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The Asset Management Quant Research Engineering team is looking for a Senior Data Engineer who wishes to take on the challenge of building a world-class data operation. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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Working with deployment and data pipeline technologies such as Airflow, dbt, etc. Additional Cloud Data warehousing experience with Snowflake, Azure Data, Redshift and other. Leads a team of Sourced consulting experts, develops and implements enterprise data strategy and execution plans for strategic customer engagements with both global and regional impact, aligned to business goals.
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Master of Science or PhD, engineering or computer science or equivalent, preferred. We've built a team of creators, innovators, entrepreneurs, and leaders to unlock endless possibility for our customers and partners with the power of OCI. We are now seeking an excellent Senior Regional Manager (SRM) to lead a field sales team in our machine learning vertical.
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The Senior Analytics Engineer position will report to the Engineering Manager - Data Platform and Analytics. Collaborating closely with analytics, data science, and cross-functional teams to unlock the full potential of our data in experiments and ML models.
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Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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For consideration, applicants must have either a Bachelor's Degree in Medical Technology/MLS and/or an AS Degree in Medical Laboratory Science/Medical Laboratory Technician AND ASCP Certification as a MT/MLS or MLT. This position is Monday through Friday DAY Shift (7am to 3:30pm.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Bachelor's degree in environmental science, environmental engineering, water resources management, geography, ecology, or a related discipline. This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Bachelor's Degree in Computer Science, Environmental Science, Environmental Engineering, Civil Engineering or Chemical Engineering or related degree with an environmental or safety focus.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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This Technical Architect will be working collaboratively in a cross-functional team including skill sets in public policy, product management, user-experience design, and data science. Experience with data processes in a Python and Linux ecosystem, including ingest, transformation, and analytics.
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Serve as a researcher, interviewer, design thinking facilitator, and data analyst for the application of behavioral science to Travelers Claim strategies and projects. Masters, certification, or applied experience in Data Science.
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Associate degree in nursing, public health, epidemiology, clinical laboratory science, medical technology or related field. Associate degree in nursing, public health, epidemiology, clinical laboratory science, medical technology or related field.
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Bachelor’s or master’s degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field and 3+ years of work experience in building machine learning models or PhD in a related quantitative field.
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Medical Affairs colleagues form GBUs, e.g., Medical Manager, Medical Science Liaison (MSL): Field insights, site specific collaboration as indicated by CSU, KOL management. Planning Study start-up, anticipate implementation of protocol amendments, resulting in shifts in study timelines, recruitment and retention challenges, data management and vendor related issues.
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data science jobs Title: senior manager Company: Takeda Pharmaceutical in Providence, RI
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