Senior Data Scientist

Swiftly; United States; Remoto; USD 78.000 - 89.000; Tempo pieno

Descrizione del lavoro

Swiftly is seeking a Senior Data Scientist to join the Data Science and Analytics team to build and deploy machine learning models powering retail media and marketing measurements. You will own projects end-to-end, from data sourcing in our Databricks lakehouse to producing production-ready pipelines and dashboards for stakeholders.

The role emphasizes marketing analytics, ROAS, incrementality testing, and marketing mix modeling.

Competenze

• 5+ years of professional experience across data science, ML, and data engineering with Python, SQL, and Spark.
• Hands-on experience in marketing or advertising models and production ML pipelines.
• Strong foundation in statistics, experimental design, and causal inference.
• Experience with data warehouses or data lakes and large-scale datasets.

Mansioni

• Build, validate, and A/B test predictive models for marketing and shopper outcomes.
• Develop campaign measurement approaches (ROAS, iROAS, incrementality) and provide actionable recommendations.
• Own end-to-end data science projects from data sourcing to production pipelines.
• Source and process large-scale retail data using Python, Spark, and SQL in Databricks.
• Create dashboards and alerts for model, pipeline, and data monitoring.
• Collaborate with Data Analysts and Data Engineers to ensure accurate reports.
• Identify failure points, oversee the process, and resolve complex data issues.
• Leverage AI tools (e.g., Claude) to improve productivity and quality.

Conoscenze

Python

SQL

Spark

Databricks

ML modeling

A/B testing

Campaign analytics

Formazione

BS in Math/Statistics/CS

Strumenti

Databricks

Grafana

Tableau

Claude

Descrizione del lavoro

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.

Responsibilities Include

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

$7,000 - $8,000 a month

The salary range is based on the candidates experience as it relates to the role.

Deel is the contract of record.

#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,Swiftlyis the place for you.

Equal Opportunity Employer

Swiftly is anEqual Employment Opportunity and affirmatively 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. Reasonableaccommodations areavailable for qualified individuals with disabilities throughout the subsequent application process.