Data Scientist

05 Nov 2024

Vacancy expired!

Job title:

Data Scientist

Location: Chicago later

CompanyClient is a leading provider of platforms, digital innovation, artificial intelligence and end-to-end IT & Business services and solutions for Global 1000 companies. We are transforming corporations through deep domain expertise, knowledge-based ML platforms, as well as profound anthropological efforts to understand the end customer and design products and interactions that create delight. We are deeply committed to developing a comprehensive understanding of our client's problems and developing platforms to address them.

Description:The client is looking for talented Data Scientists who have experience building data-based solutions powered by the advancement of Machine Learning algorithms and Deep Learning networks. As a Data Scientist (Stars Business Intelligence, Medicare) you will play a critical role in developing analytical capabilities to improve and optimize member experience.

Responsibilities:As a Data Scientist you:
  • Should have the ability to communicate data insights to all organizational levels, concluding, defining recommended actions, and reporting results across stakeholders.
  • Should work on integrating data from different data sources.
  • Should be working on pre-processing large datasets to build machine learning models, automating, deploying, and maintaining them into production.
  • Should be able to understand how the deployed models run correctly.
  • Should develop, test, and deploy data structures using Entity-Relationship Diagramming, and data modeling tools.

Requirements:
  • 1+ years of hands-on experience on Flask and Rest-API, model deployment.
  • 3+ years of hands-on experience with Python, MySQL, and SAS (SAS Enterprise), R, Tableau, SPSS, STATA.
  • 5+ years of experience in data science specialization, including statistical data analysis and/or machine learning in an enterprise-scale environment.
  • Deep understanding of common database technologies, such as SQL Database/Server, SQL Data Warehouse, Oracle, DB2, Netezza, MySQL, and other data sources, such as Azure Data Lake Storage and Azure Blob Storage.
  • Experience working with distributed computing tools (Hadoop, Hive, Spark, etc.)
  • Expert in Docker, CI/CD deployment, writing YMAL files to implement code and functions as service.
  • Experience with Cloud Platforms using Google Cloud Platform/Azure/AWS.
  • Hands-on experience with real-time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, Amazon S3, Apache Kafka, Data-Lakes, etc.
  • Experience with Tableau is a plus.
  • Experience with large scale data mining tools such as Spark
  • Advanced understanding of best practices for structuring and organizing Data Lake file systems for large volumes of data.
  • Experience with ML models automation and deployment to production.
  • Experience performing advanced data pipelines, data structure and modeling, data processing, data extraction, joining, manipulation cleaning, analysis, and presentation for medium to large datasets.
  • Experience developing models for forecasting, classification, clustering, regression analysis, recommendations, variable selections, and natural language processing.
  • Experience with scientific computing and analysis packages such as NumPy, Pandas, Scikit-Learn, SciPy, and ggplot2.
  • Experience with Deep Learning frameworks like PyTorch, TensorFlow, and Keras.
  • Experience with automated feature engineering/feature extraction and reduction.
  • Experience with data visualization libraries such as Matplotlib, Seaborn Pyplot, ggplot2.
  • Strong grasp of experimental design, A/B testing, and advanced statistical analysis
  • Experience with Git, GitHub, and Linux administration.
  • Experience leading end-to-end data science project implementation including training, testing, and deploying machine learning models in production environments.

  • ID: #22217523
  • State: Illinois Chicago 60290 Chicago USA
  • City: Chicago
  • Salary: Depends on Experience
  • Job type: Contract
  • Showed: 2021-11-05
  • Deadline: 2022-01-01
  • Category: Et cetera