... accurate, governed data that stakeholders and partners can trust.- Own data quality: testing, CI/CD, documentation, and patterns the team follows.- Build and evolve Databricks dashboards and semantic metrics for self-service across the business.- Partner with data engineering, analytics engineering, and analytics stakeholders ...
Analytical Chemist – AI Safety Evaluation Expert $65–$75 per task Remote | Contract About the Opportunity We are seeking experienced analytical chemistry and chemical safety professionals to evaluate advanced AI systems on technically complex, potentially dual-use questions. The goal is to assess whether an AI model can ...
Sales Operations & Business Analytics Specialist Job Type: Full-time Location: Remote — United States Openings: 1 Compensation: $100,000–$140,000/year About the Opportunity We are seeking a Sales Operations & Business Analytics Specialist to strengthen the systems, data, and insights supporting a growing revenue organization. ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... or Azure environments Python & scripting for automation and data processing Data streaming technologies (Kafka, Spark, Flink) Big Data platforms (Snowflake, Databricks, Hadoop, Teradata) Exposure to AI/ML and advanced analytics Experience with NoSQL databases Ability to design scalable and maintainable data architectures. ...
... quantitative field - Experience with technical documentation or analytical publications - Experience designing assessments, benchmark questions or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous ...
... quantitative field - Experience with technical documentation or analytical publications - Experience designing assessments, benchmark questions or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and draw reliable insights. Experience writing clean, ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization layers; experience working with Engineering, Data, Analytics, and Technology teams in Agile ...
... strategy and operational decision-making. Requirements - Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field - 0-2 years of experience in data analysis or a relevant internship/project - Strong analytical and problem-solving skills - Proficiency ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...
... of SQL Experience with Excel / Google Sheets (Advanced) Proficiency in Python or R Experience with Power BI / Tableau / Looker Understanding of statistics and data modeling Basic knowledge of databases and data warehousing Soft Skills: Strong analytical thinking Attention to detail Good communication skills Ability to work ...
... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...
... and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating with product, engineering, and analytics teams to support business reporting ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...