Data Scientist IV
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Job Description
Data Scientist IV developing predictive models, analytics, and visualizations for Astreya, a global IT managed services provider. Leading big-data engineering and AI/ML solutions across complex business datasets.
Responsibilities:
- Design, develop, and program methods, processes, and systems to consolidate and analyze diverse big data sources
- Perform statistical modeling and analyze structured and unstructured datasets
- Develop metrics, reports, and visualizations of trends and patterns
- Lead development and coding of software programs, algorithms, and automated processes for cleansing, integrating, and evaluating large datasets
- Identify meaningful insights from large data and metadata sources
- Interpret and communicate insights and findings to product, service, and business managers
- Propose solutions and strategies to business challenges and present them to the executive board
- Create data visualizations
- Lead and mentor team members
- Build predictive models and machine-learning algorithms
- Troubleshoot and test database technical issues with the development team
- Independently analyze datasets to identify opportunities for increased accuracy and efficiency
- Perform data quality assurance to identify potential gaps
- Assemble large, complex datasets meeting functional and non-functional business requirements
- Collaborate with data and analytics experts to improve data-system functionality
- Perform other duties as required
Requirements:
- Bachelor’s degree (B.S./B.A.) from a four-year college or university and 8+ years of related experience and/or training, or equivalent combination of education and experience
- Good judgment in selecting methods and techniques for obtaining solutions
- Ability to network with key contacts outside own area of expertise
- Excellent analytical skills and strong verbal communication skills
- Experience working with Big Data to provide EDA to senior team leads
- SQL skills, including creating and modifying macros and creating dashboards using SQL coding
- Excellent written communication skills
- High level of attention to detail
- Ability to independently analyze large amounts of data and identify, analyze, and interpret trends, gaps, and patterns in complex datasets
- Proficiency in data engineering on GCP, AWS, and Azure
- Proficiency in Python, R, and TensorFlow
- Experience using AI/ML and Generative AI for analytics, modelling, and data science
- Ability to perform office-related tasks, use a computer, communicate effectively, and move within an office environment
- Master’s degree in Business Administration, Computer Science, Mathematics, or a related field preferred
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