... Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented analytical artifacts and reproducible analysis workflows. Collaborate with ML engineers and researchers to ...
... and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, 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 ...
... Validating claims made within content through comprehensive online research to ensure data accuracy and integrity. Collaborating with team members to refine research methodologies and improve model training processes. Joining Quik Hire Staffing as a Research Analyst offers numerous benefits, including: The flexibility of ...
... You’ll Do - Develop complex, authentic research evaluation tasks within the life sciences, including experimental design critique, protocol analysis, and primary data interpretation. - Source and synthesize research materials such as raw experimental data, laboratory protocols, technical literature, and supplementary documents. ...
... branches Update hours of operation across local campaigns Refresh seasonal messaging (quarterly service pushes, peak season adjustments) Conversion Tracking & Data QA (30-45 minutes/week) Upload offline conversions (phone call outcomes, completed jobs) Flag any discrepancies between Google Ads and CRM data Prepare weekly ...
... evaluation Requirements - Bachelor's degree or equivalent professional experience in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research or a related quantitative field - At least 2 years of professional, academic or research experience involving statistical models, data visualization or analytical ...
... evaluation Requirements - Bachelor's degree or equivalent professional experience in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research or a related quantitative field - At least 2 years of professional, academic or research experience involving statistical models, data visualization or analytical ...
... Experience/Education Requires a Bachelor's degree in computer science or other related field plus 10+ years of hands-on experience in configuring and managing AWS/tableau and databricks solutions Experience with Databricks and tableau environment is desired research of various sources such as databricks/AWS/tableau documentation that may ...
... Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. As a Data Scientist at Avahi, you'll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal ...
... You’ll Do - Develop complex, authentic research evaluation tasks within the life sciences, including experimental design critique, protocol analysis, and primary data interpretation. - Source and synthesize research materials such as raw experimental data, laboratory protocols, technical literature, and supplementary documents. ...
... You’ll Do - Develop complex, authentic research evaluation tasks within the life sciences, including experimental design critique, protocol analysis, and primary data interpretation. - Source and synthesize research materials such as raw experimental data, laboratory protocols, technical literature, and supplementary documents. ...
Detail-oriented Clinical Research Coordinator (CRC) with 3+ years of experience supporting Phase I-IV clinical trials across Oncology, Cardiovascular, Infectious Disease, and Pharmaceutical therapeutic areas. Proficient in ICH-GCP E6(R2/R3) guidelines, IRB submissions, eConsent, and regulatory document management. Skilled ...
... Prosecutorial experience without public-defense experience - Law school experience without hands-on public-defense practice - Legal-content annotation or similar legal data work - Legal practice without experience providing public defense Prior experience with similar research projects is welcome but not required. How to Participate ...
... 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 ...
... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... 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 ...
... ~ 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 ...
... processes. - Experience translating business requirements into features, user stories, data requirements, 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 ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...