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Valerie Group
Valerie Group
11 – 50 कर्मचारी
B2Bई-कॉमर्सविपणन
Valerie Group प्रत्यक्ष-से-उपभोक्ता ई-कॉमर्स ब्रांडों को विकास संबंधी संचालन तैयार करने और बड़े पैमाने पर बढ़ाने में मदद करता है। कंपनी पेड मीडिया, क्रिएटिव, कन्वर्ज़न रेट ऑप्टिमाइज़ेशन, ईमेल, SEO, प्रौद्योगिकी और रणनीति के क्षेत्रों में अनुभवी मानवीय ऑपरेटरों के साथ अपना स्वामित्व वाला AI इंटेलिजेंस प्लेटफ़ॉर्म जोड़ती है। इसका काम संरचित प्रयोगों पर आधारित है, जिनमें A/B परीक्षण और पायलट कार्यक्रम शामिल हैं। साथ ही, यह प्रदर्शन-केंद्रित क्रियान्वयन को संभावित प्रदर्शन-आधारित पूंजी से जोड़ती है, जिसका उद्देश्य परिणाम प्रदर्शित होने तक स्वामित्व में कमी को टालना है। Valerie Group Shopify, Meta, Google, TikTok और Amazon जैसे प्लेटफ़ॉर्मों के साथ एकीकरण के माध्यम से डिजिटल-नेटिव उपभोक्ता ब्रांडों के साथ काम करता है और मापने योग्य विकास तथा दोहराए जा सकने वाली संचालन प्रणालियों पर ध्यान केंद्रित करता है।
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कंपनी की नौकरियाँ

Data Scientist, Product Analytics & AI — Valerie Group (Hybrid, India)

Lead product analytics, modeling, experimentation, and AI initiatives across Valerie Group’s brands and investment growth platform. Turn SQL and Python analysis into production-ready commercial and product solutions.

INभारतहाइब्रिडपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिक
BigQueryNumpyPandasPythonScikit-LearnSQLTableau

विवरण

  • Lead growth, commercial, and product analytics alongside applied data science and AI initiatives across Valerie Group’s brands and investment growth platform.
  • Establish and monitor product metrics, user behavior, funnels, drop-offs, and feature performance.
  • Turn product questions into structured analyses and practical recommendations.
  • Develop and apply models for segmentation, scoring, classification, recommendations, forecasting, unit economics, incrementality, media effectiveness, and other decision-making needs.
  • Work with Engineering and Data teams to operationalize models and analytical workflows.
  • Use incomplete, imperfect, or banded data while documenting assumptions and identifying significant data gaps.
  • Manage analytical and modeling projects from defining the business problem and data requirements through modeling, validation, deployment, and impact measurement.
  • Design and conduct A/B tests and cohort analyses.
  • Assess the effects of product changes, AI outputs, and workflow adjustments.
  • Create feedback loops that improve product and model performance.
  • Quantify uncertainty, challenge assumptions, and communicate limitations and confidence levels.
  • Specify data requirements for product features and support accurate, consistent, and complete tracking.
  • Partner with Engineering to organize datasets and data pipelines.
  • Find and address gaps in data visibility.

आवश्यकताएँ

  • Six to eight years of relevant analytics or data science experience.
  • Ability to turn ambiguous business, product, growth, or commercial challenges into structured data questions and actionable analytical plans.
  • Experience analyzing product metrics, funnels, and user behavior.
  • Experience developing and applying classification, regression, clustering, scoring, forecasting, and decision models.
  • Demonstrated experience bringing at least one meaningful model or analytical product into business use.
  • Strong understanding of CAC, AOV, COGS, contribution margin, payback period, and breakeven.
  • Advanced SQL skills.
  • Experience working with structured and semi-structured data.
  • Strong working proficiency in Python for data analysis, modeling, experimentation, and automation; equivalent analytics capability in R is also acceptable.
  • Proficiency with pandas, NumPy, and scikit-learn.
  • Experience with A/B testing, statistical analysis, measurement, causality, and impact evaluation.
  • Experience assessing LLM- or AI-generated outputs in product workflows.
  • Experience with Tableau, Power BI, or Metabase is preferred but not required.
  • Experience in a zero-to-one startup environment is preferred but not required.
  • Experience with media mix modeling, incrementality, causal inference, experimental design, or media effectiveness measurement is preferred but not required.
  • Experience with Snowflake, BigQuery, dbt, Triple Whale, Northbeam, or Rockerbox is preferred but not required.
  • Experience deploying machine learning models to production is preferred but not required.

लाभ

  • Competitive compensation package.
  • Access to the tools required to perform effectively.
  • Growth opportunities as Valerie Group expands.
  • Work with meaningful, measurable impact.
  • Significant ownership from the start.
  • Collaboration with experienced founders, operators, and specialists.
  • Inclusive working environment.
  • A role-specific assessment or practical exercise when applicable.

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