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Data ScientistAvenue Code • New York, New York, United States
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Data Scientist

Avenue Code
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture. About the opportunity: About the Role We are looking for a Data Scientist - 'Measurement developer'. -with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact. Key Responsibilities- Design and implement measurement frameworks for solutions in production. Apply statistical inference and causal methods (e.g., A/B testing, propensity score matching, instrumental variables). Develop and analyze controlled experiments and observational studies. Collaborate with stakeholders to define KPIs and measurement strategies. Write clean, reproducible code for statistical analysis and reporting. Implement CI/CD principles and manage code repositories using GitHub Enterprise. Required Qualifications Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques. Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels. Experience with A/B testing and experimental design. Familiarity with Databricks or similar enterprise cloud environments. Self-starter with an ownership mindset and ability to work independently. Preferred Qualifications Experience in retail, inventory management, or operations research. Exposure to cloud platforms (Azure, AWS, GCP). “Avenue Code discloses salary range information based on our commitment to fairness and transparency. We consider a wide range of factors such as internal equity, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, business or organizational needs, and others. At Avenue Code, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for a Platform Engineer is from USD 100k to USD 140k per year." Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.
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  • New York, New York, United States

Compétences linguistiques

  • English
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