... change, applying first-principles problem solving, and using data to learn and adapt along the way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and ...
Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...
Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...
... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... 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 ...
... with significant exposure to eCommerce, digital marketing, loyalty programs, or omnichannel retail. - Expert SQL skills and significant experience with large datasets in Snowflake, Databricks, or similar platforms. - Strong proficiency in Python (pandas, scikit-learn, stats models) for modeling, feature engineering, and ...
... and APIs. Use tools like MLflow and Docker for model lifecycle management and MLOps best practices. Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs. 7+ years of experience as a Data Scientist with good experience in Generative AI or ...
... Python. Experience in Configuration changes and Upgrades. Collaborate with application/migration teams with database activities. Should have knowledge of on how data get processed and consumed in Data Platform and how to automate the completed process. Provides migration of database elements and online application components ...
... solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in ...
... systems for ensuring data accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data ...
... experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency in developing, deploying, and debugging data-objects, and data transformation pipelines. ○ Expertise in data analysis methodologies ○ Exposure ...
... identify opportunities to integrate data/insights into decision-making. Understand and translate business requirements from internal and external stakeholders into data product and features. Process, cleanse, and verify the integrity of data used for analysis. Conduct exploratory data analysis to verify the initial hypothesis ...
... mapping rules between source-system data structures and SSPs standardised data models.- Support data profiling, quality assessment and resolution of source-system data issues.- Ensure data integrity throughout the integration lifecycle.4. Reconciliation & Exception Management :- Own transaction-level and data-flow reconciliation ...
... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...
... 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 ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... reliable, well-documented data products that drive operational and strategic decision-making. The ideal candidate is comfortable operating independently across the data stack, takes ownership of their work, and communicates proactively with team members across time zones. Core Responsibilities ETL / Data Pipeline Development ...