Sr Data Scientist 10N25

As a Senior Data Scientist, you will play a pivotal role in extracting valuable insights from vast troves of data and transforming these into actionable strategies for our organization. You will be at the forefront of our data initiatives, implementing advanced statistical models and machine learning algorithms to unearth patterns and forecasts that facilitate informed decision-making. Your expertise will guide the development of reliable and scalable data analytics solutions, ensuring they align with our business goals. You will collaborate with cross-functional teams to understand data needs, create analytical solutions, and provide technical leadership in data science practices. With your deep knowledge and analytical prowess, you will drive innovations and improve our product offerings, significantly contributing to our growth and success in competitive markets.

Responsibilities

• Develop and implement advanced machine learning models for diverse business problems.
• Analyze complex datasets to extract actionable insights and improve decision-making processes.
• Collaborate with engineers and product teams to deploy data solutions in production environments.
• Create and maintain robust data pipelines and ensure data integrity throughout the lifecycle.
• Lead data science projects from conception through execution, ensuring timely delivery.
• Interpret and communicate findings to stakeholders with varying levels of technical expertise.
• Stay updated on the latest data science research and integrate best practices into workflows.
• Mentor junior data scientists and provide guidance in developing their technical skills.
• Drive data-driven strategies to improve customer experience and operational efficiency.
• Conduct ad-hoc analysis and present results to guide critical business decisions.
• Develop predictive models and algorithms to solve business problems and optimize processes.
• Maintain and improve the efficiency, scalability, and robustness of existing data systems.

Requirements

• Master's or Ph.D. degree in Data Science, Computer Science, or related field.
• At least 5 years of experience in data science or machine learning roles.
• Proven proficiency in programming languages like Python, R, or Scala.
• Strong experience with data visualization tools such as Tableau or Power BI.
• In-depth understanding of advanced statistical and machine learning techniques.
• Excellent communication skills for presenting complex data findings clearly.
• Ability to work collaboratively in a multidisciplinary team environment.
• Experience with big data technologies such as Hadoop, Spark, or similar platforms.
• Strong problem-solving skills with a keen attention to detail and accuracy.
• Experience in leading and managing data science projects across various industries.