behavioral research scientist ($140,000-$160,000 + equity) at blok

board certified behavior analyst (bcba) relocation offered

equity research analyst – sec filing specialist

equity research associate analyst $120/hr

behavioral research scientist ($140,000-$160,000 + equity) at blok Jobs in San Francisco

board certified behavior analyst (bcba) relocation offered Jobs in San Francisco

equity research analyst – sec filing specialist Jobs in San Francisco

equity research associate analyst $120/hr Jobs in San Francisco

equity research associate remote Jobs in San Francisco

equity research associate remote

behavioral research scientist 140000 160000 equity at blok

Jack & Jill

<div>
 
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 She will pick the best candidates from Jack's network.
 
 
 
 
 
 The next step is to speak to Jack.
 
 
 
 
 
 Behavioral Research Scientist
 
 
 
 
 
 
 Salary:
 
 $140,000-$160,000 + Equity
 
 
 
 
 
 
 Company Description:
 
 VC-backed AI simulation platform
 
 
 
 
 
 
 Job Description:
 
 
 
 Shape the cognitive and behavioral foundations of AI agents for a cutting-edge simulation engine. This role involves applying scientific depth to model decision-making, attention, and heuristics, impacting how next-generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real-world impact to scalable systems.
 
 
 
 
 
 
 Location:
 
 San Francisco, USA
 
 
 
 
 
 
 Why this role is remarkable:
 
 
 <ul>
 <li>
 Join a team creating category-defining technology, building the simulation layer for adaptive software.
 </li>
 <li>
 Backed by top-tier VCs and product/engineering leaders from leading tech companies.
 </li>
 <li>
 Apply deep behavioral science and cutting-edge AI to solve complex product challenges with immediate impact.
 </li>
 </ul>
 
 
 
 
 
 What you will do:
 
 
 <ul>
 <li>
 Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision-making.
 </li>
 <li>
 Translate behavioral theories into practical agent architectures, defining user clusters and personas.
 </li>
 <li>
 Design and analyze in silico experiments to test agent responses and benchmark simulation realism.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate:
 
 
 <ul>
 <li>
 PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI.
 </li>
 <li>
 Proven experience conducting original research on decision-making or behavioral modeling in digital contexts.
 </li>
 <li>
 Passionate about applying rigorous scientific research to real-world, impactful AI systems.
 </li>
 </ul>
 
 
 
 
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 
 
 
 Next steps
 
 
 
 Step 1. Visit our website
 
 
 Step 2. Click 'Talk to Jack'.
 
 
 Step 3. Talk to Jack so he can understand your experience and ambitions.
 
 
 Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
 
 
 Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
 
 
 Step 6. If not, Jack will find you excellent alternatives. All for free.
 
 
 
 
 
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
</div>

Behavioral Research Scientist ($140,000-$160,000 + Equity) at blok

Uber

<div>About the Role
 
 
We are looking for a data scientist who combines strong quantitative rigor with a deep interest in human behavior. This role sits at the intersection of business analytics consulting and employee listening, shaping company-wide decisions through advanced analytics, survey insights, and behavioral data.
 
 
Role and Responsibilities
 
 
Drive company-level workforce strategy
 
<ul><li>Lead high-impact analytics that inform strategic decisions on engagement, retention, performance, and organizational health
</li><li>Translate ambiguous business questions into structured analytical frameworks and measurable outcomes
</li></ul> 
Apply advanced quantitative methods to people data
 
<ul><li>Use statistical modeling, causal inference, experimentation, and/or machine learning to understand employee behavior and outcomes
</li><li>Work with messy, real-world people data and integrate multiple data sources (survey, HRIS, behavioral data)
</li></ul> 
Evolve employee listening analytics
 
<ul><li>Analyze Uber-wide survey data and behavioral signals (e.g., organizational network analytics)
</li><li>Improve measurement approaches (survey design) and uncover actionable insights on employee experience
</li></ul> 
Influence stakeholders at all levels
 
<ul><li>Communicate complex findings clearly to both technical and non-technical audiences
</li>Act as a thought partner to senior leaders, shaping decisions with data-backed recommendations 
<li>
</li></ul> 
 
