Senior Data Scientist (225-613)

As a Senior Data Scientist, you will be at the forefront of transforming data into actionable insights and strategic decision-making tools. You will be expected to leverage your extensive experience in data science to analyze complex datasets, develop predictive models, and implement machine learning algorithms to drive business growth. In this role, you will collaborate with cross-functional teams to understand their data needs and deliver solutions that empower them to achieve their objectives. If you have a passion for discovering innovative methods to unlock the potential of data, and enjoy working in a fast-paced and dynamic environment, this position may be perfect for you.

Responsibilities

• Analyze large volumes of data to extract meaningful insights and patterns.
• Develop and deploy machine learning models to solve complex business challenges.
• Collaborate with stakeholders to understand their data-driven needs and objectives.
• Design and implement data pipelines to ensure efficient data processing and analysis.
• Communicate findings and provide recommendations to non-technical stakeholders effectively.
• Mentor and guide junior data scientists to enhance their technical skills and knowledge.
• Stay updated with the latest technologies and advancements in data science practices.
• Prepare detailed reports and presentations for stakeholders to facilitate decision-making.
• Utilize statistical techniques to validate and improve data-driven models and approaches.
• Work closely with software engineers to integrate data solutions into existing systems.
• Ensure data quality and integrity by establishing robust data governance frameworks.
• Conduct A/B testing to evaluate and optimize machine learning models and hypotheses.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
• Minimum of 5 years of experience in applied data science roles or similar positions.
• Proficiency in programming languages such as Python, R, or SQL for data analysis.
• Strong experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Demonstrated ability to interpret complex data and develop advanced predictive models.
• Excellent communication skills to convey technical findings to a non-technical audience.
• Experience with big data technologies such as Hadoop, Spark, or similar platforms.