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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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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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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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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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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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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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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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Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Juris Doctorate, or a related field is required, Masters preferred. Grant Thornton is seeking a Cyber Privacy and Data Protection Senior Manager to join our team in Chicago, IL. Additional approved locations include: Atlanta, GA, Bellevue, WA, Boston, MA, Charlotte, NC, Dallas, TX, Houston, TX, Los Angeles, CA, New York, NY, Philadelphia, PA, San Francisco, CA and San Jose, CA.
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Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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data science jobs Company: Home Depot in Atlanta, WA, Canada
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