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John Hancock, committed to data-driven solutions, is seeking data scientists or computer visions engineers who can design and implement image processing solutions to enhance operational workflows and fraud detection.
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JOB DESCRIPTION Our Opportunity:Chewy is hiring a Software Development Manager for our Supply Chain and Data Science Platform Team in Boston, MA or Plantation, FL. This position will have exposure across the entire supply chain enterprise, influencing the vision and implementation of architecture, design, and features that directly impact the company's bottom line.
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Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Deep knowledge of Python, SQL, database design, and master data strategies.
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Structure and execute analytics plans (e.g., inferential statistics, longitudinal studies, and structured decision support)Scope, sell, and deliver commercial data projects, which can include but are not limited to market sizing/ segmentation, provider profiling/targeting, provider affiliation mapping, epidemiology studies, managed care analytics, pull-through modeling / program design, forecasting, field force design, and incentive comp.
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Today, just under 4000 undergraduates pursue associate and bachelor’s degrees in 23 STEM, design, and management disciplines across five schools, including Architecture & Design, Computing & Data Science, Engineering, Management, and Sciences & Humanities.
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
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The Product Data Scientist (Sr. Lead, Customer Success) will leverage their Business Acumen, Data Science and engineering skills to build Advanced analytics processes, build operational process pipelines and finds and presents data-driven insights that help our clients solve their most important business problems and bring optimizations to life.
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MBA or an MS degree in a quantitative / technical field such as Engineering, Economics, Statistics a plus. Driving a culture of experimentation (including hypothesis generation, testing strategy/design, and test implementation) to personalize and optimize the client experience.
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Leading fraud platform strategy, design and architecture for enterprise clients (e.g., gateways, orchestration tools, data services, caching logic, transactional databases, data lakehouse, fraud decisioning engines e.g., FeatureSpace, Feedzai, Actimize, Verafin.
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POSITION PURPOSE: As an experienced Engineer and a senior member in our team, you’ll be immersed in all the elements of Software Development Lifecycles - design, development, integration, operation, support and testing.
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Our services include digital strategy consulting, product development, brand and experience design, digital marketing, and data and AI services. Proven knowledge in AI, Machine Learning, Machine Learning Ops, Data Engineering, and/or Data Science.
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Lead the engineering team to integrate cloud computing, big data, AI and blockchain technologies, plan, design and implement electronic medical record system and medical big data platform, realize the collection, storage, governance, big model, AI analysis, knowledge mining, visualization and application integration of multimodal medical data of the whole treatment cycle of patients, lead the business modeling and system analysis of the system, and participate in the system architecture design.
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Experience with data engineering and systems architecture including GCP, BigQuery, ETL/ELT, and SQL. Oversee the design, development, and maintenance of the data environment including integration of disparate data sources (e.g., digital media platforms, web analytics, CRM, ecommerce, etc.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Helps grow and mentors team members on the fine art of data engineering and software abstractions.
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Join Takeda as a Principal Data Scientist where you will be responsible for the design, development, and execution of Takeda’s global RWD ecosystem, understanding and communicating Takeda’s Real World Data (RWD) priorities and needs, discovering opportunities for RWD innovation, and ensuring strong compliance systems.
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design engineering jobs Title: data in Boston, MA, Us
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