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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Specific areas of emphasis are Analytics and Data Science, Wearable Technologies, Paperless, AI, Digital Upskilling, Digital Workforce, and IT/OT. You will interface with site process and flow teams, Tech at Lilly leadership, global MQ Tech at Lilly functional teams, and the broader Tech at Lilly community at a project, application, or program level, and will help with the support of existing solutions.
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The position also coordinates disaster recovery and business continuity plans, develops security standards, manages architecture governance, prepares audit reports and remediation plans, and reports on data security measures.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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College degree in agriculture, civil or environmental management/engineering; geology, geography, soil science, natural resource management or a related field is required. Communicate and interpret information from regulatory reports and technical data with Regional President, Regional Vice-President and Division Presidents.
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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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Hands-on experience with Databricks for big data processing and HVR (Fivetran) for data integration. Experience with DBT (Data Build Tool) for data transformation and SAP FICO for financial accounting and controlling is highly preferred.
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Our fields of expertise span all areas of civil engineering and environmental science, including an extensive variety of specialty disciplines, such as environmental compliance and restoration, superfund site management, coastal engineering, urban development, and mining.
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Utilize techniques such as FTIR, NMR, GPC, and thermal analysis to analyze and interpret data. Comprehensive scientific knowledge, and experience in advanced material science characterization and analytical chemistry.
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Experience in full stack development including RESTFul APIs, SOA/MSA, Message brokers (Kafka), Distributed Data Management (NoSQL, Event sourcing), Observability (Grafana), Splunk, Devops, CI/CD, Nginx and AWS/Azure.
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Ph. D. with a strong background in biochemistry, chemistry, pharmaceuticals, medicinal chemistry, or a related life science degree. Bachelor's degree in life sciences, engineering, biomedical science, or related technical field highly desired.
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Basic Qualifications/RequirementsBachelor’s Degree in Business Analytics, Statistics, Data Science, or related field3 or more years of relevant professional experience in analytics, artificial intelligence, or automationQualified candidates must be legally authorized to be employed in the United States.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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The Company's end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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This job will deliver value to the Health Plan, and its beneficiaries enrolled in Risk Adjusted government programs such as Medicare Advantage (MA) and Affordable Care Act (ACA), using skills including but not limited to Hierarchical Condition Category (HCC) Coding, medical coding, clinical terminology and anatomy/physiology, Centers for Medicare and Medicaid Services (CMS) coding guidelines, and Risk Adjustment Data Validation (RADV) Audits.
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big data science jobs in Indianapolis, Maumelle, Arkansas
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