
1001 - 5000 employees
Founded 2001
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
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.
🕒 August 6
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2001
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
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.
• 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
• 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
Apply Now🕒 August 6
Data Sciences Deputy Manager developing Azure-based AI and data solutions for WNS, an intelligent operations and transformation company. Building models, pipelines, and analytics for business problems.
🕒 August 6
Data Scientist building analytics for Termgrid's private capital markets operating system. Supporting private equity, lending, and advisory financing workflows.
🕒 August 3
Senior/Lead Data Scientist with expertise in Media Targeting and Optimization at an AI services provider. Focused on building scalable optimization solutions to maximize marketing ROI.
🕒 July 31
Data Scientist developing and optimizing AI models for Weekday's clients. Collaborating on deep learning, computer vision, and multimodal AI systems in multidisciplinary teams.
🕒 July 31
Senior Data Scientist responsible for driving analytic innovation in machine learning at Switchfly. Collaborating across teams to improve client relationships and product outcomes.