Data Scientist IV

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Astreya

1001 - 5000 employees

Founded 2001

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

Cybersecurity • Enterprise • SaaS

Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• Professional development opportunities

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