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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Experience in Data science, machine learning, or optimization models. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Bachelor’s or master’s degree in Computer Science , Information Systems, Engineering, Machine Learning, or related fields. Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc.
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Additionally, the Data Engineer will support the seamless integration of data analytics and machine learning models into the firm's systems. Supports the integration of data analytics and machine learning models into the firm's systems, enabling advanced data analysis and insights.
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Candidates for this position require an Associate's degree in an accredited Biomedical Applied Science or Electronic Engineering Technology program or related field or an equivalent combination of education, manufacturer certification/s, and experience required.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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After training, you'll be able to work with children of varying levels of need, implement Applied Behavior Analysis (ABA) therapy programs following each client's individualized treatment plan, receive and incorporate feedback from your client's Board Certified Behavior Analyst (BCBA) in future sessions, maintain client safety and confidentiality, and accurately document client sessions by collecting data, writing session notes, and completing service logs (timesheets.
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Stay updated with the latest trends and advancements in data science, machine learning, and AI. Communication & Collaboration: Present findings and insights to non-technical stakeholders in a clear and compelling manner.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Bachelor's degree in computer science , Engineering, Information Systems, or related field/work experience.
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Bucknell University invites nominations and applications for the inaugural position of Director of the Dominguez Center for Data Science. The Director will elevate cross-college programming and research, expand existing expertise in data visualization for multidisciplinary initiatives, create pathways for community engagement, and develop a summer bridge program surrounding data science challenges to attract students from under-resourced schools.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Our company values guide us as we work towards our mission: Embracing Diversity, Open Communication, Teamwork and Community, Data-Informed Learning, and Follow-Through. An eagerness to adopt our values: Embracing Diversity, Teamwork & Community, Data-Informed Learning, Open Communication, and Follow-Through.
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data science applied mathematics machine learning jobs Company: Jobot in Philadelphia, PA
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