Data Scientist

September 17

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Machine Learning • Digital IT Strategy • Big Data • Microsoft Solutions • Agile Transformation

201 - 500

Description

• Designing and implementing predictive models • Analyzing complex datasets • Performing statistical analyses • Running custom SQL queries • Identifying patterns and trends to improve efficiency • Maintaining and improving data infrastructure and tools • Working with stakeholders to identify key metrics • Performing exploratory data analysis • Expertise in NLP and NLG • Good understanding of ML Ops and LLM Ops • Building and maintaining data management systems • Creating visualizations, reports, dashboards, and audits • Designing and implementing machine learning algorithms • Leveraging ensemble techniques for ML Models

Requirements

• Bachelor's degree in data science, data analytics, or related field • Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering • Proficiency in Python, R, C#, Java, or Kotlin • Knowledge of data science toolkits such as R, NumPy, and MatLab • Experience with big data analytics technologies such as Spark/Databricks and Hadoop • Experience with data visualization tools such as PowerBI and Tableau • Expertise in data mining and machine learning • Working knowledge of statistical models and business intelligence • Familiarity with cloud-based infrastructure • Ability to store and process unstructured data with NoSQL databases and machine learning models