Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.

Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.

Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.

Join our team as a Data Scientist II and you will help leading consumer brands use data and technology to discover insights, improve decision-making, and transform their businesses.

As a Data Scientist at Stackline, you will work in a fast-paced team-focused environment developing applied machine learning solutions to provide predictive analytics.

You will use your experience to analyze and glean insights from massive data pipelines, as we process, ingest and cleanse over a billion data points each week.

You will be working closely with Data Engineers, Software Engineers, and Product Management teams to deliver high quality data products. This is a very hands-on analytical role, where a large part of your time is spent writing code, while the remainder is spent architecting, developing, and testing new models.

Responsibilities

• Conduct end-to-end analyses from data requirement gathering to data processing and modeling.
• Architect data and modeling pipelines.
• Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
• Utilize data science techniques to design algorithms for outlier detection.
• Use existing insights and develop new strategies to drive the product strategy.

Minimum Qualifications

• Masters in Mathematics, Physics, Computer Science, or another technical field.
• Demonstrated experience with Python and SQL.
• Demonstrated experience in machine learning tools such as Tensorflow or sklearn.
• 3+ year of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
• 3+ year experience with statistics and probability.

Preferred Qualifications

• Prior experience with big data technologies such as Hadoop or Spark.
• Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
• Ph.D.‍ in Engineering, Mathematics, Computer Science, or another technical field.
• Experience working in a startup, retail, digital advertising, or e-commerce environment.

#LI-HM1

#LI-LS1

Benefits and Perks: It’s important each and every employee feels they are supported and can complete their life’s best work today and in the future. We are investing in each person not only with competitive compensation, but also with industry leading benefits and perks. A few ways we support our employees is by offering:

- 100% paid medical, dental, and vision for employees and qualifying dependents

- Company 401k plan plus matching

- Company paid Life Insurance

- 20 days annually of Paid Time Off (with no accrual or tenure needed)

- 9 Paid company holidays

- 100% Paid Parental leave - 20 weeks for birthing mothers and 12 weeks for all other parents

- Summer Fridays early close at 2pm

- Annual training and development stipend of $1,000 USD

- Fully stocked kitchen snacks with weekly fresh fruit

Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.