Senior Data Scientist - HYBRID

Base: $130-165K+Bonus

Hybrid: 3 Days Onsite, 2 Days Remote

Location: Orlando, FL

Overview

We are seeking a Senior Data Scientist to join the Business Application and Data Science team. The Senior Data Scientist must have experience in generative model training, data sampling techniques and natural language processing (NLP). As a Senior Data Scientist, you will be responsible for leading the development and implementation of advanced analytical models and algorithms to support decision making and strategic planning within the organization.

Qualifications

5+ years of experience in data science with a focus on generative model training, NLP and Azure ML and AI tools.

Bachelor's degree in Advanced degree in a quantitative field such as statistics, mathematics, computer science or a related field.

Strong understanding of statistical and machine learning concepts.

Strong experience with Agile methodology and practices, backlog management and PI/release planning.

Experience working with Azure DevOps for creating and managing project backlog and release scope.

Strong analytical and problem-solving skills, with the ability to work with data and make data-driven decisions.

Experience with programming languages such as Python and R.

Strong communication and presentation skills.

Experience working with large, complex datasets and SQL proficiency.

Experience with cloud platforms such as Azure, GCP and AWS.

Strong business acumen and ability to apply data science to solve real-world business problems.

Experience in real estate industry is a plus.

Responsibilities

Design, develop and implement advanced generative models for various business use cases.

Utilize tools like Dataiku, Datarobot, Databricks for data preparation, exploration and modeling.

Experience with Azure ML and AI tools and platform.

Experience with data sampling techniques for training and validating models.

Experience with natural language processing (NLP) techniques and tools.

Collaborate with cross-functional teams to identify business problems and opportunities for data-driven solutions.

Communicate findings and insights to stakeholders in a clear and actionable manner.

Stay up to date with the latest trends and technologies in the field of data science.