Senior Data Scientist

Job not on LinkedIn

🔥 34 minutes ago

🇦🇷 Argentina – Remote

💵 $7k - $8k / month

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Swiftly

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🛒 Retail

🛍️ eCommerce

Retail • eCommerce • Advertising

Swiftly is a retail technology company focused on providing an integrated platform for retailers to enhance their digital presence and engage with modern consumers. Its platform offers personalized shopping experiences, loyalty programs, retail media, and e-commerce solutions, enabling retailers to increase sales and build customer loyalty. Swiftly aims to streamline the retailer's digital transformation journey and support brick-and-mortar stores in competing with larger retailers. The company also provides solutions for advertisers to reach their target audience effectively using first-party data and insights. Swiftly has been recognized for its innovative approach in the retail technology space, winning accolades such as the "Best Retail Technology Solution" award in the MarTech Breakthrough Awards.

📋 Description

• Build, validate, and A/B test predictive models driving marketing and shopper outcomes • Develop campaign measurement approaches, including ROAS/iROAS, incrementality and holdout testing, and marketing mix modeling • Translate measurement results into clear recommendations for business stakeholders • Own data science projects end to end, from data sourcing and feature engineering through model development and production machine learning pipelines • Source and process large-scale, multi-tenant retail data using Python, Spark, SQL, and Databricks • Write SQL and create views and tables • Build and maintain upstream pipelines and well-modeled datasets • Define data contracts, quality expectations, and shared metric definitions with analytics and data engineering teams • Implement testing, data observability, and monitoring across machine learning and data pipelines • Monitor data quality, model performance, and drift • Create dashboards and alerts for model, pipeline, and data monitoring • Partner with Data Analysts and Data Engineers to answer data questions and improve report accuracy • Identify failure points and resolve complex data and pipeline issues • Leverage AI tools such as Claude to improve productivity and quality • Participate in a rotating on-call schedule • Perform other related duties as assigned

🎯 Requirements

• 5+ years of professional experience across data science, applied machine learning, and data engineering • Strong Python, SQL, and Spark skills • Hands-on experience working in Databricks • Experience developing marketing or advertising models, including campaign measurement, ROAS, incrementality, marketing mix modeling, attribution, audience/propensity, or uplift modeling • Experience building, deploying, and monitoring predictive and machine learning models in production • Strong foundation in statistics and experimental design, including hypothesis testing, regression, and causal inference • Strong understanding of data modeling, data pipelines, and ETL processes • Hands-on experience building views, tables, and transformations supporting machine learning models and analytics • B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field • Operational experience with large-scale data warehouses and/or data lakes • Ability to collaborate with data analysts, data engineers, and internal stakeholders • Ability to work in an ambiguous, fast-paced environment • Ability to leverage AI tools in day-to-day work • Ability to build well-modeled, documented, understandable, and maintainable data products

🏖️ Benefits

• Compensation aligned with experience • Contract of record through Deel • Remote work arrangement • Full-time contract employment

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