We are looking a Senior Data Scientist to join our data team. This position has responsibility for day-to-day operations of pricing and monetization analytics, supporting other team members to achieve unit objectives.
Key Responsibilitie:
Lead end-to-end data science projects, translating complex business and product questions into well-defined analytical problems and metrics.
Conduct advanced exploratory data analysis to uncover hidden patterns, risks, and strategic growth opportunities.
Develop, validate, and deploy predictive machine learning models in production, specifically focusing on demand forecasting and price optimization.
Estimate price elasticity and willingness-to-pay across various segments to deliver actionable pricing and promotion recommendations.
Design and implement mathematical price optimization approaches that effectively balance revenue, margin, and volume constraints.
Measure the impact of promotional actions, lift, and cannibalization using advanced causal inference methods (e.g., difference-in-differences, synthetic control).
Design, execute, and interpret controlled experiments (A/B testing) and randomized price/promotion experiments.
Build reliable data pipelines, analytical datasets, and decision-support dashboards using Python to empower commercial teams.
Review analytical work across the department, providing technical guidance and mentorship to less-experienced team members.
Drive the continuous improvement of internal data science processes, modeling standards, and analytical rigor.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative discipline.
At least 4 to 5 years of professional experience in data science, statistical analysis, or applied machine learning roles.
Advanced proficiency in Python for data analysis, modeling, and visualization.
Strong foundation in statistical inference, experimental design, causal inference, and model evaluation techniques.
Experience with pricing, demand modeling, elasticity estimation, or revenue/margin optimization.
Demonstrated ability to independently drive analytical projects in environments with incomplete or evolving requirements.
Experience communicating analytical findings clearly and effectively to technical and non-technical stakeholders, including translating pricing analysis into commercial recommendations.
Strong collaboration skills and a high standard of analytical quality and documentation.
Preferred Qualifications:
Experience with advanced mathematical or probabilistic modeling (e.g., Bayesian hierarchical models for elasticity or demand).
Demonstrated experience designing and analyzing randomized controlled experiments, including pricing or promotion experiments.
Familiarity with optimization methods (linear/nonlinear programming) applied to pricing or resource allocation.
Familiarity with recommender systems or personalization problems, including personalized or segment-level pricing.
Experience with adaptive experimentation methods, such as multi-armed bandits, including their application to dynamic pricing.
Domain experience in retail, e-commerce, FMCG, or marketplace environments.
زرینو، مالک و توسعهدهندهی دو نام تجاری «Herlife» و «Pindis» است. هرلایف، اپلیکیشنی است که در زمینهی سلامت و سبک زندگی و همینطور آگاهیبخشی در حوزهی زنان فعالیت میکند و پیندیس، پلتفرمیست که به کسبوکارهای خرد کمک میکند تا تجربه و خرید بهتری برای مشتریان خود خلق کنند.
چشمانداز ما تولید، توسعه و رشد محصولات فناورانهایست که راهکارهایی نوآورانه برای حل مشکلات بزرگ داشته باشند. ما محصولات تازه و برندهای جدیدی خلق میکنیم که زندگی را برای همکارانمان، مشتریانمان، و جامعهمان دلنشینتر میکنند. ماموریت ما، ارائهی راهکارهای نوآورانه و مبتنی بر فناوری در مسیر رشد و توسعهی زنجیرهی ارزش در حوزههای سلامت، بهداشت و سبکزندگی و همچنین زنجیرهی تأمین محصولات است.
خالق قصه، روایتگر ارزشهاییست که خود را با آنها متعلق میداند. ما در زرینو خود را به ارزشهایمان پایبند میدانیم و همواره اجرایشان میکنیم تا شنیدنیترین قصهها را بسازیم. این یکپارچگی وجودی، باارزشترین دارایی ماست و در ذهن شنونده، «برند» ما را میسازد. ما در زرینو مشتریمحوریم؛ صراحت تمامعیار داریم، اعتمادسازی میکنیم، نتیجهگراییم و درنهایت تفکرمان؛ تفکر رشد است.
ما قصههای ملموس و میراث ماندگار میسازیم. خالق این قصه ماییم!