Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Financial Services, BiotechnologyIndustries
Requirements
Candidates should possess a Ph.D. degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field, along with more than 10 years of experience in AI, data science, and predictive modeling. A track record of leading the development of impactful analytical solutions with Return on Investment for fraud detection, risk management, or marketing optimization is required, as well as proficiency in multiple programming languages such as Python, Java, C++, and C. Experience developing analytical solutions using deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and reinforcement learning, along with experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, and pandas is necessary. Furthermore, experience with large data analysis using Spark (pySpark preferred) and familiarity with LLMs and Generative AI tools is essential.
Responsibilities
As a Senior Principal Data Scientist at the Experian Innovation Lab, the role involves understanding market trends and client pain points to lead the Lab's R&D roadmap for the next 3-5 years, following new technologies in AI and Machine Learning to guide research efforts, leading the development of impactful analytical solutions with Return on Investment related to Identity management, fraud detection, risk management, and marketing optimization, solving complex challenges by developing impactful algorithms, crafting advanced machine learning analytical solutions to extract insights from diverse data sources, leading efforts to improve the Lab's data management and modeling processes, coaching junior team members, unearthing data value through appropriate techniques, improving data manipulation and retrieval, innovating with data processing tools, dissecting and documenting datasets, ensuring model excellence through validation and performance analysis, and articulating model processes and outcomes.
Skills
Predictive Modeling
Machine Learning
Deep Learning
Data Analysis
Data Prototyping
AI Technologies
Data Asset Evaluation
Leadership
Coaching
R&D Strategy
Expedia
Travel booking platform for flights, hotels, rentals
About Expedia
Expedia Group operates in the travel industry, offering a wide range of services for travelers and travel-related businesses. It connects users with options for flights, hotels, car rentals, vacation packages, and activities through its various brands, including Expedia, Hotels.com, and Vrbo. Travelers can easily find and book trips that match their preferences and budgets. The company earns revenue primarily through commissions on bookings and advertising from travel service providers looking to promote their offerings. Additionally, Expedia Group supports its partners by providing access to valuable data and technology, helping them improve their operations and grow their businesses. The goal of Expedia Group is to create a seamless travel experience for users while maximizing the potential of its partners.
Bellevue, WashingtonHeadquarters
1996Year Founded
$3,277.3MTotal Funding
IPOCompany Stage
Consumer Goods, EntertainmentIndustries
10,001+Employees