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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Programming: Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization: Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$156,000 - $312,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
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And languages such as Python, R, Scala, Java, SQL and SAS. Experience handling a platform running on Spark, Databricks, MlFlow, MLlib, Tensorflow and microservice architecture. The VP, Analytics Engineering will be the key contributor to the execution of strategy for the Data Analytics Engineering team and will build the roadmap for the architecture, systems and tools required to have a best-in-class data ecosystem.
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Python, R, Spark, Scala, Unix) Demonstrated knowledge of computer vision programming libraries (e.g., OpenCV, TensorFlow, PyTorch) or proficiency in one or more programming languages used in data science (e.g., C.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Principal Data Scientist.
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Proficient in programming languages such as Python, R, SQL, Java, or Scala and in debugging and diagnosing. Expertise with data visualization tools such as Spotfire, Tableau, RShinyApp or Python Dash.
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Python or R programming skills - good to have but not mandatory. Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Primary Skill : Scala and Spark (no need of python.
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Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Deep expertise in writing and debugging complex SQL code and Python code. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
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