... modular Python code, reusable analytic functions, and 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 ...
Blend is seeking Senior Data Scientists to join our Marketing Mix Optimization (MMO) Enhancements team, building next-generation Bayesian Marketing Mix Models that help global clients optimize media investments and maximize business outcomes. This role is ideal for professionals who have deep expertise in Bayesian statistics, ...
MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data. Responsibilities ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and 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 ...
... Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. Integrate data from various sources including APIs, flat files, relational databases, and cloud services. Ensure data quality, data governance, and compliance standard are met. ...
... analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills:SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... 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 ...
We are currently seeking a Lead Data Analyst , reporting directly to BI & Data Analytics Manager to join the team based in Noida. The Lead Data Analyst will work closely with the business and has a dynamic role that bridges technical data analysis with strategic business insights. The Lead Data Analyst should possess quick ...
8+ years of experience in Teradata, Python, and Julia. Strong experience in data engineering and data analytics. Good knowledge of Provider domain. Experience working with Teradata databases. Strong Python skills for data processing and automation. Experience using Julia for analytics and modeling. Knowledge of building ...
... with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. The Data Analyst is responsible for receiving, vetting, and fulfilling data and reporting requests from clients and internal teams. This role ensures the accuracy, confidentiality, and usability of data delivered to stakeholders and supports ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage 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 ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...
... – Operations / Digitalization / Managing Director's Office Role Purpose The role is responsible for analyzing and transforming operational and manufacturing data into actionable insights. The Data Analyst will develop scalable analytics solutions and dashboards to support data-driven decision-making, improve operational ...
We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyze consumer ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... BI reports, dashboards, and user access. Extract and share data from SAP (e.g., sales reports, customer details) in Excel format. Prepare and validate Excel data for incentive calculations and other business requirements. Ensure data accuracy and consistency across reports. Support ongoing data-driven initiatives and process ...
... ongoing optimization.- Strategic Leadership : Define the data science roadmap, align initiatives with business priorities, and influence senior leadership through data-driven insights.- Team & Culture Building : Lead, grow, and inspire a high-performing team of data scientists, fostering innovation, collaboration, and continuous ...