Lead Data Scientist - Plano, United States - VetJobs

Description

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.

JOB DESCRIPTION:
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building and training production-grade ML models on large-scale datasets, developing end-to-end ML pipelines, and collaborating to develop large-scale data modeling experiments. Your expertise in Python, PySpark, DL frameworks like TensorFlow, and MLOps will be crucial in this role.

As a VP Data Scientist, you will apply your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. The successful candidate will have a passion for data, ML, Software Development with an emphasis on understanding the data landscape in large and complex organizations. We are looking for someone with a strong knowledge of ML, Knowledge Graphs, Graph Algorithms, Deep Learning, and experience working with massive amounts of data.

Additional Qualifications/Responsibilities

Job Responsibilities:

• Build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.
• Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
• Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.
• Build ML models across Public and Private clouds including container-based Kubernetes environments.
• Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.

Required Qualifications, capabilities and skills:

• Strong hands-on experience of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Experience in analyzing complex problems and translating it into an analytical approach.
• Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, LLMs
• Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
• Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
• Strong leadership, stakeholder management, communication, partnership and teamwork skills.