Junior Data Scientist

PackageX is modernizing the way logistics is done.We believe logistics shouldn't be a black box. PackageX helps businesses to stop flying blind and relying on point solutions and outdated logistics systems that don't talk to each other. PackageX lets customers gain control of their logistics operations across shipping, tracking, storage, delivery, and receiving on a unified platform to improve efficiency, sky-rocket growth, and meet fast-changing end-customer expectations. We're a seedstage tech startup based in New York City with a distributed global team. We’re backed by Sierra Ventures, Ludlow Ventures, MXV Capital, Pareto Holdings, and other strategic investors and angels. We're always looking for talented humans who want to challenge the status quo and join us on the journey in building the future of logistics alongside us.
What we are looking forWe’re looking for passionate data scientists to come work alongside us to take on some of the most interesting and impact-full problems. Data Scientists have strong analytical skills, great attention to detail, and excellent programming ability. You should be observant enough to see how we can leverage Data to solve client pain-points. You will coordinate with other professionals in order to develop effective systems, so they need to have the ability to work as part of a team and demonstrate strong oral communication skills. A strong mathematical/language background and problem-solving skills are a must. Written skills are required so that the results can be conveyed to the client.
You will·         Understand our clients’ proprietary data and external data sources, gather data and automate data pipelines.·         Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems·         Design, develop, implement, validate, deploy and maintain advanced predictive models using advanced data mining, machine learning and deep learning techniques. ·         Develop metrics and dashboards to measure and track the value of the solutions·         Meet the coding style and standards requirements in python Pep 8, Flake 8 etc·         Collaborate with people from different backgrounds to formulate innovative solutions to experiment and implement advanced data mining techniques.·         Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.
We are looking for someone who has·         Bachelors in computer science, electrical engineering or any related fields (statistics, applied math) with at least 1+ years of experience·         Deep technical understanding of advanced areas of machine learning, deep learning and data mining.·         Strong understanding of at least one area of deep learning i.e. Computer Vision, Sequence Modelling etc. ·         Strong computer science fundamentals in algorithms and data structures. ·         Fluency in Python stack for data processing, visualization and modeling (Numpy, Pandas, OpenCV, ·         Scikit_Learn, Keras, Tensorflow, Pytorch, NLTK, Theon, Matplotlib/Seaborn)·         Fluency in at least one of the following deep learning frameworks Tensorflow/Pytorch/Keras.·         Excellent understanding of databases and proficiency in either SQL/NoSQL·         Understanding of Linux environment and deployment on cloud is required.·         Excellent communication skills.·         Ability to read and implement research is required.·         Participation & a good position in Kaggle Competitions would be a big plus.·         Understanding of Agile methodology and Scrum.
Why choose usWe are a global team of hustlers who challenge status-quo to build something great and meaningful for the customers we serve. We strongly believe that our product innovation, speed to service/support, and partnership mindset sets us apart from the fragmented competition and available legacy systems. Our leadership, advisors, and investors have extensive experience in building, supporting, and scaling tech companies in logistics, retail, CRM, media, and consulting. We have got all it takes to build an enterprise of the future. We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.