Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement). - Develop and maintain data warehouses and data lakes. - Ensure data quality, integrity, and security. - Develop data models and algorithms for predictive analytics (e.g., Implement data visualization tools (e.g., Tableau, ...
Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, ...
... Hyderabad to support our data and digital product initiatives. This will be one internship cohort, and interns will be allocated internally to data engineering, data analysis, or data science work based on skills and project needs. This internship offers hands-on experience with Python, SQL, Power BI, Databricks, data science ...
... containers as well as GCP suite, terraform kubernetes, cloud functions You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability. You are passionate about all things data: Big data, small data, moving ...
... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions ...
Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...
... machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services ...
Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
... Excellent content ideation and storytelling skills. Short format copywriting for brands Strong communication, presentation and interpersonal skills. Strong analytics and reporting skills, with the ability to turn data into actionable insights. Experience & Qualifications: Education: B.A. in Creative Writing, Communication ...
... based on ROAS, TACOS, sales potential and inventory. - Drive organic and paid visibility through search, merchandising and platform opportunities. Promotions & Analytics - Build the annual promotional and sale-event calendar. - Own business planning for key Myntra events, including pricing, inventory and visibility. - Analyse ...
Sales Operations & Business Analytics Specialist Job Type: Full-time Location: Remote — United States Openings: 1 Compensation: $100,000–$140,000/year About the Opportunity We are seeking a Sales Operations & Business Analytics Specialist to strengthen the systems, data, and insights supporting a growing revenue organization. ...
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The ...
... the operational aspects of business booked (e.g., generating proposal, writing contract, customer correspondence). Analyzing & Reporting on Sales and Financial Data • Analyzes market information by using sales systems and implements strategy to achieve property’s financial room and catering goals. • Assists Revenue Management ...
... solution architecture principles. Experience with Jira, Azure DevOps, Microsoft Project, or similar delivery and collaboration tools. Exposure to AI, Automation, Data & Analytics, or Digital Transformation initiatives is an advantage. Experience in consulting or professional services environments is preferred. Strong stakeholder ...
... Operations concepts (integrating AI/ML) for optimizing efficiency, accuracy, and proactive risk management within financial processes. - Operational Systems & Data Analytics: Proficiency with core financial operational systems, fraud detection platforms, and leveraging data analytics for monitoring, investigation, and informed ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...
... and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks and libraries to integrate advanced analytics into our solutions. Qualifications Experience : Minimum of 3 years of experience ...