Looking for a a Lead Data Scientist with expertise in Algorithm Development and Python. The Ideal Candidate will have a Graduate Level Degree and at least 3 years of Leading teams. This role is a Lead role but it will be very much hands on. The role will be On-Site with some hybrid flexibility from time to time. Work Authorization: Due to the Rules and Regulations and Requirements from the US Govt and our Client – Candidates must be able to provide proof of US Citizenship.
Day to Day
Lead a team of Data Scientist and Machine Learning Experts
Design, build, and manage the data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources.
Develop, deploy, and scale machine learning models and applications in production and lower environments
Ensure data quality, security and availability for the data, notebooks, models, experiments, and applications.
Integrate ML models with the SaaS platform and other services and tools, such as the model registry, feature store, data lake, and event streams.
Collaborate with data scientists to develop and test machine learning models.
Drive code reviews to ensure code quality, maintainability, and adherence to coding standards.
Provide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future prevention.
Partner with cross-functional teams (engineering, product, design, security, compliance etc.) to bring ideas to life
Build secure, robust, scalable, and performant systems for processing transactions and managing customer data.
Skills
Due to the Rules and Regulations and Requirements from the US Govt and our Client – Candidates must be able to provide proof of US Citizenship
Ideally a Masters or PhD in a related field with at least 3 years of Leading and managing teams
Will consider a bachelors degree and 8+ years of experience Leading Teams
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Experience with data management, data, and build pipelines.
Experience with building and deploying machine learning models.
Proficiency in machine learning (supervised, semi-supervised & unsupervised)
Proficiency in Python, specifically using its data manipulation libraries
Knowledge and experience with NLP (Natural Language Processing) algorithms and libraries within Python and related languages such as R or Scala.
Strong knowledge of statistical analysis techniques, machine learning algorithms, and data visualization tools
Experience with big data technologies such as Spark and TensorFlow is a plus
