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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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Familiarity with data visualization tools, such as Tableau or Looker. Provide on-call technical assistance to data engineering teams, responding to inquiries relating to query optimization, reporting anomalies or complex data pipeline issues.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor. Minimum of 1 end-to-end SAP Master Data Governance implementation.
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The Legal Operations Lead Insights Analyst role is a full-time, professional track role whose primary responsibility is to identify, generate and communicate insights for the Legal Department through the blending, transformation, and critical evaluation of data through descriptive, diagnostic and limited predictive methods relying on Chick-fil-A’s established analytics tooling stack.
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Hands-on with ML data platforms (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI) As a Principal, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
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Tractian's Net Revenue Retention (NRR) is as big as Silicon Valley startups, such as Snowflake (158%) and Twilio (155%), which highlights the stickiness of our products. Our Enterprise customers are comprised of Fortune 500 companies, such as Hyundai, Bosch, Kraft-Heinz, John Deere, PepsiCo, and others.
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Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field. Assist with data consolidation and organization to create a searchable innovation knowledge center.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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Big Creek Dam offers beautiful, scenic waterfall views, while East Roswell Park features fishing, hiking and cycling options. Roswell puts on a number of annual productions that are big draws in the region, including a large memorial day ceremony, a storytelling festival, and a fireworks extravaganza.
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Has some experience using the AWS big data technology stack. Lead Data Engineers work in collaboration with other Data stakeholders and contribute to strengthening the links between data quality and data catalogs, data lineage, DataOps pipelines, etc., focusing on increasing the adoption of reliable data products built by the data engineering team.
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Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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Extensive hands-on knowledge of IAM best practices, procedures, and software solutions such as CyberArk, Okta, Ping Identity, and Directory Services. Ability to analyze data and information with a detailed understanding of regulatory requirements, as well as security frameworks and IAM methodologies.
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Recent experience with HHS data to include the Food and Drug Administration (FDA) and the Center for Disease Control and Prevention (CDC) environment and standards. Knowledge of infectious disease or chronic disease epidemiologist and relevant experience conducting public health surveillance, and/or utilizing electronic clinical and lab data to conduct surveillance efforts with public health agencies.
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Hands on experience of working with continuous integration tools such Jenkins, Circle CI. " Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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big data hands jobs Title: marketing in Atlanta, GA
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