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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Principal Associate, Cyber Security Data Scientist.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Hands-on experience in LLM training, fine tuning, and/or deployment a big plus. and CUDA a big plus. Solid skills of algorithms, data structure, system architecture, and software engineering.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
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Job Summary: As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
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The successful candidate will join the Model Risk Management and Validation Group (MRM&V).
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This role provides strategic recommendations and implementation of incentive compensation programs for client facing employees, including data-driven research, cost modeling and trend analysis.
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It's a big role, so here's a little on what you don't need to be an expert on: Payroll Employee relations Employment law Compensation / Equity philosophies Employee engagement strategies Onboarding/Offboarding Organizational design Performance management What we're looking for: 7+ years of recruiting experience preferably with several years of technical recruiting experience; some of the 7 years must be in-house recruiting.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask. Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications.
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Deep knowledge in sales incentive compensation concepts and plan structures, sales data tracking systems, processes and methodologies. Demonstrates knowledge surrounding Incentive Compensation Management (ICM) systems and willingness to roll up sleeves for User Acceptance Testing (UAT) of system changes.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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big data incentive compensation jobs Title: data scientist in Boston, Phenix-city, Alabama
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