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Open nowPosted 5 days ago

Senior Data Scientist

snapp21 open roles

Where
Tehran, Tehrān, Iran, Islamic Republic of
Work mode
On site
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Your applicationOpen nowSenior Data Scientistsnapp · Tehran, Tehrān, Iran, Islamic Republic of

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 5 days ago

The posting

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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