... 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 ...
... trade-offs and limitations clearly to technical and non-technical audiences. 3-6 years of relevant experience in data science, data engineering, analytics engineering or a closely related role, including at least 3 years of hands-on experience with Python and Spark/PySpark. - Strong practical knowledge of Python data tooling ...
... equivalent in Information Technology, Data Management, Engineering, Business Administration, Supply Chain, Finance, or related field. Certification in SAP, SAP MDG, Syniti, Data Governance, or equivalent preferred. Experience Must have 12–15+ years of overall experience in Data Management, ERP, SAP, Data Governance, Data Quality, ...
... and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, and compliance standards are maintained across analytical solutions. Support deployment, monitoring, and lifecycle ...
... development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics ...
... stakeholders actually use. - Clear, confident communicator who can explain technical findings to non-technical audiences and defend a recommendation in the room. IITs, IIMs, ISI, BITS Pilani, or equivalent top-tier institutes) in a quantitative discipline - Computer Science, Statistics, Mathematics, Engineering, or Economics.
... business data and identify meaningful insights. - Prepare analytical reports and summaries. - Create and maintain data visualizations and dashboards. - Work with spreadsheets and structured datasets. - Perform basic statistical analysis where required. - Identify trends, relationships, outliers, and data-quality issues. ...
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...
... model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. ...
... of the Data Science/Engineering team at MoEngage, here are some things you can expect: Work with A players (some of the best talents in the country), and expedite your learning curve and career growth Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Spark, LLM and share with the team and more importantly, ...
... detect synthetic fraud, digital identity theft, account takeovers, and transactional fraud. - Feature Engineering: Mine complex, large-scale, and alternative data streams (bank transactional data, logs, credit bureau reports, structured/unstructured digital signals) to extract predictive signals. - Partner with Credit Risk ...
... model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. ...
... metadata management, lineage mapping (ADF, Synapse, Power BI), data classification, and security governance (PII/PCI/PHI, sensitivity labels, MIP/DLP).- Experience with data governance tools such as Informatica (Axon), Collibra, Atlan, or IBM IG Catalog.- Experience integrating governance with the Azure data stack (Data Lake, ...
... (Docker) - Experience with time-series forecasting, computer vision applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience using data science techniques to ...
... 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 ...
... with requirements gathering and stakeholder interviews.- Strong analytical and problem-solving https://jobeax.com/link/D1cYk5JWAvbfErTV Stack/Understanding :- Data Catalogs- Metadata Management- Data Quality- Data Governance Frameworks- Advanced Excel, PowerPoint, and reporting https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications ...
India, Gurugram
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
... On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity with data entry, documentation, and record maintenance. ...
... models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...