Data Scientist

Role & responsibilities

Skills and Experience

• Experience or strong knowledge of data science, statistical analysis, predictive analytics, and machine learning concepts.
• Experience processing, managing, and analyzing large and complex datasets.
• Knowledge of big data technologies, open-source platforms, and third-party data science toolsets.
• Experience developing analytical solutions to address business and operational problems.
• Proficiency in SQL and experience working with structured and unstructured data.
• Knowledge of statistical modeling techniques, including regression, classification, time-series analysis, anomaly/outlier detection, probability distributions, and hypothesis testing.
• Programming experience with statistical or data science programming languages and tools.
• Experience with data mining, data exploration, visualization, feature selection, data transformation, imputation, resampling, and model quality-control techniques.
• Familiarity with cloud-based and clustered computing environments, preferably Microsoft Azure and/or Amazon Web Services.
• Experience implementing or supporting Big Data platform solutions using open-source and third-party technologies.
• Familiarity with machine learning model validation, testing, and performance evaluation.
• Familiarity with Agile software development methodologies and practices.
• Knowledge of Continuous Integration and Continuous Delivery (CI/CD) concepts is preferred.
• Ability to analyze complex business systems, industry requirements, and applicable data regulations.
• Strong problem-solving and analytical thinking skills, with the ability to identify root causes and develop sustainable solutions.
• Strong communication skills, with the ability to present complex analytical concepts and findings clearly to different audiences.
• Customer-focused approach with the ability to build effective relationships and deliver solutions aligned with business needs.
• Ability to make sound, timely decisions using data and analytical evidence.
• Ability to manage complex, high-volume, and sometimes contradictory information.
• Technology-savvy mindset with an interest in adopting emerging digital and data science technologies.
• Ability to collaborate effectively with diverse teams, stakeholders, and subject matter experts and value different perspectives.