Research - Internship

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Entry From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research - Internship Spain We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. Predictions is one of the most interesting, least understood spaces in sports betting. Users form probabilistic beliefs, weigh uncertainty, and act on partial information - yet comparatively little is known empirically about how they engage with prediction features: what they expect, what they trust, what frustrates them, and what makes a prediction feel meaningful rather than noise. As a Research Intern on the Predictions team at Super, you will lead scoping research for a product space where the questions are not yet well-formed, user needs are not yet mapped, and design direction has not yet been set. Your findings will directly influence how the product is built. What the role involves Discovery & Problem Scoping Own the exploratory research programme for Predictions: map the space from scratch using secondary research, behavioural data analysis, and primary user research. Conduct in-depth qualitative interviews to understand how users form and act on predictions - their mental models, decision-making heuristics, emotional responses to outcomes, and trust signals around algorithmic, community, and self-generated predictions.

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.