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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA) and/or audit-specific certifications (CIA, CISA, CFE) a plus. Develop and maintain collaborative cross-functional relationships across the company, particularly with Data Science, Engineering, IT, Risk Operations and Finance teams.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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The ERSEA/DATA Specialist, in collaboration with Early Education Site Directors and under the guidance of the Head Start/Early Head Start Director is responsible for the development and implementation of all ERSEA requirements as outlined in the Head Start Program Performance Standards.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Hands-on experience with modern data warehouses and lake solutions such as Snowflake, Amazon Redshift, MongoDB, Azure Data Lake Storage, Databricks Delta Lake, or Hadoop ecosystem. The Principal Product Manager for Data & AI Governance will lead the charge for roadmap execution delivering the capabilities Privacy, Security, and Data Governance professionals use to understand, control and protect their sensitive data.
$241,875 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Required 10 Years Expertise in designing, building and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms Required 10 Years Knowledge of technology platforms such as MuleSoft, IBM DataStage Required 10 Years Knowledge of Data visualization tools such as PowerBI, Tableau and Cognos Analytics, Required 10 Years US Citizen Only Required.
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Our Data Science Intern will be responsible for working on data science projects that drive strategic business objectives. 1- 2 years of experience in computer science or data science modeling.
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Description At the Atlanta Police Department Crime Laboratory our mission is to provide exceptional quality forensic science services to our customers by presenting unbiased conclusions to the judicial system using the standards set forth by a nationally recognized accrediting body, the ANSI National Accreditation Board (ANAB.
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data science jobs Title: post doc in Atlanta, SC, Germany
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