Senior Data Scientist

About the position

Live your purpose. Grow your career. Thrive through teamwork. Create meaningful, personalized experiences. At Lifespace, team members are at the center of delivering a purpose driven experience for our residents! We provide an environment where each team member can live their aspirations, developing in their career, making a difference, and being a part of a meaningful mission. Join our innovative IT team as our new Senior Data Scientist today! A few details about the role: Lead the design, development, and deployment of sophisticated statistical and machine learning models that address our most critical business challenges. Perform exhaustive data analysis on massive datasets, uncovering deep insights and actionable intelligence. Engage with senior executives and business leaders to understand their strategic objectives and translate them into data science initiatives. Stay at the forefront of the latest developments in data science, machine learning, and AI, integrating cutting-edge techniques and technologies into our solutions.

Responsibilities

• Lead the design, development, and deployment of sophisticated statistical and machine learning models.
• Perform exhaustive data analysis on massive datasets to uncover deep insights and actionable intelligence.
• Engage with senior executives and business leaders to understand their strategic objectives.
• Translate strategic objectives into data science initiatives.
• Stay updated on the latest developments in data science, machine learning, and AI.

Requirements

• Ph.D. or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
• 10+ years of hands-on experience in data science, machine learning, or a related field.
• Proven track record of success in high-impact projects.
• Extensive experience in developing, validating, and deploying machine learning models.
• Mastery of programming languages such as Python and R.
• Deep expertise in machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
• Advanced SQL skills and substantial experience in data manipulation and analysis.
• Proficiency with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).