Job Location: Seattle, WA
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.
As a Data Scientist, 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 role, where a large part of your time is spent writing code, while the remainder is spent architecting, developing, and testing new models.
We’re looking for applied data scientists to come in ready to explore our diverse array of datasets in order to develop models that have direct impact on our products.
Responsibilities
- Conduct end-to-end analyses from data requirement gathering in addition to data processing and modeling.
- Build, test, and deploy NLP/Classification algorithms to categorize products into departments, categories, and subcategories.
- Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
- Develop models and processes to match identical products across multiple e-commerce retailers.
- Use existing insights and develop new strategies to drive the product strategy.
Minimum Qualifications
- Master’s in Computer Science, Statistics, Mathematics, Physics, or related technical field.
- Sound theoretical understanding of broad machine learning concepts.
- Demonstrated experience of strong problem-solving skills and coding proficiency in Python.
- Experience and command of SQL.
- Demonstrated experience in machine learning and deep learning tools such as Pytorch, Tensorflow or sklearn; experience using machine learning tools for model development, validation and deployment.
- 3+ year of direct industry work experience as an applied scientist or a data scientist.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Prior experience with big data technologies such as Hadoop or Spark.
- Experience using deep learning libraries such as TensorFlow or PyTorch to solve NLP tasks.
- Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
- D. in Computer Science, Statistics, Mathematics or related technical field.
- Experience working in a startup, retail, digital advertising, or e-commerce environment.
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.
Submit CV To All Data Science Job Consultants Across United States For Free
Leave a Reply