Data Scientist (225-729)

As a Data Scientist, you will play a pivotal role in driving data-driven decision-making processes. You will utilize your deep understanding of statistical analysis, machine learning, and algorithm development to analyze complex datasets and derive actionable insights that align with business objectives. By collaborating with cross-functional teams, you will transform raw data into meaningful information and predictive models that propel strategic initiatives. Your ability to synthesize massive and varied datasets to solve real-world business problems, paired with your strong communication skills, will be crucial in presenting findings to stakeholders and implementing data-driven strategies across the organization. Join us in a dynamic environment where your analytical prowess and innovative methods will support the growth and efficiency of our company.

Responsibilities

• Collaborate with stakeholders to understand business objectives and data needs comprehensively.
• Design, develop, and implement machine learning models to optimize various business processes.
• Analyze large, complex datasets to extract actionable insights and align them with business strategies.
• Develop predictive models to anticipate market trends and inform strategic decision-making.
• Ensure the integrity and accuracy of data through robust data cleaning and validation techniques.
• Create visualizations and reports to present complex data insights to non-technical stakeholders.
• Partner with IT and data engineering teams to enhance data infrastructure and workflows.
• Research and apply the latest data science techniques and algorithms to enhance analytical frameworks.
• Mentor junior data scientists and analysts in developing analytical skills and techniques.
• Continuously assess and adopt new tools and technologies to improve data analysis efficiency.
• Maintain a high level of data security and privacy standards in all projects and analyses.
• Identify opportunities for process improvements and propose innovative solutions to challenges.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data science roles with expertise in statistical analysis and machine learning.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation.
• Strong experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Ability to extract insights from large and diverse data sets using advanced analytics techniques.
• Excellent problem-solving skills and the ability to communicate complex findings clearly.
• Familiarity with cloud computing and big data environments such as AWS, Azure, or Google Cloud.