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As a cloud engineer for Azure, you will be responsible for designing and implementing scalable, high-performance data engineering solutions using Azure Databricks and Azure Data Factory.
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Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Role: Senior Data Analyst-SQL. Data prep, ability to connect data across different sources to solve a problem. Data warehousing concepts. Ability to reverse engineer from Qlik sense, Alteryx, JCL's, Cobol code etc.
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights.
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BA / BS or advanced degree in Statistics, Mathematics, Data Science, Econometrics or Computer Science, Analytics, Finance, etc. Deliverables include (but are not limited to) sales and business performance reporting, campaign and marketing program analytics, dealer and customer analytics as well as dashboard development or other data visualization to assist with business consumption of insights.
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Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.) Strong data visualization skills using Qlik Sense. Master’s degree in Statistics, Econometrics, Data Science, or related field.
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Ability to understand how to ingest large data sets from a variety of sources (SQL, Python, Java, Alteryx, Qlik Sense, etc.) Ford ICE, Propulsion and Thermal Systems Engineering (IPTSE) Quality Team is looking for a Data Analytics Specialist to support our team by analyzing and interpreting warranty and connected vehicle data indicators to focus the team on emerging issues and key insights.
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The Data Scientist will assist in the development of advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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We are looking for a Lead Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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Intermediate- to advanced-level skills in data mining and statistical analysis. PhD in Data Science. Discover insights from Big Data to meet business needs and goals. Develop data and analytical processes based on Continuous Improvement practices.
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Job Description We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence & Analytics stream at D&T (Design and Tools). Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy.
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2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.) Experience with data engineering and pipeline development.
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Title: data scientist Company: Marketbridge in Ferndale, MI
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