Senior Applied Researcher

inDrive

. Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization .

Posted 10/22/2026full-timeLimassol • CyprusSenior💰 €70,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and modeling, with a strong focus on marketplace efficiency and predictive modeling. Capable of collaborating with engineering teams to implement scalable solutions and monitor market performance through advanced metrics and KPIs.

Highest-signal resume keywords

Data AnalyticsPredictive ModelingCollaboration With EngineeringMarket Performance MetricsCausal ML Approaches

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Market ResearchKPI DevelopmentHypothesis ValidationRoot Cause AnalysisModeling Supply-Demand DynamicsExperimental DesignTime-Series AnalysisDynamic Causal MethodsStochastic ModelingDouble-Robust Estimators

Soft Skills

Strong JudgmentProblem SolvingIndependent Operation

Industry Keywords

Marketplace GrowthAdvanced Analytics FrameworksProduction MonitoringFeedback LoopsUnit Economics

About the role

Key responsibilities & impact

Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization
Develop and refine metrics, dashboards, and KPIs to monitor market performance and guide strategic decisions
Generate and validate hypotheses to address key market challenges, presenting insights and actionable recommendations to stakeholders
Investigate anomalies and deviations in key metrics, identifying root causes and proposing solutions
Build predictive models and advanced analytics frameworks to forecast market trends and inform resource allocation
Own marketplace efficiency problems end-to-end, from problem formalisation through modelling, deployment, and production monitoring
Operate independently on complex problem areas and make explicit trade-offs between competing objectives
Partner closely with engineering to deliver robust, scalable solutions

Requirements

What you’ll need

4–7 years of industry experience in data analytics, data science, applied research, or PhD + 2–4 years post-PhD in industry
End-to-end ownership of individual marketplace models, policies, or decision mechanisms
Strong judgment in trading off model fidelity, latency, robustness, and business impact
Proven ability to move from abstract problem formulation to production-grade decision logic
Hands-on experience collaborating with engineering teams on deployment, iteration, and monitoring
Demonstrated ability to reason about system behavior under uncertainty, delayed feedback, and partial observability
Modeling supply-demand dynamics as stochastic, partially observed, feedback-driven systems; formalizing unit economics, service quality, and LTV as state variables and objectives
Design and analysis of experiments under interference, spillovers, feedback loops, and adaptive policies (e.g., switchbacks, clustered interventions)
Practical experience with DiD, panel methods, synthetic control, double-robust estimators, and causal ML approaches in production settings
Ability to distinguish short-term experimental uplift from long-run equilibrium shifts and cumulative feedback effects using time-series and dynamic causal methods

Benefits

Comp & perks

Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs