{"schemaVersion":"jobsearcher.job.v1","id":"3b12a0aed8aaa9420b2bbecc","url":"https://jobsearcher.com/jobs/3b12a0aed8aaa9420b2bbecc","canonicalUrl":"https://jobsearcher.com/jobs/3b12a0aed8aaa9420b2bbecc","title":"Senior Data Scientist","description":"Company Description\n\nSatsyil is not a typical software solution company. Talented, hardworking, practiced professionals and principled people who are passionate about customers and software, brought together because they want to provide very affordable, simple and amazing solutions.\n\nJob Description\n\nLooking for Candidates with the following skills in priority order, also we are expecting the person to do both development and data science analytics work, most likely 50% development and 50% data science work:\nhttp\nelastic search\nApache zeppelin\ndata science\n\nResponsibilities\nSelecting features, building and optimizing classifiers using machine learning techniques.\nAbility to work with Hadoop/Hive/HDFS/Spark environments to be able to experiment and write the scalable programs.\nAbility to work with structured and unstructured datasets.\nAbility to work with large datasets.\nEnhancing data collection procedures to include information that is relevant for building analytic systems.\nProcessing, cleansing, and verifying the integrity of data used for analysis.\nDoing ad-hoc analysis and presenting results in a clear manner.\nCreating automated anomaly detection systems and constant tracking of its performance.\n\nQualifications\n\nExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\nStrong mathematical academic background.\nExperience with common data science tool-kits, such as NumPy, SciPy, NLTK, matplotlib, pandas, xlrd.\nExperience with data visualization tools like Kibana/Grafana.\nExperience in using Zeppelin type of tools for quick scripting.\nProficiency in using query languages such as Hive.\nExtensive experience in using HDFS/HIVE/Spark environments.\nExperience with NoSQL databases.\nGood applied statistics skills, such as distributions, statistical testing, regression, etc.\nGood scripting and programming skills (Python, Java – especially using Spark).\nData-oriented personality.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","company":"Satsyil","rawCompany":"satsyil","city":"Alexandria","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T14:02:04.525Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist","description":"Company Description\n\nSatsyil is not a typical software solution company. Talented, hardworking, practiced professionals and principled people who are passionate about customers and software, brought together because they want to provide very affordable, simple and amazing solutions.\n\nJob Description\n\nLooking for Candidates with the following skills in priority order, also we are expecting the person to do both development and data science analytics work, most likely 50% development and 50% data science work:\nhttp\nelastic search\nApache zeppelin\ndata science\n\nResponsibilities\nSelecting features, building and optimizing classifiers using machine learning techniques.\nAbility to work with Hadoop/Hive/HDFS/Spark environments to be able to experiment and write the scalable programs.\nAbility to work with structured and unstructured datasets.\nAbility to work with large datasets.\nEnhancing data collection procedures to include information that is relevant for building analytic systems.\nProcessing, cleansing, and verifying the integrity of data used for analysis.\nDoing ad-hoc analysis and presenting results in a clear manner.\nCreating automated anomaly detection systems and constant tracking of its performance.\n\nQualifications\n\nExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\nStrong mathematical academic background.\nExperience with common data science tool-kits, such as NumPy, SciPy, NLTK, matplotlib, pandas, xlrd.\nExperience with data visualization tools like Kibana/Grafana.\nExperience in using Zeppelin type of tools for quick scripting.\nProficiency in using query languages such as Hive.\nExtensive experience in using HDFS/HIVE/Spark environments.\nExperience with NoSQL databases.\nGood applied statistics skills, such as distributions, statistical testing, regression, etc.\nGood scripting and programming skills (Python, Java – especially using Spark).\nData-oriented personality.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","datePosted":"2026-07-23T14:02:04.525Z","dateModified":"2026-07-23T14:02:04.525Z","hiringOrganization":{"@type":"Organization","name":"Satsyil","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alexandria","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3b12a0aed8aaa9420b2bbecc"},"url":"https://jobsearcher.com/jobs/3b12a0aed8aaa9420b2bbecc"}}