Source:
AI, ML and Data Science Engineer Senior
RealmOne
Columbia, United States
Publication date: 30/08/2026
Position contingent upon contract award! Combines deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Responsibilities include working with business leaders to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results.
Responsibilities
Combines deep data and analytics skills with strong business acumen to solve business problems; Understanding, preparing, and analyzing data to predict emerging trends; Providing recommendations to optimize business results; Working with business leaders to solve business problemsRequirements
Over 10 years of experience and a MA/MS degree; Active Security Clearance; Mathematical optimization; Discrete-event simulation; Rules programming; Predictive analytics; Data Science; Apache Ambari; MapReduce; Spark; Lambda; Resilient Distributed Dataset; Java; Zookeeper; Knox; Big Data; IBM BigInsights; Apache Hadoop; SQL; RDBMS; Python; Big SQL; BigSheets; Big R; Text Analytics; GPFS; HDFS; Platform Symphony; Structured And Unstructured Data; Open Source; R; POSIX; Yarn; Sqoop; Flume; JSON; XML; NoSQL; HBase; Pig; Hive; Oozie; Apache Solr; JSqsh; Data Server Manager; AQL; Data Security; Data Governance; Networking; Neural NetBenefits
Healthcare Coverage + Insurance; Tax-advantaged health savings account with generous employer contribution; Dental + Vision 100% employer-paid for employees and family; 401K - 10% total contribution - 5% safe harbor - 5% annual profit share; 4 weeks starting PTO; 11 federal holidays + 2 floating holidays; Paid hours for company-required training; Access to FREE 24/7 learning via Udemy; Opportunities to participate in tech councils and industry initiatives; $7,500 annual Educational & Professional Development Assistance; Paid parental leave; Annual swag drops; Flexible work schedules; Generous referral bonus program; Employee appreciation + family-friendly corporate eventsHow to apply
Apply online: https://www.jobs.pl/en/oferta/100035799/aplikuj
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