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  • TS/SCI Senior Data Scientist

    Insight Global (Mclean, VA)



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    Job Description

    We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data science, machine learning, and natural language processing (NLP) to design, implement, and optimize ML models. You will work with large-scale data systems and streaming data environments to deliver impactful solutions.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation

     

    5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

     

    Experience with production-level systems, data lake environments, and streaming data, including Kafka

     

    Experience implementing end-to-end ML workflows from data prep to deployment and evaluation

     

    Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes

     

    Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search

     

    Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week

     

    TS/SCI clearance

     

    Bachelor's degree Experience in collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines

     

    Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera

     

    Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL

     

    Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL

    Experience with visualization packages, including Plotly, Seaborn, or ggplot2 null

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

     


    Apply Now



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