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Behavioral Data Science Jobs (NOW HIRING)

CookUnity

Director, Data Science/ML

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

CookUnity

Director, Data Science/ML

Miami, FL

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

CookUnity

Director, Data Science/ML

Boston, MA

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

MrBeast

Data Science Lead

San Francisco, CA · Hybrid

Data Science Lead Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC About Us Beast ... Build the data analysis mechanisms that turn raw user behavior into actionable product insights ...

CookUnity

Director, Data Science/ML

New York, NY

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

CarGurus

Manager, Data Science

Boston, MA

Sitting within the broader Data Science organization, this team is responsible for modeling automotive marketplace dynamics and dealer behavior. The team owns Machine Learning solutions end-to-end ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Communicate model behavior and results into actionable insights to business and technical ...

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How much do behavioral data science jobs pay per year?

As of Jun 25, 2026, the average yearly pay for behavioral data science in the United States is $107,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $146,000.00 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.

More about Behavioral Data Science jobs
What cities are hiring for Behavioral Data Science jobs? Cities with the most Behavioral Data Science job openings:
What are the most commonly searched types of Behavioral Data Science jobs? The most popular types of Behavioral Data Science jobs are:
What states have the most Behavioral Data Science jobs? States with the most job openings for Behavioral Data Science jobs include:
What job categories do people searching Behavioral Data Science jobs look for? The top searched job categories for Behavioral Data Science jobs are:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,376 per year, or $51.6 per hour.
Director, Data Science/ML

Director, Data Science/ML

CookUnity

Remote

Full-time

Medical, Vision, Retirement, PTO

Posted 10 days ago

Job description

About CookUnity:
Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.
Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.
If that mission has you hungry in more ways than one, you've found the right job posting.
The role:
We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics-you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.
You'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution.
Responsibilities:
Strategic Vision & Product Partnership
  • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes
  • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities
  • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems
  • Translate complex product challenges into clear data science problems with measurable success criteria
  • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration
  • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.
Team Leadership & Development
  • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems
  • Foster a culture of innovation, experimentation, and continuous learning within the data science organization
  • Create career development pathways that attract and retain top data science talent
  • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoring
Advanced Analytics & ML Capabilities
  • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey
  • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning
  • Develop causal inference methodologies to understand true incrementality of product changes.
  • Ensure models are observable, explainable where needed, and continuously improved post-launch
Product Measurement & Impact
  • Define product success metrics and measurement frameworks that align with business objectives
  • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance
  • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization
Qualifications:
  • 10+ years of experience in data science, with at least 5 years in leadership roles managing data scientists or ML engineers
  • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling
  • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor
  • Strong product sense and business acumen-ability to identify high-impact opportunities and translate them into data science initiatives
  • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical
  • Excellent communication skills-ability to explain complex technical concepts to non-technical stakeholders and influence product strategy
  • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)
Preferred requirements:
  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field
  • Experience with real-time ML systems and feature stores
  • Background in recommendation systems or two-tower/multi-modal embeddings
  • Familiarity with generative AI and LLM applications in product contexts
  • Experience building data science teams from scratch or through periods of rapid growth
  • Prior work in subscription businesses or retention-focused products
  • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)
What Success Looks Like
  • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership
  • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teams
Learn More About CookUnity
We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles - The values and behaviors that guide how we operate, collaborate, and scale.
We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!
Benefits
Health Insurance coverage
401k Plan
We grow, you grow: Stock Options Plan granted on Day 1
Eligible for a bi-annual performance bonus
Unlimited PTO
5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical
Paid Family leave
Compassionate Leave: 3-5 days each time the need arises
A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly
Wellness perks: access to fitness subsidies to build a healthy lifestyle
AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.
Personalized Spanish coach
Awesome opportunity to join a company that is looking to change how we eat and how chefs work!
Compensation
All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Pay Range for this position
$240,000-$270,000 USD
If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!
CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
A quick note for all candidates
We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously - sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:
  • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people - and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) - never WhatsApp, Telegram, or SMS.
  • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away.

If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity - and we care about keeping your experience (and safety) as genuine as possible.

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