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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Experience working with big data platforms such as Hadoop, statistical programming languages, like R or Python or SAS, database querying language like SQL, HIVE to increase efficiency by improving accuracy and reducing turnaround time.
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We are looking for candidates with expertise in Python, Pyspark, Pytorch, Langchain, GCP, Web development, Docker, Kubeflow etc. Programming experience in Python, Pyspark, Pytorch, Langchain, Docker, Kubeflow.
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools.
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Familiarity with multiple data visualization tools (i.e. Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI etc.) Knowledge of variable and feature impact on model performance and understanding of servers and formats for model storageUse of coding languages like SQL, Python, R and others to run data analyses and develop models.
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Lead the day-to-day data and reporting needs for the customer and bottler teams leveraging tools inclusive of Alteryx, Databricks, Azure, and Tableau. Skills: Data Science; Sales Operations; Managing Sales Teams; Actionable Insights; Strategic; Category Management; People Leadership; Sales Analysis; Analytical Thinking; Big Data; Data Driven.
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Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark) Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
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Scripting experience (Shell, Ansible and Python) A large global retailer in the Northwest Arkansas area is looking for a Linux Engineer to join their Store Linux team in the Infrastructure Services organization.
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C#, java, matlab, perl, php, programming, python, software engineer. c#, java, matlab, perl, php, programming, python, software engineer. QualificationsBachelor's degree in Computer Science, Electrical Engineering, or related field.
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Machine learning, Rest API, Spark, python. Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, XGboost, deep learning, and anomaly detection.
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Core Skillset Python Web Services/ API testing Building test frameworks UST Global offers a diversified and attractive international environment. POS Automation Engineer for Client is a leading provider of platforms, digital innovation, artificial Intelligence and end-to-end IT & Business services and solutions for Global 1000 companies.
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Work independently and collaboratively with Excel, Power BI, SQL, Python, and Tableau. Cloud-based data experience, especially with Databricks, is preferred but not required. Textbook knowledge or exposure to relational database experience in multiple environments (Oracle, DB2, SQL Server, OLAP, etc.
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Experience coding in STATA, R, or Python. As a Research Intern, the incumbent's primary responsibility will be to advance Heartland Forward's research program across a range of high-profile and time-critical projects through data collection, analysis, and visualization.
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Use of coding languages like SQL, Python, R and others to run data analyses and develop models. A Master’s degree or Ph. D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.
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