Data Scientist

Quest Global is a market leader in diversified engineering solutions and one of the global, reliable and long-term partners of numerous companies in the field of Transportation, Aerospace & Defense, Aero Engines, Industrial & Hi-Tech, Medical Devices, Oil & Gas and Power.

Job Requirements

• Collaborate with engineering and product development teams
• Passionate about understanding a business problem and applying Data & Analytics to try and solve them
• Have experience in developing data and statistics-driven solutions for real-life business problems
• Being creative through code (ideally in Python and beyond basic notebooks or scripts)
• Master techniques for Data Science and can choose relevant algorithms fit for purpose, such as gradient boosting, Bayesian modeling, deep learning, natural language processing, time-series analysis or optimization/OR techniques
• Have a strong background in math, computer science, engineering or equivalent (at least MS or equivalent)
• Have experience leading the development of advanced analytics frameworks within large organizations
• Have experience working in some of the following areas: customer analytics, personalization or product recommender systems
• Team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with other Data Scientists and coworkers
• proactively manage relevant stakeholders and/or teams to drive an intended outcome
• Curious, self-directed and want to keep learning!Implement and maintain GCP services such as BigQuery, Cloud Dataflow, and Cloud Composer.
• Optimize data architecture for performance, scalability, and reliability.
• Ensure data quality and integrity.
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges

Work Experience

• 6-10 Years of experience
• Very Good Co,,umication skills
• GenAI
• LLM(Large Language Model) building
• Machine learning
• Artificial Intelligence
• Python
• R
• Scala
• SQL
• Deep Learning
• Computer vision( open cv) ¨
• Cloud experience (GCP/ Ali Cloud)
• Big data(Hadoop Spark,pip,Hive,mapreduce)
• TensorFlow
• Data Warehousing skills ( BigQuery)
• Power BI/ Tableau
• Git
• Github Actions(ci/cd)
• Agile and Scrum