Data Scientist

About the Role

Location: True Digital Park (Hybrid working). Employment type: Full-time. Work arrangement: hybrid. Ascend Group is hiring a Data Scientist to develop and deploy predictive and generative AI solutions and to collaborate with cross-functional teams to drive data-driven business outcomes.

Responsibilities

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions
• Extract insights from large and complex datasets using a variety of tools and techniques
• Develop and deploy predictive models and algorithms using statistical, AI/machine learning, deep learning and generative AI modeling
• Present findings and recommendations to stakeholders in a clear and compelling manner
• Implement data-driven solutions in various environments, including integration with existing systems and processes
• Stay up-to-date on the latest development in data science and bring new ideas and technology to the team
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
• 4+ years of experience as a Data Scientist, with a focus on industries
• Descriptive Analytics
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path)
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases
• Experience with statistical and machine learning techniques
• Proficiency in optimizing large complicated SQL statements and code versioning tools such as Git, Mercurial, boosting , Nevalral , Netw , CNN , LSTM , en D coder , NLPLLM
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI
• Strong problem-solving and communication skills
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP)
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery