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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.
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Strong experience with data processing tools and programming languages such as Python, R, SQL, and Hadoop. Proficiency in statistical analysis, data mining, and predictive modeling techniques.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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Tool Expertise -Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. The Company specializes in digital enablement and transformation using industry-leading process mining, data management and automation platforms.
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Key Responsibilities:Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse big data sourcesPerforms complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.
$144,000 - $198,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize data science tools and statistical programming languages (such as R, SQL, and Python) Candidate must possess a bachelor's degree in Mathematics, statistics, computer science, data science or field directly related to this position and 5+ years of overall experience in the field of data science; 3+ of those years should be with hands-on experience in data exploration, data cleaning, data analysis, data visualization and data mining.
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You make effective use of big data technologies such as Spark and AWS, are able to write efficient SQL, and are trained in one or more of the following programming languages: R, Python, Java, or Scala.
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Data Mining experience in Python, H2O, Tensorflow and/or other Big Data environments such as Hadoop/Spark. Proficient code writing capability in a major programming language such as Python, R, Java and C.
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Expertise in analytics tools including R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus) SMX is seeking a Sr. Data Scientist to provide analysis of unstructured and structure data sets using data mining, statistical analysis, explanatory and predictive modeling, and other techniques.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
$90,107.16 - $94,637.4 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Solid handle around various programming tools and open source applications that enhance data and analytic integration to accomplish data wrangling/cleansing and advanced statistical analysis (e.g. R, Python, Airflow, SAS, SQL, Tableau, GCP.
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Proficiency in statistical analysis, machine learning, and programming (e.g., Python, R) Data Warehouse / Data mining experience. Knowledge in Big data, No SQL databases and Data Science concepts.
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At least 5 years of experience in Data Science using R/Python etc. Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems.
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big data mining r python jobs Title: data scientist in Phenix-city, Alabama
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