Principal Data Scientist

Summary

Join Spreetail as a Principal Data & Applied Scientist and lead our causal AI decision engine, impacting every company area. You'll build and deploy large-scale data models, collaborating with executives and experts. This 100% remote role (in select states) requires advanced data science skills and experience with causal inference. The position offers a competitive salary and a comprehensive benefits package, including paid time off, parental leave, and wellness programs. Spreetail values a diverse and inclusive workplace and encourages applications from individuals with diverse backgrounds.

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical, Computer Engineering, or related field AND 6+ years of related experience (e.g., statistics, predictive analytics, research) OR master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 4+ years of related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years of related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
• Advanced-to-expert level skills in Python for statistical programming
• Demonstrated excellence in a data science/modeling role
• Hands-on experience building and deploying end-to-end causal inference models at scale
• Advanced-to-expert level SQL extract (SELECT statements) skills
• Advanced-to-expert level experience with “big data” storage and processing technologies (Hadoop, Apache Spark, Azure Synapse, Snowflake, etc.)

Responsibilities

• Build best-in-class data models and algorithms that drive business actions at a massive scale
• Ensure your models are flexible and responsive to fast-changing variables or a significant influx or departure of variables from the model
• Train, test, and deploy models with quality and efficiency
• Break down major initiatives and insights needs into smaller components and tasks
• Document the systems you build and easily explain them to business and Technology stakeholders
• Embody the Science & Technology Principles and use them to guide decisions
• Create an environment of knowledge sharing and growth, placing a high priority on leading and developing others

Preferred Qualifications

• PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field
• Experience in data applications using large-scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, Hive) and AWS platforms such as S3, Glue, Athena, and Sagemaker
• Previously held a technical leadership role for several complete large-scale initiatives

Benefits

• Generous vacation policy
• Paid time-off for your wedding week
• Paid parental leave
• Support for parents of growing families
• Special gifts each year
• Swag store credit each year
• Donations to a nonprofit of your choice each year
• Spreetail Spotlight Awards
• Affordable medical, dental and vision plans with coast-to-coast coverage
• Free telehealth
• On-demand mental health resources
• Paid time off to give back to the community