Location: Hoboken, NJ
Company: A top retailer company
Title: Full time
Position: Staff Data Scientist
1. Act as a thought leader to identify and understand the right problems to solve for customers, ensuring that the solutions developed align with their needs and expectations; 2. Design and implement state-of-the-art machine learning approaches, utilizing your expertise in Python or Java to develop innovative and effective solutions; Take on the role of a tech lead, guiding and mentoring co-workers, and defining the roadmap for yourself and the team; 3. Develop end-to-end ownership of major customer-facing technologies, taking responsibility for their design, development, and deployment. This includes monitoring their performance, addressing issues promptly, and continuously improving the technology for optimal customer satisfaction. 4. Become an expert in one of these specific areas - NLP, search ranking, or computer vision - by staying updated with the latest advancements, conducting research, and implementing cutting-edge techniques to solve related problems.1. A PhD in computer science or a related field, along with at least 3 years of experience or Masters degree in related fields with 5 years of experience provides the necessary expertise for success in this role; 2. Highly proficient in Python or Java; 3. Extensive experience in building machine learning projects with terabytes of data, demonstrating the ability to handle and process complex data sets effectively; Experience working as a tech lead, showcasing the ability to guide and mentor a team, manage projects, and ensure successful outcomes; 4. Active participation in the community through blog posts, papers, or conference talks, highlighting a commitment to knowledge sharing and staying at the forefront of advancements in the field.Position: Senior Data Scientist1. Applying machine learning ranking algorithms to maximize the relevance of search systems and minimize risks; 2. Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems; 3. Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development; 4. Performing and leading developments using machine learning techniques in one or more of the key areas like NLP, computer vision, information retrieval, entity recognition, product classification, and recommender system.1. You have experience with data cleaning, preparation, and featurization and selection techniques; 2. You have experience working with large data sets to solve problems; 3. You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop; 4. You have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; 5. You have effective communication, interpersonal and teamwork skills; You have the ability to handle multiple concurrent projects while working independently and in teams; 6. You can work in a fast-paced and deadline driven environment; Fresh Ph.D. or Master's degree with 2 years experience in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.
Announce date: March 31, 2024
Application deadline: April 30, 2024
Expire date: May 31, 2024
Open to public (Anyone can apply)
This position is free to apply
