Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions.
Responsible for statistical modeling, and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.
Leads in the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
Identifies meaningful insights from large data and metadata sources interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
Propose solutions and strategies to business challenges and presents to the executive board
Create data visualizations
Leads and mentors others on the team
Build predictive models and machine-learning algorithms
Troubleshoot and test database technical issues with development team
Independently analyze data sets to identify opportunities for increased accuracy and efficiency
Perform quality assurance on data to determine potential data gaps
Assemble large, complex data sets that meet functional / non-functional business.

Bachelor’s degree (B.S/B.A) from four-college or university and 8+ years’ related experience and/or training; or equivalent combination of education and experience
Excellent analytical skills, tenacious problem solver with strong verbal communication skills
Experience working with Big Data to provide EDA to senior team leads
SQL skills; including creating and modifying macros, as well as creating dashboards using SQL coding
Excellent written communication skills
High level of attention to detail
Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets
Proficient in data engineering on GCP, AWS, and Azure, as well as in Python, R, and TensorFlow
Experience using AI/ML and Generative AI for Analytics, Modelling and data science

Data Scientist IV

Key skills