About this role
Lead Data Scientist at Albertsons is responsible for building ML models and data-driven solutions to improve customer experience, optimize operations, and fuel growth across ecommerce and loyalty platforms.
Key Responsibilities
- Identify and deliver predictive modeling and ML tooling for business needs
- Build customer behavior segmentation and recommendation engines
- Apply predictive modeling and survival models to forecast operations and deploy real-time ML
- Convey ML solutions with intuitive visualizations to leadership
- Collaborate with business partners to define data science projects with measurable impact
Technical Overview
The role spans Python, Spark, SQL, Snowflake, Hadoop with cloud affordances via Azure Databricks and Google Cloud. Modeling scope includes regression, ensemble methods, NLP, clustering, and deep learning, with emphasis on production-ready deployment and data storytelling.
Ideal Candidate
The ideal candidate is a senior data scientist with 7+ years applying data science in retail/ecommerce, strong Python and SQL skills, and experience building production-grade ML solutions including personalization and recommendation systems.
Must-Have Skills
Master's or PhD degree in Computer ScienceEngineeringData ScienceMathStatistics or related fields7+ years of industry experience in applying data science and modeling methodologies5+ years of Python and/or Spark-ML5+ years of SQL development skills3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as SnowflakeSparkHadoopExperience with data access tools and building dashboards with large datasets from multiple data sources is a plusExperience with Azure Databricks and Google Cloud is a strong plus
Nice-to-Have Skills
Azure DatabricksGoogle Cloud Platformproduction-ready systemsdashboards
Tools & Platforms
SnowflakeSparkHadoopAzure DatabricksGoogle Cloud PlatformPythonSQL
Required Skills
PythonSQLSparkSpark-MLSnowflakeHadoopAzure DatabricksGoogle Cloud PlatformNLPsurvival modelsregression modelingensemble modelingrecommendation systemspersonalizationmachine learningdeep learningclusteringdashboardsdata access toolsbig datastorytellingcommunication
Hard Skills
PythonSQLSparkSpark-MLSnowflakeHadoopAzure DatabricksGoogle Cloud PlatformNLPsurvival modelspredictive modelingmachine learningdeep learningensemble modelingrecommender systemsdashboardsdata access toolsbig data
Soft Skills
communicationstorytellingbusiness acumenleadershipcollaborationbias for actionself-starterability to distill complex ML solutions
Keywords for Your Resume
Lead Data ScientistData Scientistmachine learningpredictive modelingsurvival modelscustomer segmentationrecommendation enginespersonalizationPythonSQLSparkSpark-MLSnowflakeHadoopAzure DatabricksGoogle CloudNLPclusteringdeep learningproduction-ready systemsdashboardsdata access toolsBig data
Deal Breakers
7+ years of data science experience, Master's or PhD in a quantitative field
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