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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
Job ID: 147578081
Skills:
Machine Learning, Big Data Analytics, Hadoop, Pyspark, Scala, Kafka, Tableau, Text Mining, Impala, Sql, Deep Learning, Nlp, Hive, Python, graph theory
Skills:
Data Science, Machine Learning, Python, Sql, Generative AI, Statistical Modeling, MLOps practices, Feature engineering
Skills:
Pyspark, Sql, Gcp, Docker, Databricks, Azure, Python, Kubernetes, AWS, Airflow, Dask, Kedro, RAPIDS
Skills:
Pytorch, Spark, Kafka, Databricks, Python, AWS, LangChain, Hugging Face Transformers, MLflow
Skills:
data mining, Tableau, PYTHON, Sql, Data Cleansing, Powerbi, Data Visualization, Big Data Analysis, project management, Data Processing, Statistical Tools, R
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