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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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The Far Horizons program is currently doing fieldwork using two main instrument sets designed and built at the Adler: the GONet camera system, which collects all-sky nighttime environment data in the field, and the NITELite system, which is a high-altitude balloon-borne camera system that collects regional scale night-time images from the stratosphere.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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Sensor Integration: Work with Inertial Measurement Units (IMUs), accelerometers, gyroscopes, and depth cameras to capture accurate biomechanics data. Biomechanics Software: Familiarity with BoB Biomechanics, working with IMU data, and depth camera tracking.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Embedded within Tempus as on onsite researcher, the postdoctoral fellow will have direct access to over 150k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists.
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data job Company: Alston Bird in Chicago, IL
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