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A bachelor s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Description The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies.
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WHAT YOU'LL DO:Here's what you can expect on a typical day: Setup, Build and Grow the Team. You will work in close collaboration with the USA Data Science and Machine Learning team to setup the goals and roadmap to assemble a world-class team in close alignment with the company’s OKRs. Own and Manage Projects.
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COMPETENCIES REQUIRED:General:LSC is accepting applications from current undergraduate or graduate students studying Sociology, Political Science, Data Science, Computer Science, Criminology, Law and Society, Urban Planning, Public Health, or related fields; current law students with familiarity or interest in quantitative analysis are also encouraged to apply.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Master's degree in Business Analytics, Statistics, Mathematics, Econometrics, Data Science or related field and two (2) years of experience in the job offered or in a analyst-related occupation.
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Job Qualifications: How You Qualify Bachelor of Science (or higher) degree in Meteorology, Computer Science, or a related field, or at least 10 years of relevant experience in computer/systems administration, data operations, and related engineering.
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HCLTech is looking for a highly talented and self- motivated MuleSoft Data Architect to join in us advancing the technological world through innovation and creativity. Job Title: MuleSoft Data Architect.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. We're look for a Lead Data Scientist to spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of analytics' expertise.
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Provide input to the long/term plan for the Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
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Proficient in at least one analytical programming language relevant for data science. Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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data science jobs Title: data architect Company: Rtx
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