Principal Data Scientist

About the Role

Key Responsibilities

• Use independent judgment and discretion to create innovative and cutting-edge algorithmic solutions, employing unconventional approaches to address complex challenges with a broad impact on the company.
• Lead and mentor a team of junior data scientists through all phases of solution development, including data pre-processing, modeling, testing, deployment, and performance monitoring in live environments.
• Demonstrate exceptional communication skills to effectively convey complex data science concepts to stakeholders across the organization.
• Foster a collaborative environment by engaging with diverse teams and promoting cross-functional cooperation.
• Stay at the forefront of research and emerging trends in data science.
• Evaluate and validate the potential impact of new ideas on the platform, products, and customer experience.
• Complete additional tasks as needed.

Requirements

• Bachelor's degree in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics; Master's or Ph.D. preferred.
• 7+ years of experience in the Data Science field.
• 3+ years of experience developing commercial software with strong algorithmic, AI/machine learning, or signal processing components.
• Deep understanding of data science principles, algorithms, and practices, including deep learning, machine learning, statistics, probability, signal processing, and sensor physics.
• Proven coding skills using scripting languages such as Python, Pandas, NumPy, and SQL.
• Advanced knowledge of Big Data infrastructure, computation, storage, and scalable AI/ML platforms & tools like Spark, Ray, TensorFlow, Keras, Torch, Caffe.
• Strong visualization and data literacy skills, with the ability to translate mathematical representations into simple visualizations and statistical results.

Nice to Have

• Experience with additional AI/ML frameworks and tools.
• Strong customer-focus and presentation skills.
• Experience working in a collaborative, cross-functional environment.

Qualifications

• Bachelor's degree required; Master's or Ph.D. preferred.
• 7+ years of professional experience in Data Science.
• 3+ years of experience with commercial software development involving algorithms, AI/machine learning, or signal processing.

Benefits & Perks

• Fair and competitive salary with annual performance bonus.
• Equity in the form of Restricted Stock Units (RSUs).
• Medical, Dental, Vision, and Life Insurance.
• Matching 401(k), short-term & long-term disability, and parental leave.
• Unlimited Paid Time Off including vacation, sick days, and public holidays.
• Flexible scheduling and work-from-home policy depending on role.
• Extensive wellness, education, and employee assistance programs.
• Participation in employee resource groups and a positive, inclusive work environment.