We are seeking a skilled Data Scientist to support our organization's digital transformation efforts. This role combines data scientist and data analyst responsibilities, focusing on leveraging statistical techniques and machine learning to optimize business processes and drive informed decision-making.
Main Responsibilities:
* Derive valuable insights from large and complex data sets using statistical and computational techniques, including unstructured data.
* Understand business operational processes that generate data.
* Apply critical thinking to recognize patterns and trends in data, yielding insights on physical processes represented by the data.
* Analyze large data sets to identify patterns and trends, providing clear, actionable insights for business strategies and decision-making.
* Create and maintain data visualizations using tools like Tableau and Power BI to effectively communicate findings to non-technical stakeholders.
* Implement data analytics solutions using established relational data models, aligned with team priorities.
* Support transition from manual reporting to automated solutions and enhance digital transformation efforts through data-driven approaches.
* Collaborate with Data Engineers and other team members to ensure data is properly collected, stored, and processed for analysis.
* Address ad-hoc data inquiries and deliver valuable insights to various departments.
* Apply advanced analytical methods, machine learning, and deep learning algorithms to identify patterns, trends, and insights for informed business decisions.
* Develop, implement, and evaluate machine learning models to predict outcomes based on historical and live data.
Minimum Qualifications/Experience/Skills:
* Experience in data analytics, statistical modeling, and machine learning.
* Bachelor's or Master's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field.
* Proficiency in programming languages such as Python, R, Java or familiarity with machine learning frameworks.
* Strong foundation in statistical analysis and modeling techniques.
* Experience with data visualization tools: Tableau, Power BI.
* Experience with statistical analytical tools and Microsoft stacks.
* Excellent written and verbal communication skills in English for effective collaboration across teams.
* Strong business acumen and ability to understand and address business problems using data insights.
* Knowledge of SQL and experience with relational databases is preferred.
* Familiarity with Agile and/or Scrum methodologies is a plus.
* Eagerness to learn and adapt to new technologies and techniques.
* Strong problem-solving skills and attention to detail.
Major Challenges for this position:
* Navigating complexity of large and diverse data sets to extract meaningful insights.
* Balancing multiple stakeholders needs and priorities while delivering timely and accurate analysis.
* Keeping up with rapidly evolving technologies and methodologies in data science and analytics.
* Ensuring data quality and integrity amid varying data sources and formats.