Blockchain Technologies Corporation - Palo Alto, CA
posted 4 months ago
The Data Science Engineer - Machine Learning position at BLOCKCHAIN TECHNOLOGIES LLC is a critical role focused on leveraging statistical and machine learning methodologies to address complex problems within the healthcare, insurance, and IT/software domains. The consultant will be expected to propose innovative models and methodologies that can effectively solve specific challenges faced by the organization. This includes defining accuracy measures and validation criteria to ensure the robustness of the proposed solutions. The role also involves implementing and evaluating these models, providing deep technical guidance and mentorship to the team, and collaborating closely with product managers to shape the vision and design of machine learning products. The ideal candidate will possess a strong educational background, holding a Master's or Ph.D. in Computer Science, applied mathematics, or a related engineering discipline. With over four years of experience in building data-powered products, the candidate should have a solid foundation in machine learning, statistics, and programming. A proven track record in analyzing large-scale complex datasets and applying modeling and machine learning algorithms is essential. The role requires expertise in at least one high-level programming language such as Java, Scala, C++, or Python, with proficiency in libraries like NumPy, SciPy, and Pandas. Familiarity with statistical modeling tools such as R, Matlab, or Weka is considered a plus. BLOCKCHAIN TECHNOLOGIES LLC is committed to fostering an inclusive workplace, welcoming applicants from diverse backgrounds, including women, minorities, individuals with disabilities, and veterans. The company adheres to equal opportunity employment practices, ensuring that all hiring, promotion, transfer, compensation, and other employment decisions are made without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. The organization is dedicated to compliance with all applicable labor and employment laws, ensuring a fair and equitable hiring process.