Data Scientist (225-725)

As a Data Scientist, you will play a crucial role in analyzing large datasets to derive actionable insights that drive business decisions. You will collaborate with cross-functional teams to understand their analytical needs and employ advanced statistical methods to address complex problems. Your expertise in machine learning, data mining, and algorithm development will help in uncovering hidden patterns, trends, and associations within the data. The ideal candidate is passionate about data, possesses a strong analytical mindset, and is adept at communicating results succinctly to stakeholders. Your creative approach to problem-solving will contribute to the design and development of predictive models and data-driven strategies that enhance the company's operations and customer satisfaction.

Responsibilities

• Develop and implement advanced data analytics models to support business objectives.
• Collaborate with teams to identify their data analysis needs and provide tailored solutions.
• Design and conduct experiments to test hypotheses and evaluate potential strategies.
• Create predictive models and machine learning algorithms to improve decision-making processes.
• Analyze large datasets to identify trends, patterns, and insights for strategic initiatives.
• Transform raw data into actionable insights through statistical analysis and data visualization.
• Communicate complex data findings and insights clearly to stakeholders and decision-makers.
• Work with engineers to ensure data quality and reliability for analysis purposes.
• Continuously monitor and refine models based on evolving data and business needs.
• Stay updated with the latest advancements in data science methodologies and technologies.
• Lead initiatives to improve data collection and data processing workflows.
• Document analytical processes, results, and insights for reference and scalability.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, or related field.
• Proven experience in data analysis, statistical modeling, and machine learning.
• Proficiency in programming languages such as Python, R, or Scala for data analysis.
• Strong understanding of databases and experience with SQL for data manipulation.
• Expertise in using data visualization tools like Tableau or Power BI to convey insights.
• Excellent problem-solving skills and an analytical mindset for complex data challenges.
• Strong communication skills with the ability to translate data findings into business insights.
• Experience with big data technologies such as Hadoop or Spark is a plus.
• Ability to work collaboratively in a team environment and across different departments.
• Self-motivated, with a passion for staying abreast of the latest data science trends.