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We are seeking talented AI Applications and Data Science Engineers with expertise in NLP, chatbots, predictive analytics, recommendation systems, data engineering, and automation to join our dynamic team.
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Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, structural equation modeling, factor analysis, data mining, NLP techniques.
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Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, Engineering, or a related field with a focus on data engineering, database management, or information systems.
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7+ years of experience in data analytics, data science, data governance, and/or data engineering. Bachelor's degree in Computer Science, Information Management, Data Science, Business Administration, Business Analytics, or a related field OR equivalent experience.
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Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.
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Partner with our ad sales team, engineering and data science to produce the data requirements and build durable, privacy-compliant identity technologies. Expert understanding of customer identity and customer data in advertising - browser cookies, mobile device identifiers, identity graph, 3rd party identity solutions, privacy compliance, data governance.
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Master's, or Ph. D. degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, Statistics, Physics, Mathematics, or a related field. SequLITE Genomics (a subsidiary of Fapon Biotech) is a growing life science company developing an NGS platform to enable sequencing for everyone.
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Our well-established open platforms, including chemiluminescent analyzers, PCR systems and SBS-based gene sequencers, have revolutionized biomedical studies and applications, delivering real-time, high-quality data from DNA/RNA samples.
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Bachelor's degree in data science , computer engineering, engineering or statistics. + Master or doctoral degree in Data Science, MBA, or PMP certification. + Stay current with latest developments in data science and Gen AI.
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Along with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience or familiarity with data science platforms such as Databricks, H2O, AWS Sagemaker. They can encompass both quantitative and methodical skills or more creative and innovative skills like establishing cause -and-effect in a high-tech business environmentEstablish and operate a Data Science and AI Community of Practice (CoP) for the purposes of sharing standard methodologies and frameworks, discussing emerging trends and technologies, and cross-team sharing of ideas and initiatives.
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Data entry, data review, and expertise with ESRI fieldmaps and sub-meter GPS data collection. Performing and overseeing aquatic resource delineations and assessments in the field using ESRI fieldmaps and sub-meter GPS data collection.
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Google Analytics, Facebook Ads Manager, and LinkedIn Campaign Manager are a plusExperience performing A/B testing strategies and using data, insights, and trends to understand customer behavior with a test-and-adjust mentality.
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In search of a high-performing, resourceful and self-motivated Corporate Social Responsibility Manager with a passion for corporate giving, community impact, and sustainability, and excellent project management and communications skills.
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Experience building data pipelines using Hadoop components Sqoop, Hive, Solr, Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7.
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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. Machine Learning And Data Science Knowledge/Skills.
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