Senior Data Scientist

NPS Prism 

Title: Senior Data Scientist, NPS Prism 
 

Company Profile: 

NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey. 

With NPS Prism you can see where you’re strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition. 

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.  

Position Summary: 

NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. 

Key Responsibilities: 

• Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects.  

• Lead the development, deployment, and adoption of open source LLM models to do text classification, building sentiment models. 

• Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives. 

• Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture.   

• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines 

• Translate insights into relevant business recommendations, anticipating the needs of business stakeholders. 

• Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets 

Required Qualifications, Experience & Skills   

Education 

• Bachelor's degree in computer science or Equivalent experience 

Experience   

• 6 to 10 years Data Science experience covering ML, DL and GenAI  (Please include the genuine tech stack skills that you have worked on in the role & responsibilities under employment section of your resume)

• 2+ years of experience building end-to-end data science applications using dash, Flask, Streamlit and Django etc. (Preferred) 

Skills    

• Experience with building end-to-end data science applications 

• Experience with NLP and LLM fine tuning 

• Experience with cultural transformation to CI/CD and MLOps 

• Experience with Azure MLOps or other SDLC tools 

• Experience with Agile methodologies 

• Experience building applications using fast APIs. 

• Experience in a start-up, fast-growth, rapid-change environment 

• Must be self-motivated, dedicated to quality and must always strive to “do the right thing” 

Preferred Qualifications: 

• Experience with HTML, CSS, JavaScript, version control using Git. 

• Experience with Containers and Kubernetes 

• Experience with TensorFlow, Pytorch etc.