Lead Data Scientist

As the leading innovator in low-power wireless connectivity, Silicon Labs (NASDAQ: SLAB) is dedicated to building embedded technology that connects devices and enhances lives. By integrating cutting-edge technology into highly integrated SoCs, we empower device makers with the solutions, support, and ecosystems necessary for developing advanced edge connectivity applications. With our headquarters in Austin, Texas, and operations spanning over 16 countries, Silicon Labs is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. To learn more about us, visit www.silabs.com. In this role, you will lead and execute complex data science initiatives that drive high-impact business decisions. You will be responsible for developing, deploying, and communicating advanced analytical models. Additionally, you will provide technical guidance to junior data scientists and collaborate closely with cross-functional teams to achieve data-driven outcomes. Your responsibilities will include designing and implementing advanced statistical and machine learning models to solve complex business problems. You will lead full-cycle analytics projects, from problem definition to data exploration, model development, evaluation, and deployment. Collaboration with stakeholders to align data science solutions with business goals, providing technical mentorship to junior team members, and translating complex modeling outputs into actionable insights for senior leadership will also be key aspects of your role. As for qualifications and skills, we are looking for candidates with a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Masters preferred). A minimum of 4 years of experience in data science, machine learning, or advanced analytics is required. You should have advanced proficiency in Python or R, SQL, and machine learning libraries such as scikit-learn and TensorFlow. A strong grasp of statistical analysis, experimental design, model evaluation techniques, and excellent written and verbal communication skills are essential. Experience in leading complex data projects, familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure), and MLOps practices will be advantageous. Joining our team not only means being part of a highly skilled and close-knit group where every engineer's contribution is significant, but also enjoying a good work/life balance and a welcoming, fun environment. We offer benefits and perks such as Equity Rewards (RSUs), Employee Stock Purchase Plan (ESPP), insurance plans with Outpatient cover, National Pension Scheme (NPS), flexible work policy, and childcare support. If you are passionate about data science, machine learning, and advanced analytics, and are eager to make a meaningful impact in a dynamic and innovative environment, we welcome you to apply and be part of our team at Silicon Labs.,