Degree in Artificial intelligence- AI
Aartificial intelligence, Agile methodologies, Data science techniques, Deep Learning, Elasticsearch, Git, JIRA, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, Scikit-learn, Snowflake, SQL
Overview
We’re looking for a Full Stack Data Scientist that will help our customers discover the information hidden in vast amounts of data to sense, make sense, and act in the Information Environment. In this role, you will make sure AI/ML projects are more systematic, repeatable, and well maintained. This is a hybrid role where you will have a data science focus and an MLOPs engineering focus. We value that our DS team is able to act and add value at their own pace, while ensuring that our impactful work is packaged so that it can be easily integrated into our products when both the data science and the product are ready. We feel the best way to accomplish this is by having a data scientist with MLOPs skills sitting on the DS team. The DS responsibilities center around using AI/ML to build solutions to challenging problems. The goal of your MLOPs role will be to help us deploy models and ad-hoc tools for immediate use by internal users and ensure they are deployed in a way that allows them to be easily inserted into the company's main products. Additionally, we will utilize your MLOps skills to monitor algorithms metrics, improve performance, and set best practice.
MLOps Engineer Responsibilities
Data Science Responsibilities
Additionally, as a part of the Data Science team you’ll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. You may experiment with a range of data science techniques to build tools and produce insight, including machine learning, network analysis, sampling methodologies, multi-language NLP, and data visualization.
Here are some of the skills you’ll need to dive into the role:
Technical
Collaboration
Flexibility
‘Nice to have’ expertise to highlight in your resume
Clearance/Citizenship
Travel
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Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law.
If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accomodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
At Two Six Technologies, we do work that matters, providing innovative products that solve today’s most complex real-world challenges. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to support our customers and empower our team.
Arlington, VA, USA
4-6 year
Arlington, VA, USA
10-12 year
Arlington, VA, USA
10-12 year