Senior Data Scientist

Ridgeland, Mississippi, United States

Full Time Senior-level / Expert USD 133K - 248K * ^est.

HORNE

Leading professional services & consulting firm specializing in accounting, advisory, and business solutions for your industry. Drive growth and resilience with HORNE.

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Posted 7 hours ago

Works with stakeholders inside the company as well as external customers to identify opportunities for leveraging meaningful data to drive business solutions.
This position analyzes and mines complex structured and unstructured data sets using advanced statistical methods to drive optimization and improvement of product development, marketing techniques and business strategies.
The Senior Data Scientist leads a team of developers, data scientists and/or analysts to accomplish the goals of the focus area.
Leading team to write and maintain software programs and data processes, developing ETL/ELT pipelines, using predictive modeling, building new processes to collect data and build tools to automate data.
Assesses the effectiveness and accuracy of new data sources.
Oversees data modeling and management.
Develops machine learning/deep learning/NLP/CV models to apply to data.
Develops processes and tools to monitor and analyze model performance.
Performs research, analysis and data modeling on organizational data.
Reviews reports from analysis and findings for use in decision making and makes recommendations.
Oversees solutions for ad hoc reporting using languages such as Python and SQL.
Recommends and deploys programmatic solutions for automation and other business needs.
Guides team to write SQL queries create tables and generate visual plots.
Uses visual studios to create SSRS reporting.
Manages software developers.

Requirements:

Master’s degree in computer science; plus 3 years of experience as a data scientist.
Knowledge of theories and implementation of various AI subfields such as classical machine learning, deep learning, NLP, computer vision, Generative AI and LLMs.
Building and leading data-based projects from the ground up.
Large scale data processing with tools like DataBricks, Hive, Cassandra, GFS, Hadoop or Pandas.
Knowledge of data processing, software testing, software documentation and building data pipelines.
Knowledge of relational database and data modeling.
Knowledge of utilization of software version control.
At least two years of experience working with cloud providers and the utilization of Project Management tools.
Working knowledge of AGILE software development, web-scraping tools, web development frameworks and API tools.