Data Science Team Lead

2 days ago

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Relocity, Inc.

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Talent Mobility • Global Mobility • HR Tech • Relocation • Destination Service

201 - 500

Description

• Relocity is seeking a Data Science Team Lead to guide the development of our AI-driven mobility platform. • You will be responsible for the end-to-end design and implementation of machine learning models and data science solutions. • Your technical leadership will be key to ensuring that Relocity stays at the cutting edge of AI and data science. • Lead the technical execution of data science projects tailored to solving challenges in the global mobility space. • Develop AI models that deliver personalized content to transferees based on their profile. • Collaborate with product and engineering teams to integrate innovative AI solutions into user-facing tools. • Ensure data pipelines and models are optimized for large-scale data sets related to global mobility. • Use advanced analytics to uncover trends in global mobility, providing actionable insights.

Requirements

• Minimum of 7+ years of experience in data science, with at least 3+ years in a technical leadership or similar role. • Machine Learning Expertise: Strong knowledge of machine learning algorithms, statistical modeling, and predictive analytics, with a track record of building and deploying models in production environments. • Data Science Tools & Technologies: Expertise in Python, R, SQL, and data science libraries (e.g., TensorFlow, XGBoost, Scikit-learn), as well as experience with cloud platforms like AWS, GCP, or Azure. • Leadership & Mentorship: Proven experience leading and mentoring Data Science teams, guiding them in the development of robust, scalable solutions. • Problem-Solving & Innovation: Ability to tackle complex problems, identify innovative solutions, and apply advanced analytical techniques to real-world use cases. • Collaboration & Communication: Strong communication skills, able to work effectively with both technical and non-technical stakeholders. • Project Management: Experience managing multiple projects simultaneously, ensuring timely and successful delivery of data science solutions. • Data Engineering Collaboration: Familiarity with data engineering concepts and the ability to work closely with Data Engineers to build scalable data pipelines. • Master's Degree in Data Science, Computer Science, or a related field; PhD preferred.

Benefits

• Competitive Compensation • Paid Time Off • Paid Parental Leave • Remote Workplace • Flexible Work Schedules • Health, Dental, Vision, LTD Insurance • 401(k) • Professional Development Opportunities