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Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud). Proficiency in programming languages commonly used in data science, such as Python, R, or SQL.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Typical summer projects may involve one or more of the following: numerical simulations; programming for data acquisition and data analysis applications; design and assembly of laboratory hardware, including mechanical, electronic, and cryogenic components; and participation in quantum measurements.
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At least 10 years of experience in computer science, information technology or a related field preferably at a production studio, advertising agency and/or marketing company with focus on data-driven, omnichannel marketing.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities.
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We are looking for an experience utilities management consultant with passion for creative problem solving, client service, and project management who is interested in growing their expertise and industry relationships.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Problem solving using the application of Client Standards, NFPA, FM Global or other standard methodologies to resolve technical fire protection issues. Familiar with Assembly of Construction, Occupancy, Protection and Exposure (COPE) Data. Technically proficient in understanding, interpreting, and applying NFPA and/or FM Global standards; and, evaluating fire protection systems (automatic sprinklers, special extinguishing systems, etc.
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Expertise includes hands-on experience in NEWFEAT, ODBC, OFNF, OLDB, REP, SCHM, Unidata SQL. Excellent analytical and problem-solving skills Basic understanding of Unix and/or Linux. Expertise includes hands-on experience in NEWFEAT, ODBC, OFNF, OLDB, REP, SCHM, Unidata SQL. Excellent analytical and problem-solving skills Basic understanding of Unix and/or Linux.
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Strong problem-solving and analytical skills. Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Strong analytical skills and problem-solving approach. Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Juris Doctorate, or a related field is required, Masters preferred.
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problem solving data science jobs Title: director in Atlanta, CA, Canada
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