What the Candidate Will Need / Bonus Points
- Basic Qualifications - 
 
 
<ul><li>Master's or PhD in a quantitative field (e.g., I/O Psychology, Organizational Behavior, Behavioral Economics, Statistics, Data Science, or related)
</li><li>Proficiency in SQL
</li>2+ years of industry experience using Python or R to analyze large-scale datasets 
<li>
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>PhD with 1+ years, or MS with 3+ years of experience in applied research or data science (ideally in a fast-paced, tech environment)
</li><li>Strong foundation in statistical modeling, causal inference, experimentation, and/or machine learning
</li><li>Background in people analytics, HR data, or behavioral science applications
</li><li>Experience with survey design and measurement, and/or organizational network analysis (ONA)
</li>Demonstrated ability to leverage GenAI tools to automate, augment, or scale data analysis, insight generation, or research workflows 
<li>
</li></ul> 
 
 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Scientist, People Analytics

<div>About the Role
 
 
As an Applied Scientist on the incrementality foundations team within marketing measurement, you will contribute to Uber Marketing Org's commitment to science-backed decision making. This team is responsible for building experiment forms, models, &amp; processes for turning complex hypotheses into reliable, actionable incrementality signals that inform planning, forecasting, and investment decisions across the business. Your work will focus on building robust processes for interpreting measurement data, building foundational models for estimation &amp; inference, and researching experimentation best practices for accurate and complete incrementality measurement. Your work will inform smarter investment and decision-making systems across Uber's Brand and Performance Marketing. This team sits close to production systems, partnering with Product, Engineering, and cross-functional Science teams to ensure incrementality measurement is rigorous, scalable, and decision-ready
 
 
What the Candidate Will Need / Bonus Points
<ul><li>Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs.
</li><li>Design custom tests &amp; analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests.
</li><li>Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data.
</li><li>Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation.
</li><li>Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
</li><li>Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs.
</li><li>Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks.
</li></ul>Basic Qualifications
<ul><li>Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline.
</li><li>2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting.
</li><li>Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods.
</li><li>Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs.
</li><li>Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets.
</li><li>Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central.
</li><li>Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams.
</li><li>Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments.
</li></ul>Preferred Qualifications
<ul><li>Bachelor's, Master's or PhD in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Computer Science), or equivalent applied industry experience.
</li><li>Experience with advanced statistical or modeling techniques such as hierarchical / multi-level models, time-series analysis, or meta-analysis.
</li><li>Experience with incrementality testing, geo-experiments, or marketing measurement use cases (e.g., attribution, MMM, or related frameworks).
</li><li>Familiarity with marketing investment concepts such as elasticity, budget allocation, or cross-channel tradeoffs.
</li><li>Experience contributing to shared codebases or production-adjacent analytics systems, including collaboration with Product or Engineering partners.
</li><li>Ability to independently drive scoped projects end-to-end with guidance, and operate effectively in ambiguous or evolving problem spaces.
</li>Curiosity and learning mindset, with demonstrated ability to ramp quickly on new domains, tools, or methodologies. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Applied Scientist, Marketing Measurement

Prolific

<div>
 <ul>
 <li>
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 </li>
 <li>
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 </li>
 </ul>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you'll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Equity Research Expert 
Type: Contract 
Compensation: $120/hour 
Location: Remote 
Duration: Four weeks 
Commitment: 10+ hours/week
Role Responsibilities<ul><li>
Analyze and extract information from public SEC filings to support AI model training.</li><li>
Evaluate the accuracy and depth of AI-generated content in equity research to improve model outputs.</li><li>
Provide structured feedback to AI research teams to enhance training data quality.</li><li>
Work independently and asynchronously to meet deadlines while improving AI model performance.</li></ul>
Qualifications
Must-Have<ul><li>
At least 2 years of experience in equity research at top firms.</li><li>
Hands-on experience with analyzing and extracting info from public SEC filings.</li></ul>
Start Date<ul><li>
Mid-February</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Equity Research Associate Analyst $120/hr

Sr. Equity Research Analyst $120/hr

Investment Research Analyst

Explore 393+ Behavioral research scientist 140000 160000 equity at blok in San Francisco this March. Find roles across top companies and apply now to boost your career.