Lead Data Scientist

Engineering Team Lead - Data Science D.C. Area About the Position In this role you will lead a squad of machine learning engineers dedicated to the development and maintenance of highly available and scalable machine learning pipelines. You will work closely with our Data Scientists, architects, and product leadership to build the next generation of our AI/Client infrastructure. As a senior member of the Engineering team, you will guide the technical design and implementation of new and emerging technologies. In this position, you are directly connected to the mission of the business and will have a clear and measurable impact on the business are building and the clients we serve. We value engineers who are creative, focused, collaborative, technically curious, and who enjoy both design as well as working hands-on with the code. We are looking for people who have opinions, share ideas and know how to get work done. If you are an engineer, with the skills listed below, who values total ownership of your work, can't imagine a day without coding and who wants to disrupt an industry with technology - Key Responsibilities Lead Client Engineering team members in advanced modeling techniques and best practices Own the design and delivery of Engineering machine learning models to drive efficient and effective business decisions at scale Analyze large and complex data sets to derive valuable insights, inform feature and product development Serve as a source of methodological expertise for the broader data science team Work in complex technical systems and wrangle data from a wide set of data sources Partner closely with business leads across the company to plan and execute on valuable data science projects Apply machine learning and data science techniques and design distributed systems Drive the evolution of Client/AI infrastructure through research, experimentation and implementation of best practices Construct and execute well-organized testing plans that enable us to move faster and smarter Qualifications & Experience Requirements Strong Software Engineering background with emphasis in data science and machine learning Fluent in Java, Python, and/or Scala programming languages 4 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods Experience in successfully applying machine learning to real-world problems with large datasets Expertise in machine learning spanning supervised and unsupervised learning methods Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Demonstrated leadership and self-direction and willingness to both teach others / learn new techniques Demonstrated skills in selecting the right tools given a data analysis problem Strong communication skills including the ability to describe complex models and findings to different audiences and stakeholders, from data science peers to business decision makers Excellent interpersonal skills #J-18808-Ljbffr