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Ascend Group

Data Science (Amaze app)

4-6 Years

This job is no longer accepting applications

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  • Posted 2 months ago

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: 126159215