Senior Data Scientist (225-909)

As a Senior Data Scientist, you will play a crucial role in interpreting and managing complex data to enhance our business operations and strategy. This position requires you to leverage your extensive expertise in machine learning, statistical modeling, and data-driven decision-making to provide actionable insights. Working closely with IT, business, and analytics teams, you will design and implement high-level data strategies and solutions that are aligned with the company's objectives. You will also mentor and guide junior data scientists and contribute to the development of data science methodologies and processes. Your role is pivotal in driving the understanding and evaluation of massive data sets to meet organizational goals and improve overall business performance.

Responsibilities

• Design, develop, and implement complex data models and analytics solutions.
• Collaborate with business stakeholders to understand data needs and objectives.
• Lead projects in statistical analysis, predictive modeling, and machine learning.
• Mentor and provide guidance to junior data scientists within the team.
• Integrate and cleanse data from several sources to ensure consistency and quality.
• Translate business challenges into analytics problems and solutions.
• Develop and execute data strategies aligned with organizational goals.
• Visualize and communicate meaningful insights through dashboards and reports.
• Stay current with emerging data science technologies and methodologies.
• Collaborate with engineering teams to deploy models into production systems.
• Conduct complex data mining and research to identify trends and patterns.
• Support decision-making processes through data-driven analysis and insights.

Requirements

• Master's degree or higher in Data Science, Statistics, or related field.
• Extensive experience in statistical modeling and machine learning techniques.
• Proficiency in Python, R, SQL, and other relevant programming languages.
• Strong problem-solving skills with a keen attention to detail.
• Experience with big data technologies such as Hadoop, Spark, or similar.
• Excellent communication skills for effectively conveying complex insights.
• Proven track record in leading data science projects to successful outcomes.