Lead Data Scientist (Algorithm & Python)

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. 

• 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.

• 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