Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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FMR LLC d/b/a Fidelity Investments Senior Manager, Data Science - 2092928 in Jersey City, New Jersey

Position Description:Consults with business and technology partners to identify priorities and establish data analytic goals. Translates use cases to Artificial Intelligence (AI), Machine Learning (ML), and analytics -- data, algorithms and validation strategy. Drives data identification, collection, and qualification activities. Leads efforts to identify signals in data that address use cases directly or can be leveraged by analytics teams. Designs and provides critical reviews for algorithmic approaches. Primary Responsibilities: · Provides ML leadership on complex projects, often across several business units and functions.· Works directly with technology teams to integrate data science models into production systems.· Writes and delivers reports on findings for technical and non-technical audiences. Provides critical reviews for algorithm designs.· Provides core reviews for algorithm implementations.· Conducts research and publications for the technical community.· Assesses data and algorithm design recommendations from data scientists and recommends changes to larger and more complex systems.· Defines data and model governance practices to operationalize standards.· Formulates mathematical and simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.· Performs validation and testing of models to ensure adequacy and reformulate models.· Manages the formulation of mathematical modeling and optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions.· Collects and analyzes data and develops decision support software, service, or products.· Develops and supplies optimal time, cost, or logistics networks for program evaluation, review, or implementation.· Elicits, captures, and interprets customer problems from multiple perspectives across projects or within a program.· Establishes and project manages analysis plans for multiple complex work steams.· Manages the estimation, planning, analysis, design, and development of projects.· Holds accountability for integration into larger, multi-disciplined projects, as appropriate.· Leads and oversees ML strategy and road map planning.· Works across teams to influence and lead the direction of external teams. Education and Experience: Bachelor’s degree (or foreign education equivalent) in Analytics, Data Science, Advanced Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and five (5) years of experience as a Senior Manager, Data Science (or related occupation) researching and building scalable AI solutions using ML and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results. Or, alternatively, Master’s degree (or foreign education equivalent) in Analytics, Data Science, Advanced Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and two (2) years of experience as a Senior Manager, Data Science (or related occupation) researching and building scalable AI solutions using ML and Natural Language Processing (NLP) models and technologies to improve customer experience and drive business results. Or, alternatively, PhD degree (or foreign education equivalent) in Analytics, Data Science, Advanced Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, or a closely related field and no experience. Skills and Knowledge: Candidate must also possess: · Demonstrated Expertise (“DE”) performing advanced statistical analytics to develop and evaluate supervised and unsupervised ML algorithms -- Regression, Decision Trees, Neural Networks, Feature Selection, Hyper-Parameter tuning, and ranking models -- using Python and ML libraries (scikit-learn, Tensorflow, Keras, or PyTorch).· DE designing and developing NLP solutions to process unstructured and semi-structured text for NLP tasks - Named Entity Extraction (NER), intent detection, classification, or clustering -- using classical NLP and ML methods (Deep Learning (DL) and embeddings); and launching ML and DL models in a production environment and performing data and runtime profiling of the solutions to assess the efficacy of the ML and AI algorithms.· DE processing and analyzing large scale datasets and reviewing for AI biases using time series analysis, econometrics, and statistical inferences.· DE refactoring production-level code to achieve greater run-time performance and low latency; prototyping and deploying ML solutions using Docker-containers and Cloud-based environments (Amazon Web Services (AWS) servers or AWS SageMaker); and building service end-points, using REST API and Flask.[Expertise may be gained during doctoral program]. Salary: $156,375.00-$162,200.00/year.

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