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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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The Company has Bitcoin mining data center operations in central Texas and electrical switchgear engineering and fabrication operations in Denver, Colorado. Riot is actively expanding and improving its Bitcoin mining operations through innovation, expansion, and procurement, including large-scale expansion of its Texas-based mining and hosting facilities.
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Today, we are a market leader connecting nearly 2 gigawatts of renewable energy assets with bitcoin mining data centers under novel contract structures while building a suite of tools to enable energy companies to transact in bitcoin.
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As a CBRE Strategic Occupancy Planner, you will provide space planning, data mining/analysis, reporting, and interpretation of space planning metrics in an effort to provide recommendations and proposed solutions for a client's occupancy needs.
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As a data scientist, you will be responsible for working with a cross functional team of data scientists, developers and data engineers seeking to solve GM's most pressing challenges using AI, Machine Learning, and other Advanced Analytics methodologies.
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products.
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Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML). Key skill set: Azure data services, Databricks, Python, SQL, PySpark, GitHub.
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Hands-on experience with data engineering and/or machine learning on Azure cloud. You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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Technical understanding of OT infrastructure including SCADA devices and OsiSoft/AVEVA PI historian systems. Knowledge of Renewable Energy (Solar, Wind, Geothermal etc.) We also have a number of contract roles in the ETRM and Energy space coming up this Summer so if you have experience of wider ETRMs then please do also get in touch with Lydia Brand at X4 Technology.
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Collaborate with machine learning engineers and researchers to understand their data requirements and provide tailored solutions for LLM fine-tuning. Are well-versed in various data storage technologies, including distributed file systems (e.g., HDFS, S3), databases (e.g., Cassandra, HBase), and data warehouses (e.g., Redshift, BigQuery.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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machine data mining jobs Company: Pepsico in Texas, TX
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