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Our data science platform serves as a basis for advanced analytics including, but not limited to audience predictive models, real time data analysis, media mix models, campaign optimization, data assessments for 1st, 2nd and 3rd party data, and audience development (sizing, planning, profiling.
$85,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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Within the division, the Bureau of Environmental Sciences and Engineering (ESE) focuses on identifying and minimizing the risks of environmental and engineered hazards through field inspection, surveillance, scientific and engineering analysis, and data collection.
$70,087Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Skills Required: Requires experience in the following: Agile SDLC; Microservices Architecture; Apache Kafka; Java; J2EE; Jenkins; Spring; Spring Boot; Spring AOP; Spring Data JPA; Hibernate; HTML; ReactJs; JavaScript; NodeJs; REST; SOAP; JSON; GIT; JUnit; Mockito; AWS Cloud; Datadog; Python; PySpark; Karate Framework; Docker; and NoSQL Database solutions platform and SQL databases.
$169,229 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Support Associates up to Managers on retrieving, compiling, and formatting of large volumes of data (ETL), Requirements: Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD or equivalent, with a focus on polymer chemistry, organic chemistry, molecular biochemistry, materials science, or a related discipline. This person holds extensive knowledge in biodegradable polymers, organic chemistry, and materials science of common and upcoming polymers for industrial and consumer applications, as well as in biomanufacturing polymers (e.g., cellulose, PHAs) for fiber fabrication with high biodegradability.
$83,000 - $225,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Marketing Science teams manage data processing (primarily in SQL, R scripting, and Excel), data exploration and the statistical analysis of media data. As a Manager on the Marketing Science team, you will be tasked with aiding in the transformation of vast data sets into compelling and actionable insights.
$50,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals Knowledge of prepayment modeling, MBS pricing and risks is a plus Knowledge and experience on data science and Machine Learning technics/languages is desired SEC Covered Clearing Agency Standards Additional Qualifications.
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Skills Required: Requires experience in the following: Linux; Agile SDLC; Data Architecture Disciplines; Microservices; Apache Kafka; Docker; J2EE; Jenkins; Spring; Hibernate; Java; Python; Shell Scripting; SQL; XML; Apache Tomcat; Bootstrap; REST; Maven; JSON; Kubernetes; Apache Zookeeper; AWS Cloud Services; Dynatrace; Cassandra; Hadoop; Hive; Oracle; Teradata; Apache Spark; Splunk; GIT; Junit; Unit Testing; Snowflake; Terraform.
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data science collection jobs Company: Ellis Medicine in New York
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