Data Scientist - LLM

Key Skills

Apache Hadoop, Big Data Technology, Data Analytics, Data science techniques, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, SciPy, SPARK Programming, SQL, TensorFlow

Job Description

What You Will Do:

• 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.

Who We Are Looking For

• Masters in Mathematics, Physics, Computer Science, Engineering, or another technical field.
• 3+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
• 3+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
• 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).

Bonus Points If You Have:

• 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, Physics, Mathematics, Computer Science, or another technical field.
• Experience working in a startup, retail, digital advertising, or e-commerce environment.

Benefits and Perks:

It’s important that each and every employee feels they are supported and can complete their life’s best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, geographical location, and performance. The pay range for this position located in Seattle is $160,000 - $180,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:

• 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 2pm
• 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. We encourage applicants from all backgrounds to apply. 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.