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Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Bachelor’s degree in Quantitative Finance, Economics, Mathematics, Engineering, Data Science, Statistics or related field. Exposure to at least one high-level programing language (R, Python, etc.
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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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Strong knowledge of computer science fundamentals and data structures. Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT.
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Demonstrated experience in data extraction/shaping (e.g., SQL), statistical analysis (e.g. R, Python), and data visualization tools (e.g. Power BI, Tableau) Solid communication skills: able to convey complex data insights to non-technical stakeholders.
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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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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Proficient skills in SQL/Python/R/etc., SQL data bases like PostgreSQL and Snowflake, and BI Tools like Looker and Tableau. Wrangle data from multiple sources to create integrated and actionable data insights through data extraction and/or transformation processes via any data handling means relevant (SQL, Python, LookML, etc.
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Design and implement data science projects, including predictive modeling, machine learning, and statistical analysis, to optimize operations and support strategies. Mediavine is seeking a dynamic and experienced Data Science & Analytics Manager to join our growing team.
$170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven use with zero trust network access, encryption, web application firewalls, data protection, vulnerability management, API security, IaC. Proficient in one or more: Terraform, Kafka, Kubernetes, scripting (Python, JavaScript, Bash.
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At least 7+ years of experience in database administration, business intelligence, and data science, Google BigQuery, BI tools, ETL tools, and database schemas. Design and maintain robust database solutions for PostgreSQL and Google BigQuery environments, ensuring data availability and system resilience.
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Development of a Software R&D organization which shapes and drives Dematic's overarching software strategies, providing a focal point for software knowledge management. Lead the global technology and solutions organization, which includes Software R&D, Systems R&D, Product Information & Training, Standard Solutions, Robotics COE, and dotted line CTO Prod Dev SCS.
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Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent. Experience leading Big Data engineering teams working in environments such as Hadoop and Spark. Confirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.
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Ph. D. in Psychology, Computational Social Science, Economics, Data Science or a related field by the start date. The School categorizes this research into five program areas: Cognition and Brain Science, Cognitive Aging, Engineering Psychology, Industrial/Organizational psychology, and Quantitative Psychology.
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data science r python jobs Company: Clevelcrossing in Atlanta, WI, United Kingdom
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