Senior Data Scientist 31O25

As a Senior Data Scientist at our company, you will be at the forefront of driving innovation and shaping the future of data analytics. Our team is dedicated to harnessing the power of data to deliver insights that propel business decisions and strategies. In this role, you will leverage your expertise in advanced statistical methods, machine learning, and data modeling to extract meaningful insights from large sets of structured and unstructured data. You will collaborate with cross-functional teams, including engineering, product, and marketing, to develop and implement data-driven solutions that enhance our products and services. The ideal candidate is a strategic thinker, passionate about data, and has a proven track record of making significant impacts through the application of data science techniques.

Responsibilities

• Develop and implement complex machine learning models to solve business problems.
• Analyze large datasets to uncover trends, patterns, and actionable insights for stakeholders.
• Collaborate with software engineers to deploy data-driven solutions into production systems.
• Create and maintain scalable data pipelines and initiate automation of repetitive tasks.
• Lead exploratory data analysis projects to identify new opportunities for business improvement.
• Communicate results and analytical findings effectively to both technical and non-technical audiences.
• Mentor junior data scientists, providing guidance and support for their professional development.
• Stay current with advancements in data science and apply new techniques to ongoing projects.
• Participate in cross-functional teams to align data-driven initiatives with business objectives.
• Develop and leverage dashboards for real-time data visualization and reporting purposes.
• Ensure data integrity and accuracy across various data systems and platforms.
• Collaborate with international teams to ensure data solutions are globally applicable.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of five years of experience in data science or analytics roles required.
• Proficiency with programming languages such as Python, R, or Scala is essential.
• Strong knowledge of machine learning frameworks like TensorFlow or PyTorch.
• Experience with big data technologies including Hadoop, Spark, or similar platforms.
• Excellent problem-solving skills with the ability to work independently and collaboratively.
• Strong communication skills necessary for conveying technical information to non-experts.
• Ability to manage multiple projects simultaneously and meet tight deadlines efficiently.