Lead - Data Scientist

Silicon Labs (NASDAQ: SLAB) is a global leader in low-power wireless connectivity, specializing in embedded technology that connects devices and enhances everyday life. By integrating advanced technology into sophisticated system-on-chips (SoCs), Silicon Labs empowers device manufacturers with comprehensive solutions, support, and ecosystems to develop innovative connectivity applications. Headquartered in Austin, Texas, and operating in over 16 countries, the company is a trusted partner in smart home, industrial IoT, and smart city markets.

Key Responsibilities
Lead and manage complex data science projects that impact critical business decisions. Develop, deploy, and communicate advanced analytical models to address challenging problems. Provide technical leadership and mentorship to junior data scientists, collaborating closely with cross-functional teams to deliver data-driven outcomes. Design and implement statistical and machine learning models tailored to meet business objectives. Oversee the full analytics project lifecycle, including problem definition, data exploration, model development, evaluation, and deployment. Work with stakeholders to ensure alignment between data science initiatives and organizational goals. Translate complex model results into clear, actionable insights and present findings to senior leadership. Stay current with industry trends and best practices in AI, machine learning, and data science tools. Contribute to enhancing analytical workflows, coding standards, and data governance. Apply sound judgment to resolve ambiguous challenges and develop scalable solutions. Perform additional duties as required to support the data science team and broader company objectives.

Required Qualifications
A Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required; a Master’s degree is preferred. Candidates must have at least four years of experience in data science, machine learning, or advanced analytics. Proficiency in Python or R, SQL, and machine learning libraries such as scikit-learn and TensorFlow is essential. Strong expertise in statistical analysis, experimental design, and model evaluation techniques is necessary. Excellent written and verbal communication skills are critical, with the ability to influence both technical and non-technical audiences. Proven experience leading complex data projects and delivering measurable business impact is expected.

Preferred Qualifications and Benefits
Experience with cloud-based data platforms such as AWS, Google Cloud Platform, or Azure, along with familiarity with MLOps practices, is advantageous. Silicon Labs fosters a collaborative and skilled team environment where every engineer plays a vital role in product success. The company supports a healthy work-life balance and promotes a welcoming, inclusive workplace culture. Benefits include equity rewards through restricted stock units (RSUs), an employee stock purchase plan (ESPP), comprehensive insurance plans with outpatient coverage, participation in the National Pension Scheme (NPS), flexible work policies, and childcare support. Silicon Labs is an equal opportunity employer committed to diversity and inclusion, making employment decisions based solely on qualifications and job-related criteria without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic.