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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Aptitude for mathematics, reading drawings and maps, 3D visualization, and a moderate degree of computer and BIM/CAD software competency. BGE, Inc. is seeking a confident CAD Technician with a Civil engineering background to join a great Land/Site team located in our Frisco and downtown Dallas offices.
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CADD Tools : Proficiency in executing large EPC projects using engineering analysis, 3D modeling, and 2D computer-aided drafting and design (CADD) automation tools in a multi-discipline environment.
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Academic courses, projects, internships and/or work experience that includes some or all of the following: data extraction and cleaning, exploratory analysis, predictive modeling, machine learning, monitoring of algorithms, coding and data visualization.
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Computer science, electronic engineering, java, optical, processor, radar, robotics, schematic. Our team provides a wide range of electrical engineering services across markets sectors including transmission (substations, OH/UG transmission systems, generator interconnections, interconnection strategy), power distribution (OH/UG power systems, substations, EV charging networks, microgrid design, etc.
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High degree of proficiency in Power BI data visualization tool and statistical software (e.g., R, Python). Investigate and understand data sets needed for analysis/data science.
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Candidates will have the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python, AI/Data Science) to provide customized automated solutions across multiple business segments.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Master s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field. Strong Data Engineering skills. This may involve tasks like data normalization, feature engineering, and handling missing values.
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The Director, Data & ML Engineering willl be responsible for both data engineering and MLOps engineering teams to support data science applications. Master’s or Ph. D. in an engineering field such as computer science, electrical/software engineering, information technology, or other relevant engineering field.
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Bachelor's degree (or foreign equivalent) in computer science, information technology, software engineering, or related field; plus 3 years of experience in job offered or SAP ABAP development.
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Bachelor’s Degree in computer science, engineering or related field required. Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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Produces data visualization via Tableau, Spotfire. Leads the classification process (maintaining current master data, Part build process, assigning global HTS, ECCN/USML, Chemical Weapons Convention Global controls, Montreal Protocol, Mercury, Biobar, TSCA, FDA, Drug Precursors, Civil Duty Relief Programs, Drawback.
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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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You must be passionate about data engineering and data quality with a solid background in AWS, Databricks, Python, Trino/Starburst and SQL. Minimum of 3 years of experience in data engineering roles, with a focus on AWS and Databricks.
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data science computer engineering visualization jobs Company: Tesla in Dallas, KS, Arizona
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