Sr. Data Scientist 29N25

We are seeking an experienced and highly analytical Senior Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive business insights and foster data-driven decision-making. Our ideal candidate is passionate about data, has a strong track record of solving complex problems, and can communicate results effectively to both technical and non-technical stakeholders. As a Senior Data Scientist, you will work closely with cross-functional teams to design experiments, build predictive models, and deploy scalable solutions that have a significant impact on our operations. If you are a strategic thinker with innovative ideas and a deep understanding of the data science field, we would love to hear from you.

Responsibilities

• Develop and implement advanced machine learning models to solve complex business problems.
• Analyze large datasets to extract meaningful insights and drive strategic decision-making.
• Collaborate with data engineering teams to ensure seamless integration of data systems.
• Design, test, and deploy predictive models in production environments efficiently.
• Identify opportunities for process improvement through innovative analytical strategies.
• Present insights and recommendations to stakeholders in a clear and compelling manner.
• Stay updated with the latest trends and technologies in data science and analytics.
• Mentor and guide junior data scientists in best practices and technical skills development.
• Work closely with product teams to align data science initiatives with business objectives.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Use statistical methods to identify trends, patterns, and anomalies in complex datasets.
• Facilitate data-driven discussions and influence strategic decisions across all levels of the organization.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• A minimum of five years of experience in data science or a related analytical field.
• Proficiency in statistical programming languages like R, Python, or Scala is required.
• Strong knowledge of machine learning algorithms and predictive modeling techniques.
• Experience with data visualization tools, such as Tableau, Power BI, or similar platforms.
• Excellent problem-solving skills with a strong analytical and quantitative mindset.
• Proven ability to work collaboratively in a team environment and manage multiple projects.
• Exceptional communication skills, capable of explaining complex data insights to non-experts.