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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics.
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The Data Scientist will contribute to the implementation of a cohesive, powerful, and actionable long-term Data Science strategy involving the analysis of large complex nephrology and urology data sets to discover hidden patterns, trends, and associations in support of research, operational, and clinical objectives.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Collaborate closely with data science, machine learning, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation. Experience collaborating directly with data science, machine learning, and product engineering teams.
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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As a Walmart Data Engineer in Marketplace, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. 6+ years of experience in a People Analytics/Data Science role.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
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About Us :At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. Our Brand :J.Jill is a premier omnichannel retailer and nationally recognized women’s apparel brand committed to delighting customers with great wear-now product.
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big data science brand marketing jobs Title: data scientist
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