Tech Innovation - UX Researcher - Casablanca at Infomineo

Casablanca, Casablanca-Settat, Morocco -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

UX Research, Design Sprints, Prototyping, Statistical Analysis, Feature Prioritization, Cross-Functional Collaboration, Data Storytelling, Critical Thinking, Figma, Python, SQL, Qualtrics, SurveyMonkey, Statistical Tests, Agile Methodology, User Needs Analysis

Industry

Outsourcing and Offshoring Consulting

Description

About us: Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? About this role: We are builders and learners at heart. At BRAIN, you’ll help shape what we build. We combine clear data, solid engineering, and thoughtful design to solve real problems. Impact from Day One: We don't believe in "busy work." Whether you are building features, deploying infrastructure or researching user needs, your work will directly shape live products and real business outcomes. A Culture of Experimentation: We embrace the scientific method in everything we do. We build, we measure, we learn, and we iterate. Failure isn't punished; it's data for the next breakthrough. Cutting-Edge Tech Stack: From Agentic AI and Kubernetes orchestration to advanced Statistical Modeling, you will work with the tools that define the modern tech landscape. Growth-Oriented Environment: We invest in your potential. You will have mentorship from senior leaders and the autonomy to grow into technical and non technical leadership roles. Agile & Collaborative: We work in fast-paced sprints where engineering, design, and product sit at the same table. We are seeking a data-driven and design-thinking oriented UX Researcher to join our Product team. This role operates at the intersection of discovery, validation, and design. You will not only analyze the "why" and "what," but you will also actively shape the solution. You will be responsible for end-to-end product validation: from facilitating Design Sprints to uncover needs, to prototyping solutions, and finally using rigorous statistical methods to prioritize features. You will be the bridge between user needs, business strategy and the development teams, ensuring we only build what is validated and high-value. Who you are? Innovation & Product Design Plan and Execute Design Sprints: Lead cross-functional Design Sprints or Venture Design sprints. You will guide the cross functional teams through mapping user journeys, sketching solutions, and deciding on the MVP. Identify Needs & Solutions: Facilitate workshops to identify deep user pain points and unmet needs. You are expected to move beyond problem identification and propose tangible solutions to tackle them. Strategy Alignment: Ensure that sprint outcomes align with the broader company goals and business viability. 2. Prototyping & Pre-Development Validation Prototype & Iterate: Create low-to-mid fidelity prototypes (wireframes, click-throughs) to visualize potential solutions immediately following discovery sessions. Validate Before Execution: Conduct iterative testing on these prototypes to validate ideas before development begins. You will be the gatekeeper who ensures engineering resources are not wasted on unproven concepts. Rapid Feedback Loops: Set up quick feedback mechanisms to iterate on product design daily or weekly based on user inputs. 3. Statistical Analysis & Feature Prioritization Feature Prioritization: Design and deploy quantitative surveys specifically aimed at understanding feature and product attribute priorities. You will answer: "Which feature drives the most value?" and "What is the optimal product configuration?" Advanced Methodologies: Utilize methodologies such as Conjoint Analysis, MaxDiff, and Kano Modeling to rank user preferences scientifically. Inferential Statistics: Apply inferential statistics to validate findings. You will be responsible for calculating statistical significance, confidence intervals, and effect sizes. Technical Rigor: Determine if a result is significant (e.g., $p < 0.05$) and explain the business implication. You must be able to differentiate between signal and noise when advising on the roadmap. 4. Cross-Functional Collaboration Partner with Product and Development teams to marry log data with attitudinal survey data. Work closely with Product Managers to translate quantitative insights into actionable improvements. Democratize data by creating accessible dashboards and reports for stakeholders. Who you are? Education & Experience Education: Degree in Statistics, Marketing or a related field. Experience: 2-5 years of experience within product teams. Technical, Statistical & Design Proficiency Prototyping Tools: Proficiency in Figma, or similar tools to create testable artifacts. Statistical Tools: Proficiency in Python (pandas, NumPy, SciPy), R or SPSS. Statistical Knowledge: Proficiency and understanding of parametric and non-parametric statistical tests. Survey Platforms: Proficiency with tools like Qualtrics, SurveyMonkey, Typeform or other similar tools. Data Manipulation: SQL skills to query databases and build dashboards. Soft Skills Facilitation: Strong ability to command a room, guide stakeholders through ambiguity, and run productive Design Sprints. Data Storytelling: The ability to translate statistical concepts into clear, human-centric narratives that aid decision making. Critical Thinking: A healthy skepticism of data. You know when data is "dirty" and how to check for bias. What We Offer: Competitive salary and benefits. Opportunity to lead and shape the development of a critical internal tool using Odoo. A collaborative and innovative work environment. Professional development and career growth opportunities. What is it like to work at Infomineo? If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company’s greatest strength. By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team that values intellectual vitality and creativity. You will learn the best practices and tools in your field of work, as well as how best to leverage AI for more efficiency to enable focusing on generating more impact to a client. You will grow your career and expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company’s development and growth. Within this role, you'll support leading international institutions & companies with the data and information required to fuel key business decisions Equal opportunity employer: Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, trainings and job termination). If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.

Responsibilities

The UX Researcher will be responsible for end-to-end product validation, facilitating Design Sprints, prototyping solutions, and using statistical methods to prioritize features. They will act as a bridge between user needs, business strategy, and development teams to ensure high-value products are built.