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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Detailed understanding of statistical theory, predictive modeling, data mining and other advanced analytical techniques. Experience coding in Python, R or SQL.Knowledge of visualization tools such as PowerBI.Experience developing models in cloud-based tools in Azure such as Databricks, Snowflake, Github.
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Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python/Java, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Experience with UNIX/Linux, including basic commands and shell scripting Experience with Agile engineering practices Technical expertise regarding data models, database design development, data mining and segmentation techniques.
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Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL. Collecting/cleaning/analyzing substantial marketing & web data using Google Analytics & BigQuery (or SQL.
$75,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical and programming skills (Big data frameworks such as Hadoop MapReduce, Java, others), and statistical modeling (such as R/Python/Enterprise Miner). 5+ year of experience with a general-purpose programming language such as Python/R (applied to big data frameworks such as Hadoop MapReduce, Spark, others.
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. 2+ years of experience with a programming language such as Python, R, SQL, etc. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python). Expertise with SQL query, schema and ETL design, and data pipeline development/maintenance (e.g. Airflow.
$132,300 - $198,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities:Lead automation of risk reporting in the enterprise analytics platform utilizing Hive, Python and RManage relationships with data providers to understand underlying data and gain awareness of changes to comeCreate presentations that will clearly state objectives, approaches and benefits of case studies and the ability to articulate results to stakeholders and senior management.
$129,840 - $194,760Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience with object-oriented programing (OOP)/Scripting languages such as R, Python, Bash, and/or Matlab Technical expertise with data models, data mining, and segmentation techniques.
$132,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our clients include a cross section of the broader Metals, Minerals and Mining sector from mining companies, traders, vendors, consultants, regulators/governments, and all those that operate within the financial and commodities markets such as Investment Banks, Investment Managers, Hedge Funds, Brokers, etc.
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Strong background in statistical analysis, machine learning, and data mining techniques. Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.
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Position:- Data Analyst - strong expertise in Python and SQL. Extract actionable insights by mining and transforming data from various sources. Utilize data visualization tools, specifically Power BI, to create intuitive and interactive dashboards.
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Use advance analytics, data mining and BI tools to set the best business logic for our VIP and game teams on various activities and strategies directed to retain and increase our VIP customers activity.
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python data mining jobs in New York, NY
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