Back to SearchSenior Data Scientist
Data Science
& 6 others
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We are seeking a Senior Data Scientist to transform complex data into actionable insights and machine learning products that drive significant business impact.
You will collaborate with product and engineering teams to frame problems, develop models, and deliver clear data narratives. Join us to leverage your expertise in dashboarding tools and cloud data platforms to shape strategic decisions and innovation.
Responsibilities
- Translate business objectives into clear data science problems with measurable success criteria
- Explore, clean, and integrate complex datasets while engineering high-impact features
- Build, validate, and refine predictive, classification, ranking, NLP, and time-series models
- Design and analyze experiments including A/B and multi-arm tests for reliable causal inference
- Communicate insights effectively through narratives, visualizations, and actionable recommendations
- Collaborate with product and engineering teams to deploy and monitor machine learning models in production
- Develop and maintain scalable dashboards and reporting systems to facilitate real-time business monitoring
- Architect and optimize data pipelines for large-scale data ingestion, transformation, and integration
- Define, implement, and track success metrics for AI-driven features and digital transformation efforts
- Partner with stakeholders to translate data insights into strategic business recommendations
Requirements
- Extensive applied data science experience of 3+ years in production environments
- Strong foundation in statistics, probability theory, and experimental design
- Advanced proficiency in SQL and at least one general-purpose programming language with experience in machine learning libraries
- Experience handling large datasets and familiarity with distributed data processing frameworks
- Expertise in model evaluation, validation, and monitoring using offline and online metrics
- Fluency in data visualization and delivering executive-level communications
- Knowledge of MLOps practices and collaboration with data and platform engineering teams
- Bachelor's or Master's degree in a quantitative field or equivalent experience
- Upper-Intermediate English language proficiency (B2)
Nice to have
- Experience with natural language processing, forecasting, recommendations, or anomaly detection
- Familiarity with causal inference and A/B testing methodologies
- Hands-on experience with feature stores, real-time data processing, or online machine learning systems
- Knowledge of cloud data platforms and modern data warehouses
- Mentoring experience and contributions to cross-team projects