Data Scientist I
About The Position
Ready to embark on your next big adventure? Are you experienced with Large Language Models or Large Multimodal Models? Join us as a Data Scientist at Stackline where you will thrive in our dynamic, team-oriented atmosphere, contributing your skills to develop practical Machine Learning solutions. This role involves delving into vast data pipelines, analyzing over a billion data points each week, and collaborating closely with Data Engineers, Software Engineers, and Product Management team. This hands-on analytical position requires not only your coding expertise, but also your dedication to architecting, developing, and testing innovative models that make a tangible difference. If you're ready to make a meaningful impact, apply now to be part of our exciting journey! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.
Requirements
- PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field.
- 1+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
- 1+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
- Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs).
- Strong proficiency with programming and querying languages like Python and SQL.
- Experience deploying solutions at scale after prototyping.
- Demonstrated experience in Machine Learning tools such as Tensorflow,PyTorch, Spark ML, or related frameworks.
- Experience with distributed version control (e.g. git).
Nice To Haves
- 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.
- Experience working in a startup, retail, digital advertising, or e-commerce environment.
Responsibilities
- Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products.
- Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs.
- Provide prompt and accurate responses to both internal and external inquiries about our datasets and models.
- Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights.
- Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams.
- Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques.
- Design and implement innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains.
- Document data sources and processes for data analysis and modeling.
Benefits
- Comprehensive benefits plan covering medical, dental, and vision
- Fertility benefits
- Company 401k plan plus matching
- Company paid Life Insurance
- 20 days of Paid Time Off annually
- 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 3pm
- Fully stocked kitchen snacks with weekly fresh fruit
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
Number of Employees
251-500 employees
