... 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 material. What we look for This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors ...
... Process Guides. Financial Loss, Regulatory Impact, Reputational Damage, Audit Findings / Breach. - Ability to implement Proactive controls and Action plans to mitigate Data Quality issues. Key Performance Indicators. Achieve compliance with all group and risk policy and standard guidelines. - Given the criticality of the ...
... https://jobeax.com/link/SFHOY7EhVu5tBl6Q Overview : We are looking for a seasoned Lead Data Scientist with direct, hands-on expertise in Market Mix Modeling (MMM) to lead advanced analytics initiatives. The role requires knowledge of predictive analytics, Bayesian modeling, and the ability to design, implement, and scale MMM solutions that drive marketing ...
... every day. It is one of the world's largest IT infrastructure services providers and supports thousands of customers across more than 60 countries. Job Title: Data Analyst-Data Validation Work Mode: Hybrid Experience: 8+ yrs. Job Type : Contract to hire. Immediate joiners. Strong experience in SQL and Python Ability to engage ...
... Location: Gurgaon Role Overview: We are looking for a Senior Lead Data Scientist to lead Newgen's Agentic and Generative AI initiatives. This role focuses on architecting next-generation AI systems, translating ambiguous business and RFP requirements into scalable technical solutions, and leading high-performing data science ...
... Science, Physics, Mathematics, Data Science, or a comparable quantitative field. Experience: At least 3 years of proven professional experience in cloud-native data engineering, demonstrating the ability to handle complex architectures and enterprise reporting structures independently. Technical SkillsCore Data Engineering: ...
... and decision-making. Ingest and process large volumes of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage MLflow for model tracking, versioning, and deployment. Collaborate with stakeholders ...
... maintainable data pipelines. - Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring ...
... Bayesian model diagnostics using ArviZ including convergence analysis, posterior validation, R-hat, ESS, and divergence analysis - Build reproducible, production-quality Python code following software engineering best practices - Work extensively with large-scale datasets using SQL, Python, and statistical modeling techniques ...
... and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data. - Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL). - ML engineers should have experience ...
... Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow your analytical skills in a collaborative, tech-driven environment. Your Key Responsibilities As a Data Analyst Will Include Updating mutual ...
... Passion for leveraging data to improve customer experiences and optimize digital products. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of ...
Data Research Analyst A US-headquartered product company scaling its India data hub Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India) A fast-growing, US-headquartered product company is building out its India data team and has partnered with Flexiple to hire. You will work directly ...
... (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data and generating analytical outputs as per the requirements. Deliver projects, assignments, and client requests on time and with high accuracy. Data architecture ...
... models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization ...
... Microsoft Azure, Data Analytics, and Power BI (PL-300) Fluent in English. Nice to have : Engineering background Mathematical & Analytics Degree Experience in Data Science Azure ML certification Work experience: Minimum 10 years Data related projects: 5 years minimum Minimum education level: Bachelor's Degree Additional ...
... Ability to do AB testing. Experience with Power BI is a plus—Good to have. Experience with Product Analysis Ability to evaluate requests for reasonableness, data availability, and privacy considerations. Experience working with data reporting tools, databases, and templates is preferred. Familiarity with Microsoft Access ...
... data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis to assess quality and meaning of data Working with programmers, engineers, and management heads to identify ...
... validate feature efficacy.- Translate complex analytical outputs into intuitive visualizations and strategic recommendations for non-technical stakeholders to facilitate data-driven decision-making.- Optimize existing data pipelines and feature engineering processes to enhance model accuracy and reduce latency in real-time applications.- ...
... zones Detail-oriented and accuracy-focused Collaborative and proactive mindset Continuous improvement mindset Problem Solving Mindset Experience 3–8 years in data analytics / BI, preferably manufacturing Education Engineering or Data Analytics / Computer Science Success KPIs Data accuracy and reliability Dashboard adoption ...