Data Scientist (225-1010)

We are seeking a highly skilled and experienced Data Scientist to join our dynamic data analytics team. The ideal candidate will possess a strong analytical mindset, proficient in statistical analysis and machine learning techniques to collect, process, and analyze complex datasets. They will play a crucial role in transforming raw data into actionable insights that drive strategic business decisions, improving efficiency and enhancing process automation. The candidate should be an expert in model development and deployment, providing data-driven recommendations and insights. Join us if you are passionate about leveraging data to influence business strategy and wish to work in an environment that fosters innovation and creativity.

Responsibilities

• Analyze large datasets to extract actionable insights for business stakeholders.
• Collaborate with cross-functional teams to understand business challenges and develop data solutions.
• Develop predictive models to improve customer engagement and business processes.
• Implement advanced machine learning algorithms to solve complex data problems.
• Monitor the performance of data models and optimize them as necessary.
• Prepare comprehensive reports highlighting key data insights and trends.
• Ensure data integrity and quality by implementing effective data preprocessing techniques.
• Stay updated with the latest advancements in data science and propose innovative solutions.
• Create visualizations that communicate the critical findings of data analyses clearly.
• Work closely with the IT department to ensure proper deployment of analytic solutions.
• Assist in designing and developing scalable solutions that cater to various data requirements.
• Provide training and guidance to junior data scientists and analysts.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, or relevant field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Excellent understanding of machine learning techniques and statistical models.
• Experience with data visualization tools like Tableau or Power BI.
• Ability to communicate complex data insights into simple and actionable recommendations.
• Strong project management skills with the ability to multitask effectively.
• Exceptional problem-solving skills and a keen attention to detail.
• Ability to work collaboratively in a team-oriented environment.
• Strong knowledge of data warehousing concepts and ETL frameworks is an advantage.