Principal Data Scientist

Summary

Join Spreetail as a Principal Data & Applied Scientist to lead our causal AI decision engine, impacting all company areas. You'll build and deploy large-scale data models, ensuring flexibility and quality. This role requires advanced skills in Python, SQL, and big data technologies. The position offers a competitive salary ($180,000 - $250,000 annually), remote work options in select states, and a comprehensive benefits package. You will work with a talented team and have direct-to-CEO visibility. Spreetail values knowledge sharing and employee growth, making this a rewarding opportunity for a senior data scientist.

Requirements

• Hold a 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 hold a 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 hold a 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 have equivalent experience
• Possess advanced-to-expert level skills in Python for statistical programming
• Demonstrate excellence in a data science/modeling role
• Have hands-on experience building and deploying end-to-end causal inference models at scale
• Possess advanced-to-expert level SQL extract (SELECT statements) skills
• Have 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 your models with quality and efficiency
• Break down major initiatives and insights needs into smaller components and tasks
• Ensure the systems you build are documented and easily explained to your 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

• Hold a PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field
• Have 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
• Have previously held a technical leadership role for several complete large-scale initiatives

Benefits

• We provide the flexibility to take care of yourself. Spreetail operates in a work culture that promotes results and encourages taking time off when needed. In addition to a generous vacation policy, we also offer paid time-off for your wedding week, paid parental leave and support for parents of growing families
• We celebrate accomplishments. Each year at Spreetail is a milestone with the opportunity to receive special gifts, swag store credit, or donations to a nonprofit of your choice. We also recognize people pursuing impacts with Spreetail Spotlight Awards
• We care about your Health & Wellness. Spreetail works hard to enhance the employee experience through benefit programs and perks that provide meaningful support. We offer affordable medical, dental and vision plans with coast-to-coast coverage. We also provide free telehealth and on-demand mental health resources
• We create the opportunity to revolutionize your community. We encourage Spreetailers to give back and make a social impact, and we offer paid time off to do it
• $180,000 - $250,000 a year