... Partner with Commercial, Supply Chain, Finance, and Growth teams to optimize contribution margin, conversion, growth and AOV. Drive pricing automation using data science models and rule-based systems. Align pricing with promotions, coupons, and vendor funding structures. 1-2 years of product management experience, preferably ...
... execute high-impact activations across channels, and work cross-functionally to translate brand strategy into measurable business impact. an interest in wellness science with a knack for tech-based solutions and data (the word 'biomarkers' shouldn't be alien to you); and the energy and drive to build brands through partnerships, ...
... value for their customers. Technology & Engineering dunnhumby’s Technology and Engineering team builds the platforms, pipelines and systems that make customer data science possible at scale. From the data infrastructure that ingests billions of transactions to the APIs and cloud architecture that power our products, we engineer ...
... manage Elasticsearch clusters, indices, mappings, analyzers, and queries to deliver highly relevant and reliable search experiences. - Collaborate with Product Managers, Data Scientists, and Engineering Leaders to design and deliver Elasticsearch-powered solutions across e-commerce and omni-channel platforms. - Lead engineering ...
... we respect the diversity and dignity of our employees and recognize their merit. Technology Product & Platform Management Infrastructure Engineering – Server/Data Center Scientific/Technology The End User Services Core Computing Technology Manager is responsible for engineering and advancing the core endpoint computing ...
... global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments ...
Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...
... manage projects in environments with evolving requirements and timelines. Required Qualifications, Experience & Skills: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience: - 3+ years of professional experience in data science or applied ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate ...
... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...
... 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 Product Managers, Software Engineers, and Subject Matter Experts to deliver AI-driven features. Monitor model ...
... large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and processes data from multiple sources and serves analytics, data science, product, and ...
... 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 ...
Role Overview : We are seeking a seasoned Data/SQL Business Analyst to join our high-growth team in Delhi NCR/Gurgaon. In this role, you will serve as the bridge between complex raw data and actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...