Salary
💰 $110,000 - $220,000 per year
Tech Stack
Open SourcePythonScalaSparkTensorflow
About the role
- Utilize advanced analytical techniques, including machine learning and AI, to predict trends and behavior patterns and deliver impactful data insights that drive business results.
- Lead the development and implementation of AI and machine learning models to solve complex business problems, improve operational efficiency, and enhance decision-making processes.
- Leverage emerging technologies to optimize data analytics processes, improve data reliability, and enhance the precision of predictive models (such as customer contact volume forecasting).
- Drive the transformation of the organization into a data-driven entity by integrating advanced analytics into business processes and strategies.
- Collaborate with cross-functional teams to integrate advanced analytical techniques into everyday operations and promote a culture of innovation.
- Stay abreast of the latest advancements in AI and machine learning and leverage these advancements for business success.
- Provide data-led insights to support strategic business decisions and contribute to the company's overall direction and growth.
- Develop and implement mechanisms for measuring the impact and effectiveness of data science initiatives on business operations and outcomes.
Requirements
- Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
- Option 3: 6 years' experience in an analytics or related field.
- Proven experience in leveraging advanced analytical techniques in a data science role.
- Proficient in modern AI tools and platforms; strong understanding of machine learning algorithms and statistical modeling.
- Experience with Python, Spark, Scala, or R (successful completion of one or more assessments preferred).
- Experience using open source frameworks (for example, scikit learn, tensorflow, torch).
- Experience driving a data-driven culture and translating complex data insights into actionable business strategies.
- Preferred: Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
- Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and accessibility best practices.