... 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 ...
... Vault, Azure Monitor or Log Analytics. - Experience with infrastructure as code, reusable deployment templates or environment-management automation. - Exposure to data science, advanced analytics, AI or machine-learning delivery. - Experience using AI-assisted development tools such as GitHub Copilot and/or Claude in line with ...
... to accurately manage, update, and maintain business-critical data. The ideal candidate should be comfortable working in US business hours and possess strong data management, communication, and MS Office skills. Key Responsibilities Enter, update, verify, and maintain data in internal systems and databases. Review data ...
... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...
... extraction pipelines. Education & Experience Bachelor's, Master's, or Ph.D. in a highly quantitative field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio ...
... compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus. - Communicating with Internal customers ...
... analyze large volumes of data. · Conduct research to develop and refine data science methodologies and techniques. Stay abreast of the latest advancements in data science and incorporate them into practice Skills and Experience | Essential: Educational Background: Bachelor’s degree in Data Science, Computer Science, Information ...
... technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience in a highly technical analytics or data science environment- Demonstrated experience delivering analytics solutions within a product or platform context, working in cross-functional teams- Experience ...
... of data architecture and integration patterns Ability to independently troubleshoot complex data issues Ownership of deliverables and production issues Good communication and cross-functional collaboration skills Education: Bachelor's/Master's degree in Computer Science, IT, Engineering, or related technical discipline.
... (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements. Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP). Experience with data visualization and reporting tools (e.g., ...
... Perform QC checks and validation of reports and dashboards before client delivery, particularly during migration projects. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, business rules, and ...
... years of experience in data science, including hands-on development of AI/ML or optimization models and at least 2 years working with process event or behavioral data. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field. - Proven track record of building ...
... 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 ...
... project problems Support Agile workflows and stay effective with UNIX command line tasks Requirements Demonstrated experience of 5+ years of professional work in Data Science Strong analytical skills in statistical data analysis, machine learning, and NLP while accounting for real-world limitations Advanced proficiency in Python ...
... problems into data science solutions and communicate results to stakeholders. Master’s/PhD in Remote Sensing, Geoinformatics, Agriculture Engineering, Earth Sciences, Environmental Science, or related field. - 5 years of experience in satellite analytics for agriculture (crop mapping, phenology, yield modeling, or sustainability ...
Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...
... Experience of using at least one data modelling tool, ideally ERStudio or Erwin.- Understanding of fundamental design principles behind a scalable application and data design.- Strong Exposure to IT Project Lifecycle.- Life Science Domain Experience.- Ability to interpret and communicate technical information into business https://jobeax.com/link/JmhrxeNl4Tx5VdIN ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...