Job Description
Key roles responsibilities
• Working with stakeholders to identify opportunities for leveraging company data and improve business outcomes
• Mine and analyze data from company databases to drive innovation, optimization and improvement of product development, marketing techniques and business strategies
• Employ sophisticated analytical methods, machine learning and statistical methods to prepare data forin predictive and prescriptive modeling
• Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities
• Discovering new algorithms to solve problems and build programs to automate repetitive work
• Communicate predictions and findings to management, marketing and other stakeholders through effective data visualizations and reports
• Research new ways for modelling and predictive behavior for large scale projects.
• Lead data mining and collection procedures.
Academic and professional/work Experience
• Degree in Computer Science, Data Science, Statistics, Applied Math or any other quantitative field.
• 3+ years of experience manipulating data sets and building statistical models.
• Proven experience using statistical computer languages, preferably Python and R, to manipulate data and draw insights from large data sets.
• Hands-on experience with big data processing engines like Apache Spark
• Experience visualizing/presenting data for stakeholders using: Power BI, Data Studio etc.
• Have great communication skills and are a strong advocate of using data science to drive decisions
• Commercial understanding, strategic and creative thinking.
• Ability to prioritize and handle multiple projects meeting tight deadlines.
• Strong drive to learn and master new technologies and techniques.
• Results-orientation and self-motivation, taking accountability for business performance issues.
• Strong problem-solving skills.
• Strong organizational and leadership skills
• A business mindset