Swiftly is the AI platform purpose-built for retail, serving retailers, wholesalers, and brands. Swiftly's AI agents unify data, automate workflows, and power the marketing that drives measurable business growth. Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 million products, and the closed-loop campaign outcomes of 33,000 stores.
Trusted by leading retailers, wholesalers, and hundreds of iconic brands, Swiftly unifies data across the retail ecosystem to accelerate growth and power the connected, personalized experiences that drive lasting shopper loyalty.
Position Summary:
Swiftly is searching for a Senior Data Scientist to join our Data Science and Analytics team to build and ship machine learning models that power retail media and marketing measurements. This role will own data science projects end to end, from sourcing and shaping data in our Databricks lakehouse to developing models and delivering monitored, production-ready pipelines, with a strong understanding of the upstream data infrastructure and datasets that support machine learning. A key focus is marketing analytics: working closely with analytics and data engineering teams to measure and improve campaign performance across channels using approaches such as ROAS, incrementality testing, and marketing mix modeling. The ideal candidate is a curious problem solver who prioritizes data quality, observability, testing, and monitoring, collaborates well across teams, and is comfortable leveraging AI tools like Claude in their day-to-day work.
This is a full-time contract role. We use Deel as the employer of record and contract.
Build, validate, and A/B test predictive models that drive marketing and shopper outcomes
Develop and improve campaign measurement approaches, including ROAS/iROAS, incrementality and holdout testing, and marketing mix modeling, and translate results into clear recommendations for business stakeholders
Own data science projects end to end: data sourcing, feature engineering, model development, business-friendly output, and a production machine learning pipeline
Source and process large-scale, multi-tenant retail data using Python, Spark, and SQL in Databricks, including writing SQL and creating views and tables
Build and maintain upstream pipelines and well-modeled datasets that support downstream models, partnering with analytics and data engineering teams to define data contracts, quality expectations, and shared metric definitions
Implement testing, data observability, and monitoring across machine learning and data pipelines, including data quality, model performance, and drift checks
Create dashboards and alerts for model, pipeline, and data monitoring
Partner with Data Analysts and Data Engineers to answer data questions, offload repeatable processes, and help ensure reports are accurate
Proactively identify failure points, own the whole process, and solve complex data and pipeline issues
Leverage AI tools (such as Claude) in day-to-day work to improve productivity and quality
Participate in a rotating on-call schedule
Other related duties as assigned
5+ years of professional experience across data science, applied machine learning, and data engineering, with strong Python, SQL, and Spark skills, including hands-on experience working in Databricks
Hands-on experience developing marketing or advertising models, such as campaign measurement (ROAS, incrementality), marketing mix modeling, attribution, or audience/propensity and uplift modeling
Experience building, deploying, and monitoring predictive and machine learning models in production
Strong foundation in statistics and experimental design (e.g., hypothesis testing, regression, causal inference)
Strong understanding of data modeling, data pipelines, and ETL processes, with hands-on experience building the views, tables, and transformations that support machine learning models and analytics
B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field
Operational experience working with large-scale data warehouses and/or data lakes
Proven ability to collaborate with data analysts, data engineers, and internal stakeholders, and to work in an ambiguous, fast-paced environment
Ability to leverage AI tools in day-to-day work
Build data products that are well-modeled, documented, and easy to understand and maintain
Experience in marketing, retail, CPG, e-commerce, or retail media/ad tech
Experience designing and analyzing A/B tests, holdout and geo experiments, and incrementality studies
Experience with Databricks platform capabilities
Experience with LLM, embedding, or NLP-based approaches (e.g., product classification or matching), including using tools such as Claude
Experience with data visualization, observability and monitoring dashboards (e.g., Grafana or Databricks SQL dashboards or Tableau)
Experience with ad-hoc analysis and data visualization
#LI-Remote
Working For Swiftly
We are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment.
Every Swiftly employee:
-Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment
-Takes ownership of their domain from the ground up, from inception through deployment to customers
-Leaves their ego at the door and ensures the best idea leaves the room
-Is always experimenting with new technologies and learning new skillsets
If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you.
Equal Opportunity Employer
Swiftly is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process.
