Senior Data Scientist | Supply
Snapp Open At a glance
Senior Data Science role at Snapp. Tehran · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build predictive models with machine learning and AI to improve products and campaign performance
- Bring relevant data sources together to strengthen modeling and inform decisions across the Incentive team
- Turn business needs into analytical plans, design experiments, and use results to guide decisions
- Guide the Commercial team and other stakeholders on predictive modeling and machine learning
- Manage models from feature creation and testing through deployment support and ongoing performance checks
What you bring
- At least three years in data science, business analytics or a related field, solving business problems with data
- Strong Python and SQL skills, including analysis libraries, complex queries, and work with large datasets
- Solid grounding in machine learning, predictive modeling, and deep learning
Who this fits
This senior role suits someone who can connect analytical work to business objectives and collaborate with commercial and cross-functional stakeholders. The position is onsite in Tehran, Iran.
From the employer
The mission of the Data Scientist in the Supply (Incentive) team is to leverage statistical modeling, machine learning, and data-driven approaches to optimize business decisions and improve campaign performance in a dynamic marketplace.
Model Development: Design, develop, and implement predictive models using machine learning and AI techniques to improve the accuracy, efficiency, and effectiveness of internal and external products.
Data Integration: Identify, integrate, and leverage relevant data sources to enhance modeling capabilities, analytical insights, and data-driven decision-making within the Incentive team.
Data & Business Analytics: Translate complex business requirements into analytical frameworks, develop actionable insights, design experiments, and analyze data to support strategic decisions and business growth.
Subject Matter Expertise: Act as a subject-matter expert in machine learning and predictive modeling, providing analytical guidance and sharing knowledge with the Commercial team and other stakeholders.
Model Lifecycle Management: Own the end-to-end machine learning model lifecycle, including feature engineering, model selection, optimization, validation, deployment support, and ongoing performance monitoring.
Business Mindset: Maintain a strong understanding of business objectives, KPIs, and operational challenges to ensure analytical solutions deliver measurable impact and actionable business value.
3+ years of experience in Data Science, Business Analytics, or related fields, with hands-on experience solving business problems through data-driven approaches.
Strong understanding of business logic, KPIs, and data-driven decision-making processes.
Strong attention to detail, commitment to deadlines, ability to manage multiple priorities, and adaptability in a fast-paced environment.
Strong collaborative mindset with the ability to work effectively with cross-functional teams and stakeholders.
Proficiency in Python and data science libraries, including Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, Seaborn, and Matplotlib, for data analysis, modeling, and visualization.
Strong SQL skills with experience working with relational and non-relational databases, writing complex queries, and retrieving and manipulating large-scale datasets.
Solid expertise in machine learning, predictive modeling, and deep learning techniques.
Software & Data Engineering: Familiarity with backend development, APIs, data pipelines, and production programming practices to support the integration and deployment of machine learning models.
Nice to Have:
Market & Business Understanding: Familiarity with research methodologies, market dynamics, and competitive analysis, with the ability to connect analytical findings to business opportunities and strategic decisions.
Collaboration & Communication: Strong communication and collaboration skills, with the ability to work effectively with diverse teams and communicate complex analytical concepts to technical and non-technical audiences.
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