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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice.
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Knowledge of data warehouse, data lakes, and cloud architecture (Teradata, GCP, AWS etc.) Demonstrated knowledge or experience with Machine Learning, Data Science, and Data Engineering principles and related technologies such as R, Python, SQL etc.
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Proven experience with data engineering and ETL techniques using data from a wide variety of data sources. The primary focus will be on improving customer interactions, marketing strategies, and operational efficiency through the effective utilization of AI/ML and data-driven insights delivered through Pega decisioning.
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About the Team and Role:eBay’s “Focus Category Data Science & Analytics” team is seeking an experienced Data Scientist to provide analytics and strategic insights as well as thought leadership to help us with the Integration Roadmap on collectibles.
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Title : Sr. Data Scientist Lead - Tableau / Data Analytics / Business Analyst (IT): IV (Lead) We are seeking a passionate, data savvy Data Scientist to join the Analytics team and fuel our mission of growth through data-driven insights and opportunity discovery.
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Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses. This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work.
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Spalding Consulting, Inc. is seeking a Senior Data Scientist in Lexington Park, MD. At least ten (10) years of experience performing duties similar to at least three (3) duties found in the Senior Data Scientist description.
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Database and Query Languages-Hortonworks Hadoop, Hive, and Pig; Solr; SQL Server; Teradata; MongoDB; ETL and data cleanup; MySQL. The Senior Data Scientist will work on-site.
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Hands-on experience using relational database management systems (Teradata) and Cloud computing platforms (AWS, Databricks) Proficiency in Python, R, Spark and SQL for data analysis, modeling, and manipulation.
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Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud). Senior Product Data Scientist for the Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
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Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies. This position for an experienced data scientist who is excited to transform data into actionable insights and impactful solutions which drive business results.
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In this role, you will play a key role in designing, implementing, and optimizing data-driven decision strategies using Pega Decisioning solutions. The marketing technology team is all about using data and automation as the fuel to propel our sales and marketing interactions beyond our competition.
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Understanding of process research and design, which may be demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred. Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value.
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Cloud experience (Clusters, Databricks, iquery, Teradata Native Object Store, AWS S3, GovCloud, Python, Jupiter) Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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Knowledge of data warehouse and data lake technology (Teradata, Hadoop, No SQL, graph DB). This role requires the person to be an experienced analytics leader with deep hands-on experience in statistical analysis, predictive modeling, customer analytics, and data visualization.
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