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Java ci/cd jenkins gitlab sonar docker kubernetes python rest api MQ rpc sql flex murex. Knowledge of the scrum agile framework Experience with JIRA / Confluence Excellent communication skills Experience building scalable computational distributed services Experience with multiplatform enterprise service development and challenges of data serialization Experience with developing service wrappers for Python or C.
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Advanced knowledge of R, SQL, and Python. - Working knowledge of R, SQL, and Python. Working knowledge of data visualization software such as Tableau, Looker, or Domo. Advanced knowledge of data visualization software such as Tableau, Looker, or Domo.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Excellent programming skills in Python and SQL. Proficient in Python coding and frameworks knowledge.
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Experience working with large genetic and population-based data sets, SEER, and proficiency in a statistical programming language, including R/python or SAS. Exciting Opportunity at MSK: The Epidemiology and Biostatistics Services is looking for a Postdoctoral Fellow in Genetic Epidemiology to join the team.
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Skills: UiPath, Microsoft Power automate, Python and some other programming languages (Javascript. Python, VB Script, Ruby, Java, JS,. Experience with one or more RPA technologies (e.g. UiPath, Automation Anywhere, Blue Prism.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Experience with GIS, Python and R. We are at the leading edge of many areas of environmental policy and have a wide Global client base, our clients include household names such as Tesco, IKEA, DHL, Coca Cola and PepsiCo, supranational, national and local government, and the NGO sector.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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