to maximize engagement and conversion
  • Build and optimize two-sided marketplace mechanics-balancing supply (agent network) and demand (homeowner leads) while maintaining service quality and network effects
  • Establish key product metrics and success criteria. Run experiments, analyze A/B tests, and use data insights to inform product decisions and prioritization
  • Collaborate with engineering, design, data science, sales, marketing, and operations teams to deliver high-quality products on schedule
  • Work closely with GTM teams on product launches, pilot programs, and market expansion. Support database-driven acquisition strategy through personalized home evaluation reports and engagement campaigns
  • Ensure seamless integration between House.ai portal, Lofty CRM, mortgage systems, MLS data feeds, and property management tools

What's the work location?
You'll be based out of our stunning, light-filled headquarters in the Warehouse District of Downtown Phoenix-a 17,000-square-foot space designed for collaboration, creativity, and connection. You'll work in the office five (5) days per week for hands-on learning and connection with your team.
What's the earning potential ($$$)?
First-year earnings? This role offers a competitive base salary range starting at $90,000 and a 20% bonus with opportunities for growth based on performance.
Requirements
What are we looking for?
  • 3+ years of product management experience, including 2+ years focused on AI/ML-powered products.
  • Experience shipping AI-native features at scale (recommendation engines, predictive models, search, conversational AI, etc.).
  • Strong technical fluency and ability to collaborate effectively with ML engineers and data scientists.
  • Data-driven mindset with experience in analytics, experimentation frameworks, and KPI development.
  • Experience building consumer-facing products with complex, multi-stakeholder journeys including 0-to-1 product launches.
  • Clear communicator who can articulate vision, write detailed specifications, and influence cross-functional teams.
  • Experience in high-growth or 0-to-1 product environments.
  • Real estate, proptech, mortgage tech, or marketplace platform experience, preferred.
  • Two-sided marketplace product experience, preferred.
  • Bachelors degree in a technical field (Computer Science, Engineering, Data Science) or equivalent experience.

Anything else? Absolutely! Benefits and Perks:
This is a place where every day we are inspired by our teammates, encouraging each other to be our best. The environment is friendly and supportive! And we feel it's important to reward our team with competitive pay and benefits. Here are some of the highlights:
  • AI-First Innovation: We're building toward becoming an AI-native company - and our employees are part of that journey. You'll have access to leading AI tools, hands-on learning opportunities, and real-world exposure to how AI is transforming business. We believe the future belongs to those who learn it early - and we invest in helping you do exactly that.
  • Health Insurance: FREE medical coverage for employees for one of our plan options! And the ability to add dependents or choose an alternative plan and still receive a credit to keep costs down.
  • Paid Time Off: Work hard, play hard! In addition to 10 holidays, we offer three weeks of paid time off so that you can achieve a healthy work-life balance.
  • Paternity Leave: We support our team members as they grow their families! Once you qualify for FMLA, you are eligible to receive up to 6 weeks of paid paternity time to bond with a new child.
  • Employee Assistance Program: We are proud to offer free access to SupportLinc, a global platform that provides on-demand care as you navigate personal or professional challenges. This confidential and compassionate support system is available to you and your family members anytime you need help.
  • Team Building: We may work across time zones and countries, but we're still united. We host a monthly schedule of team activities, quarterly town halls, open Q&A sessions, and other special events...so many fun ways for us to connect and support one another.
  • Growth Opportunities: When our people grow...we grow! We offer leadership training, development journeys for core teams, and coaching/mentoring opportunities. Constant growth and development are inherent in our culture.
  • Tools To Do The Job: We ensure you are hooked up with the tools, equipment, and systems you need. We begin the process prior to your start date, so you are ready to rock 'n roll on your first day.
  • What Else? We provide a 401(k) company match and 100% company-paid life/AD&D insurance/short-term disability. Our ultimate goal is to support you and your overall wellness.

Join our growing team and let's have fun building this business together!
Salary Description
$90k - $105k + 20% = $108k - $126k USD

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