Description
Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com.
We are looking for a Principal Data & Applied Scientist to lead our causal AI decision engine, working across every area of our company, and driving the applied mathematical frameworks and experimentation designs to achieve a best-in-class system. This role reports to our VP of Decision Science and will work with a talented team of executives and experts—including direct-to-CEO visibility and influence over the entire company's roadmap. This team and leader are responsible for the largest learning models at Spreetail and take pride in being the first to solve many practical decision science challenges at scale. You will be looked to as the most senior data scientist in the company and expected to inform and improve our highest priority initiatives that data and decision science can shape.
How you will achieve success:
- Build best-in-class data models and algorithms that drive business actions at a massive scale.
- Your models are flexible and responsive to fast-changing variables or a significant influx or departure of variables from the model.
- Your models are trained, tested, and deployed with quality and efficiency.
- You can break down major initiatives and insights needs into smaller components and tasks.
- The systems you build are documented and easily explained to your business and Technology stakeholders.
- You embody the Science & Technology Principles and use them to guide decisions.
- As a premier data expert in our company, you create an environment of knowledge sharing and growth, placing a high priority on leading and developing others.
What experiences will help you in this role:
- 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 required; expertise preferred
- Advanced-to-expert level experience with “big data” storage and processing technologies (Hadoop, Apache Spark, Azure Synapse, Snowflake, etc.) required.
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
In an effort to Make Spreetail Better, we hire people that are aligned with our values and are passionate about pursuing ecommerce excellence. We believe the right person can learn what is needed to succeed in their role, so we encourage job applicants to apply even if you don't meet all the qualifications listed. We are looking for diverse backgrounds and perspectives, so we don’t require college degrees and welcome non-linear career paths. If this role highlights your experience and gets you excited – please apply!
Not the role for you? Check out additional opportunities to join our team on our job board.
What you can expect from us:
• 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. Learn more about how we work.
• 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. Learn more about our benefits & perks package.
• 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.
Spreetail is committed to a diverse and inclusive workplace. Spreetail is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please email hr@spreetail.com.
Do you hold permanent residence in the any of the following US states? We offer "Work Your Way" roles in these states: Alabama, Alaska, Arizona, Arkansas, Colorado, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Mississippi, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Tennessee, Texas, Utah, Vermont, Washington, West Virginia, and Wyoming.
Applicants must hold permanent residence in any of the above states to work remotely.
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