Senior Data Scientist

Company Description

Scaled Agile, Inc., (SAI) is the provider of SAFe®, the world’s leading framework for enterprise agility. Through learning and certification, a global partner network, and a growing community of more than one million trained professionals, SAI helps enterprises build better systems, increase employee engagement, and improve business outcomes.  A growing interest in business agility over the last year has accelerated adoption.  As we grow, we are adding team members looking to thrive with us.    

Based in Boulder, Colorado, SAI is a member of the Pledge 1% corporate philanthropy movement. Through this program, SAI contributes to the local community and seeks to inspire and encourage other companies to the same purpose.

Job Description

Overview of position

The Senior Data Scientist will work closely with a multidisciplinary agile team to build, improve and maintain high-quality AI or machine learning solutions for advanced analytics or AI products. These solutions power customer-facing AI products or generate insights from Scaled Agile's connected data corpus, enabling the organization to advance its data-driven decision-making capabilities and improve customer satisfaction with its products.

This role focuses on navigating the machine learning landscape, identifying suitable models for various applications, and optimizing their performance. A basic understanding of web app architecture and data engineering is also essential. We seek a data scientist adept in leveraging existing ML models or data science products. The ideal candidate should have a learning mindset, strong problem-solving skills, and enthusiasm for collaborating with a technical, cross-functional product team.

Qualifications

Technical skills

• Master’s degree (preferred) or strong Bachelor's degree in Engineering, Computer Science, Economics, Statistics, Physics, or Mathematics or related technical disciplines
• Experience: 3+ years’ experience in a statistical, machine learning, and/or data science role
• Should have practical experience in machine learning, statistics, optimization or related fields; deeper experience in working with large data sets, simulation, optimization or distributed computing tools is a plus
• Programming: Proficiency in python and relevant data science packages, e.g., pandas, numpy, scikit-learn. Ability to write production-ready code.
• Hands on experience with real world data: data pre-processing, post-processing, metadata usage and generation
• Ability to iterate on and improve model performance, including evaluation KPIs, test set selection, logging model results
• Familiarity with large language models (LLMs) or GenAI applications, including concepts such as intent recognition, model guardrails, and semantic search

Soft skills

• Passionate about agile software processes, GenAI, data-driven development, reliability, and experimentation
• Experience working on a collaborative agile product team
• Self-motivated with strong problem-solving skills
• Flexibility to changes in work direction as a project develops
• Excellent communication, listening and influencing skills
• Strong work ethic and ability to work at an abstract level to gain consensus
• Clear and comprehensive documentation of data sources, models, processes, KPIs

Nice-to-have’s

• Familiarity with popular LLMs such as OpenAI GPT, LLaMA, PaLM, etc.
• Experience using LangChain for GenAI applications 
• Familiarity with fine-tuning LLMs for specific tasks
• Experience working on the cloud, e.g., AWS S3, SageMaker, etc.

Additional Information

Compensation: 

Scaled Agile is committed to fair and equitable compensation practices. The target salary range for this role is $140,000- $160,000. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, and certifications.

Employees of Scaled Agile are also compensated with a competitive benefits package including medical, dental, vision, optional insurance products including identity protection and pet insurance, 401K with a match, flexible paid time off, company-paid sabbatical after six years of service, bonus plan, and equity options.

Location:

We proudly support a collaborative remote environment for our globally distributed teammates, while also using our Boulder office as a resource.

Why Scaled Agile?

We are a growing organization with a proven revenue model and are the global market leader in software and systems development knowledgeware.

This is a place for people who love technology environments, geek out on met