We are currently searching for a Lead Data Science Engineer to join our team. This role involves building and deploying customer consolidation models using various machine learning and deep learning techniques, such as NLP methods, data enablement, and deep learning. The successful candidate will lead and manage exploratory analysis, data pipeline construction, and end-to-end model building for large scale production systems, while also working closely with team members to drive innovation, optimize data delivery, and troubleshoot data issues. They will also have the opportunity to work with large datasets and directly impact our Sales and operational teams. We are looking forward to finding the right person to join us in this endeavor.

What You'll Do:
50% of time will be spent leading and 50% collaborating/contributing

* Perform exploratory analysis, construct data pipelines, build machine learning & deep-learning models. End-to-end from POC to deployment for large scale production systems.
* Monitor, support, optimize, and continuously improve the deployed solutions and take care of during day-to-day operations.
* Design and implement scalable models with continuous monitoring and feedback system to enable automatic model training.
* Viewed as a data expert; drives innovation and plays a key role in the department. Participates in highly visible initiatives that have broad impact.
* Design, review code, validate and document architectures and applications.
* Collaborate closely with product, delivery and cross-functional teams to ensure design/architecture/deliverables support business requirements and align with best-practices.
* Troubleshoot and resolve a wide range of data issues.
* Makes innovative recommendations to improve data reliability, efficiency, and quality.
* Required to perform duties outside of normal work hours based on business needs.

What You'll Bring:
* Bachelor's degree in computer science/related field or equivalent combination of education and experience
* 8-10 years of related experience
* Proficient with SQL, T-SQL and Neo4j Graph-cypher queries
* Advanced to expert-level proficiency in Python and Enabling data using API's
* Experience developing end-to-end Data and ML solutions and leading solution diagnosis, including designing & architecting machine learning models that solve business problems & fit into the overall engineering framework, experimentation, model pipeline build, performance optimization, integration and deployment.
* Demonstrate expertise in data modeling, database maintenance, monitoring and performance tuning on SQL Server, snowflake, Neo4J-Graph DB and other NoSQL databases.
* Analytical, creative thinker and innovative analytical person
* Perform thorough testing and data validation to ensure the accuracy of data transformations.
* Strong written and verbal communication skills, with precise documentation
* Working knowledge/proficient in modern cloud computing technology

Pay Range: $86,100 - $191,800annually

This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.