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