Data Scientist Level lll
Indian Springs, NVFull-timePosted 4mo agoSeen in employer's feed 3 days ago
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Job overview
Mb Solutions, Inc. is hiring a Data Scientist Level lll. Mb Solutions, Inc. is seeking a highly skilled and innovative Data Scientist Level III to join their dynamic analytics team. This role involves leveraging extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. The Data Scientist will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units, translating data into actionable intelligence.
Successful candidates bring US Citizen, Tier 1 Security Investigation, and Bachelor's Degree In Computer Science/Operations Research. Important skills include Machine Learning, Data Mining, Big Data Technologies, AI Frameworks, Python, and R.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Indian Springs, NV, USA | Full Time
Job OverviewWe are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.
Requirements
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Must be a US Citizen
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Must have a favorable Tier 1 (T1) security investigation
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Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
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Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
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Experience with software development lifecycle and use of associated tools.
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Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
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Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
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Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
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Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
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Willingness to learn new skills and technologies and exit "comfort zone".
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Good organization, decision making, and verbal and written communication skills.
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High level of self-initiative and self-motivation with the ability to work under minimal supervision.
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Ability to work effectively in small team settings to solve complex problems
Benefits:
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401(k)
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Dental insurance
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Retirement plan
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Tuition reimbursement
Work Location: In person
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