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Experience with deep learning, data science, and NVIDIA GPUs. Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks.
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EDUCATION AND EXPERIENCE YOU’LL BRING Required:Bachelor's Degree in Data Science, Computer Science, Statistics with minimums of8 years of data engineering with a strong focus on data architecture and data ingestion, or a Master’s Degree in Data Science, Computer Science, Statistics, and6 years of relevant experience.
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At least 5 years of experience in securitized cash flow modeling or model development with a data science background using consumer, commercial borrower, or customer behavior. At least 5 years of experience in financial services, sell-side banking, buy-side investing, corporate financial planning, corporate consulting or data analytics.
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In order to be successful and achieve the above responsibilities, the Data Architect must possess the following qualifications: Education Required: A bachelor’s degree from an accredited college or university in computer science, data science, engineering, or related field, required.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. 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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Directing company or firm-wide functions in areas such as planning, executing, and reporting financial, operational, and compliance audits/projects; expertise includes Corporate Governance, Sarbanes Oxley Act regulations, GAAP, fraud risk management, IT controls (including Data Privacy and security), anti-corruption measures, and auditor Independence.
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Experience serving in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Sogeti is looking for a talented, local MS Fabric (MSFT)-Databricks Data Engineer to join our Chicagoland team built on the success of our people and partnerships.
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Bachelor’s degree in data science, statistics, computer science, education, public policy, or a related field. Experience with data governance, data privacy, and compliance regulations in the education sector.
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The Data Engineer is responsible for creating, maintaining, and supporting synchronization of data both across core business applications and between those applications and data warehouses.
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For instance, early morning/late evening hours to coordinate with teams in India Qualifications Bachelor's or Master's degree in Computer Science or related engineering field and deep experience with AWS infrastructure Strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena.
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1 – 3 years of professional experience in Communications, Public Relations, Journalism, Political Science, Hospitality, Marketing or any other related field. Bachelor’s degree in Communications, Public Relations, Journalism, Political Science, Marketing or any other related field.
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Job descriptionExciting Opportunity: Entry-Level Staff Attorney – Tech Transactions & Data Privacy Incident Response TeamOur client, a prestigious law firm with a robust national presence, is seeking an entry-level Staff Attorney to join their dynamic Tech Transactions & Data Privacy Incident Response team.
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Support Data Modeling:Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements. Tools and Skillsets: Data engineering: proven track record of developing and maintaining data pipelines and data integration projects Databases: Strong experience with Oracle, Snowflake, and Databricks.
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data science privacy jobs Title: analytics engineer in Chicago, IL
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