Shipt, Inc.
Overview
Shipt, Inc. seeks a full-time Senior Data Scientist. Responsible for using machine learning (ML) and analytics to drive Shipt's business forward. This position requires a Masters degree or equivalent in Data Science, or Statistics and 4 years of experience deploying ML based solutions for business problems. Responsibilities
Apply machine learning and analytics to drive business impact and decision-making. Design multi-stage multivariate experiments using Bayesian optimization and hierarchical A/B testing with dynamic sample rebalancing via Airflow DAGs, including applying synthetic control methods for causal impact analysis in non-randomized settings. Work with TensorFlow, PyTorch, and XGBoost within end-to-end pipelines; deploy models via AWS SageMaker; fine-tune hyperparameters using Bayesian search optimization. Design, develop, and maintain scalable data pipelines for processing large-scale datasets, including implementation of indexing and optimized file formats (including LIBSVM) to achieve significant performance improvements. Lead and mentor data science teams, directing analytical projects, implementing quality control processes, and fostering the professional development of junior data scientists. Work with data science technologies: Python, SQL, Snowflake, Jupyter, Git, AWS (SageMaker, EMR, Elastic Beanstalk), Greenplum, Tableau, PySpark, Pandas, NumPy, SciPy, Matplotlib, ggplot2, Kepler.gl, Flask, Jinja, Adobe Analytics, and Adobe Target. Qualifications
Master’s degree or equivalent in Data Science or Statistics, or an equivalent combination of education and experience; 48 months of experience with the specified technical requirements as described in the job posting. Experience with multi-stage multivariate experiment design, hierarchical A/B testing, synthetic control, and causal impact analysis in non-randomized settings. Proficiency with TensorFlow, PyTorch, XGBoost; experience deploying models via AWS SageMaker; Bayesian hyperparameter optimization. Experience designing and maintaining scalable data pipelines; knowledge of indexing and optimized file formats (LIBSVM). Experience leading and mentoring data science teams and managing analytics projects; including implementing quality control. Strong programming and data analysis skills in Python and SQL; experience with Snowflake, Jupyter, Git, AWS, Greenplum, Tableau, PySpark, Pandas, NumPy, SciPy, Matplotlib, ggplot2, Kepler.gl, Flask, Jinja, Adobe Analytics, and Adobe Target. Additional Information
Telecommuting available from anywhere in the US. HQ at 420 20th St N, Suite 100, Birmingham, AL 35203. Salary: $116,147 to $219,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com.
#J-18808-Ljbffr
Shipt, Inc. seeks a full-time Senior Data Scientist. Responsible for using machine learning (ML) and analytics to drive Shipt's business forward. This position requires a Masters degree or equivalent in Data Science, or Statistics and 4 years of experience deploying ML based solutions for business problems. Responsibilities
Apply machine learning and analytics to drive business impact and decision-making. Design multi-stage multivariate experiments using Bayesian optimization and hierarchical A/B testing with dynamic sample rebalancing via Airflow DAGs, including applying synthetic control methods for causal impact analysis in non-randomized settings. Work with TensorFlow, PyTorch, and XGBoost within end-to-end pipelines; deploy models via AWS SageMaker; fine-tune hyperparameters using Bayesian search optimization. Design, develop, and maintain scalable data pipelines for processing large-scale datasets, including implementation of indexing and optimized file formats (including LIBSVM) to achieve significant performance improvements. Lead and mentor data science teams, directing analytical projects, implementing quality control processes, and fostering the professional development of junior data scientists. Work with data science technologies: Python, SQL, Snowflake, Jupyter, Git, AWS (SageMaker, EMR, Elastic Beanstalk), Greenplum, Tableau, PySpark, Pandas, NumPy, SciPy, Matplotlib, ggplot2, Kepler.gl, Flask, Jinja, Adobe Analytics, and Adobe Target. Qualifications
Master’s degree or equivalent in Data Science or Statistics, or an equivalent combination of education and experience; 48 months of experience with the specified technical requirements as described in the job posting. Experience with multi-stage multivariate experiment design, hierarchical A/B testing, synthetic control, and causal impact analysis in non-randomized settings. Proficiency with TensorFlow, PyTorch, XGBoost; experience deploying models via AWS SageMaker; Bayesian hyperparameter optimization. Experience designing and maintaining scalable data pipelines; knowledge of indexing and optimized file formats (LIBSVM). Experience leading and mentoring data science teams and managing analytics projects; including implementing quality control. Strong programming and data analysis skills in Python and SQL; experience with Snowflake, Jupyter, Git, AWS, Greenplum, Tableau, PySpark, Pandas, NumPy, SciPy, Matplotlib, ggplot2, Kepler.gl, Flask, Jinja, Adobe Analytics, and Adobe Target. Additional Information
Telecommuting available from anywhere in the US. HQ at 420 20th St N, Suite 100, Birmingham, AL 35203. Salary: $116,147 to $219,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com.
#J-18808-Ljbffr