Description

Job Details Idexcel s client is looking for a Job Title: Jr Data Scientist @ Herndon VA (Hybrid) to join their team on Full-time basis Job Title: Jr Data Scientist Location: Herndon, VA( Onsite ) Duration: Full Time We re hiring technical Machine Learning Developers to collaborate with our Data Scientists to deliver ground-breaking solutions for customers. We are looking for builders to support our efforts in the Enterprise, SMB, and start-up communities. The ideal candidate will have deep experience in the following fields: Enterprise Application Development w/ serverless technologies, build and integrate ML (Machine Learning) and DL (Deep Learning) models into applications. A familiarity with cloud solutions (Must have AWS) and DevOps is a must. This candidate will need a strong background in machine learning, and will work with a team of data scientists to build end to end solutions. And, of course, the candidate MUST be willing to learn new technologies. A commitment to team work, hustle, and communication skills are important in this role. Creating reliable, scalable, and high-performance ML / AI solutions requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. BASIC QUALIFICATIONS BS or Masters degrees in computer science, engineering, or related technical, math, or scientific field 2+ years Application Development experience required with cloud technologies At least 2+ years experience in building large-scale machine learning and AI solutions at scale. 2+ years of Architecture experience: data pipelines, distributed computing engines 2+ years of Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PL/SQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms) 2+ years of Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision) PREFERRED QUALIFICATIONS 2+ years of Machine Learning Experience: ML algorithms, experience with training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines) 2+ years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3 2+ years of Data Science experience: Python (NumPy, SciPy, Pandas, SciKit-learn, TensorFlow/PyTorch/MXNet 2+ years of Machine Learning experience: supervised learning (regression), supervised learning (classification)

Role and Responsibilities

• We are looking for builders to support our efforts in the Enterprise, SMB, and start-up communities.