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Understanding of materials for energy storage; experience with building and testing lithium ion batteries is strongly preferredProficiency in data analysis and interpretation using software such as JMP, Python, or equivalent.
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At present, clients range from ‘deep tech’ – data analytics, AI/ML, storage, cloud infrastructure, cybersecurity – to fintech, health tech and climate tech. Reporting chops using combination of Google Analytics (GA4), Excel, SEMrush, Hubspot, Google Data Studio, Pardot (Salesforce), Marketo, Tag Manager, (roughly in this order of importance.
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Responsibilities:Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Analyze sales data and market trends to make informed decisions and recommendations on targeted areas of business growth such as in cell therapy, gene therapy, vaccine manufacturing, or bioprocessing.
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Our consultants work closely with our clients’ Compliance and Legal leadership teams, leading cross-functional initiatives around Compliance (e.g., AML, KYC, Sanctions), Data Privacy (e.g., GDPR, CCPA, LGPD), Legal Operations and Process and high-stakes projects.
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Experience with cloud computing platforms, especially AWS, AWS services, and data warehouse solutions like Snowflake or Redshift. Ability to identify patterns, develop general-purpose frameworks, and address scalability requirements for data pipelines and database/data warehouse solutions.
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Strong hands on experience on SAP BODS and SQL on real time project experience for S4 HANA Data integration/ Data Migration. Data migration experience with SAP ISU and C4C. Should have experience to load data using IDOC, BAPI, LSMW, LTMC.
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Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done. A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
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Experience in chemometrics and spectroscopic data analysis. Experience in use of complex spectroscopic data collection, analysis, and visualization. Carry out complex work plans for multiple tasks, lead data collection and analysis efforts, use findings to improve system performance, and suggest follow-on work.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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We have the only complete audio ad technology stack in the industry for all forms of audio, from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale.
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Work closely with analytics engineer and data warehouse engineers to build analytics tools and dashboards that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
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Collect and maintain the metadata of all data in a centralized repository and associate the data security attributes with the metadata, like the data classification, data ownership, data access, and data lineage etc., to provide a deep understanding of the risk of the data.
$150,800 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago
data warehouse jobs Company: Jobot in Brisbane, CA
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