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Ascend Group

Data Scientist

4-6 Years
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  • Posted 8 days ago
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Job Description

Location: True Digital Park (Hybrid working)

Roles and 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

More Info

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About Company

Job ID: 147578081

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