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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experienced technical lead for the data science team, with experience mentoring team members. Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning.
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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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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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Or, alternatively, PhD (or foreign education equivalent) in Data Science, Computer Science, Computational Statistics, Operations Research, Engineering, Information Technology, Information Systems, or a closely related field and no experience.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Committees may include topics such as AI/machine learning, ethics, natural language processing, data definitions, data governance, genomic/pathology/radiology and other specialized clinical data systems, Epic, internal and external data reuse, learning health systems and translational science.
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The Senior Data Science Engineer, Customer Profile will be responsible for owning and developing the in-house customer profile, powering real-time messaging, personalization, and marketing efforts for ViX, the largest Spanish-language streaming platform in the world.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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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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Has expert knowledge of standard data science and statistical techniques Has expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits Experience implementing scalable systems (Google Cloud preferred.
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Alternatively, Bachelor of Science degree in Computer Science/Engineering, Electrical/Electronic/Telecommunications Engineering, Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus five (5) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Define data mapping and lineage to produce accurate reconciliations across multiple sources. The candidate will also be responsible for data mapping and lineage definition in order to produce accurate reconciliations across multiple sources.
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data science jobs Title: management Company: Sap in New York, NY
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