Senior Data Scientist, Data, Models & Decisions

Senior Data Scientist, Data, Models & Decisions

LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.  

We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.

 

You will thrive here if: 

You can operate in a fast paced, dynamic environment

You can build partnerships that move our business forward

You build code that is simple, understandable, and clean  

You see feedback or failure as motivation to learn and to grow 

You believe data-driven decision making is the norm

You relate to our core principles (link) and want to work with Conversational AI experts

 

Reporting to the Director of Data, Models, and Decisions (DMD), the successful candidate has an opportunity to join an innovative data science and engineering team that’s operationalizing data across the organization. We see model-driven processes and workflows as a means to reduce uncertainty, reveal opportunity, and generate operational leverage that collectively create a new dimension of competitive advantage and lay the foundation for new revenue streams. 

In this role you will:

  • Apply cutting-edge machine learning methods to derive value from data across the company, including one of the world’s largest goal-oriented conversational data sets
  • Solve challenging unsupervised and supervised learning problems that help redefine the Company’s strategy and execution
  • Propose and execute research efforts integrated with production systems
  • Design and build a modern, flexible predictive analytics platform
  • Develop measurement strategy, control methodology, and experimental design

 Your qualifications are:

  • Demonstrated ability to independently uncover insights and relationships across numerous datasets
  • 5+ years of experience deploying machine learning models in a production environment
  • Masters or PhD in Statistics, Econometrics, Physics, Mathematics, or another quantitative field
  • Ability to write Python code that is efficient and clean
  • Experience with distributed computing frameworks such as Spark and Hadoop preferred
  • Ability to work closely with teammates in a highly collaborative environment and simultaneously be a self-starter with strong individual contributions
  • Experience with Python packages for data science and machine learning, including pandas and scikit-learn
  • Experience modeling to production and monitoring performance pre- and post-launch
  • Ability to collaborate with stakeholders, quantify ROI and ensure model adoption

 

Why you’ll love working here:

LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.

At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. 

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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