Data Scientist (225-829)

Are you a visionary data aficionado ready to dive into complex dataset oceans? Our innovative company is seeking an astute Data Scientist to harness the power of analytics and drive our organization forward. In this dynamic role, you will transform raw data into meaningful insights through advanced modeling and analysis techniques. You will collaborate with multidisciplinary teams to build sturdy solutions that perfectly align with our business strategies. By leveraging your analytical prowess and statistical expertise, you will illuminate the path to data-driven decision-making. Join us to revolutionize our approach to data and help steer our company towards sustained growth and success in the fast-evolving digital landscape.

Responsibilities

• Design and implement statistical models for data analysis and predictive analytics.
• Collaborate with cross-functional teams to identify business requirements and objectives.
• Interpret and analyze complex data sets using advanced statistical techniques.
• Develop data mining and machine learning models to support decision-making processes.
• Create comprehensive reports to convey insights and findings to stakeholders effectively.
• Evaluate the efficiency and effectiveness of data processes and propose enhancements.
• Partner with IT and engineering teams to ensure data infrastructure is scalable and robust.
• Maintain up-to-date knowledge of new analytic techniques and industry trends.
• Train and guide team members in understanding and utilizing advanced data techniques.
• Translate analytical findings into practical business solutions and action plans.
• Use data visualization tools to effectively present data-centric solutions and trends.
• Engage in peer reviews to ensure accuracy and integrity of data-driven findings.

Requirements

• Bachelor's or Master’s degree in Data Science, Statistics, or related field required.
• Minimum two years of experience in data science or related analytics roles.
• Proficiency in programming languages such as Python, R, or SQL is essential.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical skills with the ability to collect, organize, and analyze data.
• Excellent communication skills for presenting data insights to a non-technical audience.
• Familiarity with machine learning frameworks and libraries for advanced data analysis.