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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. Bonus having relevant hands-on experience in marketing-related projects, mainly in the domains of customer journey modeling, predictive lead/contact scoring, attribution, next-likely purchase/tactic modeling, cross-sell/upsell propensity modeling, churn and retention analysis, text analytics, among others.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You will have deeper understanding of Data Engineering approaches along with hands on experience in building highly scalable solutions. Strong hands-on experience with Hadoop, Hive, Apache Spark.
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The ideal candidate will be hands-on technical Senior UI Engineer responsible for creating a technical vision across multiple Enterprise Item initiatives The ideal candidate in this role must have knowledge about Merchandising business domain knowledge, in-depth in Front end Technologies and Cloud Enablement solutions.
$131,600 - $171,080 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. The Senior Cloud Engineer is responsible for designing, deploying, and administering cloud-based solutions in Azure.
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Experience in retail media, marketing data privacy, MMM, ML/AI, LLMs, and DCR technologies. With a fixation on innovation and building culture, our team is rallying our company around a unique vision: forging a retail winner that is admired for national strength, deep roots in the communities we serve, and a team that has passion for food and delivering great service.
$102,700 - $143,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Should be good with Java backend and have hands on frontend knowledge. Required Qualifications: Java, J2EEE, Spring boot, Angular, React , Node js , AWS Cloud services, redshift, RDS, etc.
$137,600ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving. Strong theoretical foundations and knowledge with state-of-the-art works in deep learning algorithms on object detection, tracking, segmentation etc.
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Employ specified analytical tools to access data to provide reportable information on all identified Key Metrics for the delivery of optimized services to customers. Experience and understanding of Sales cloud, Salesforce Field Service, Pardot, Salesforce Maps and CPQ.
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But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback. Salary: Data Entry Work from Home - Part Time Computer Job.
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Ph. D. in organic chemistry or related discipline, with 5+ years (for Sr. Scientist), 10+ years (for Staff Scientist) of hands-on experience with antibody bioconjugation chemistry (preferably in industry experience.
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Experience With Databricks, Snowflake, AWS, And Other Cloud Systems. Proficient in data visualization tools such as Power BI. Data mining in PLM/SAP. Develop and maintain data documentation, including data dictionaries and data lineage.
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Bachelor's Degree in Electrical Engineering, 5+ years of experience as a hands-on Controls Engineer or Robotics Engineer working on automation and/or electromechanical systems, or equivalent.
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Hands on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources.
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Minimum 5 years hands-on experience with Scanning Electron Microscopy, Energy Dispersive Spectroscopy. The activities of the group include elemental, morphological and structural analysis of materials on a production basis, maintenance of several scanning electron microscopes and ancillary equipment, development of new or improved analysis techniques, and quality assurance of analytical data.
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Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP/AWS Big data services, Databricks, and other tools & technologies.
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