... succession planning, and performance management- 4c. Establish data science governance, standards, and best practices5. Data Governance & Platforms : - 5a. Establish data governance, quality, and security frameworks- 5b. Partner with IT to build scalable data platforms (cloud, IoT, data lake)- 5c. Ensure compliance with data privacy ...
... contributes to the growth of the analytic community. - Evaluates new technologies and manages vendors engaged in big data analysis. - Designs data mining frameworks and statistical protocols to extract and monitor patterns within high-volume datasets across functional business domains. - Applies cutting-edge data science ...
... sessions to our Learning Management Systems. Manage the team s shared inboxes, responding to queries in a timely manner. Pull reports from systems and other data sources to support team coordinators with dashboards. Maintain the team s training tracker and calendar of events. Schedule live training, wellbeing sessions ...
... :- 6 - 10 years of experience in data science / optimization- Strong experience in Python and Gurobi- Hands-on experience with linear optimization- Experience working with large datasets- Familiarity with Git and Excel- Degree in a quantitative field (CS, Math, Statistics, Economics)Good to Have :- SQL, Solver framework- ...
... hands-on experience with Databricks for data analysis, exploration, validation, and troubleshooting. Advanced SQL querying and scripting skills, with the ability to work with complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore ...
... next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and Data Warehouses. You will work at the intersection of data engineering, cloud platforms, and ...
... pharmaceutical plants, FMCG projects - Data Centre projects hyper scale and retail scale. - Excellent domain knowledge of Master planning, preparation of concept layouts, working drawings and good for construction drawings, Pre-Engineered Building works, - Awareness of 3D platforms like Revit 3D, Sketch up, Lumion, Twin motion At Jacobs ...
... and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration and scheduling frameworks. Monitoring and support ETL monitoring and observability. Data quality frameworks and validation processes. Incident management ...
... are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. Utilize skills in development areas including data warehousing, business ...
... S/4HANA.- Familiarity with SAP BTP Integration Suite / Cloud Integration (CPI).Technical Architecture:- Knowledge of S/4HANA architecture, Fiori, CDS Views, OData services, APIs, and extensibility concepts.Qualifications:- Bachelor's degree in Computer Science, Information Technology, Finance, Business, Engineering, or ...
... your career. Comprehensive life insurance coverage. Premium medical insurance for you and your dependents. Generous annual leave balance. Flexible and hybrid work solutions. Remote work opportunities outside of country. Company gratuity scheme. Discretionary bonus program. Relocation assistance. Employee Wellbeing Program: ...
... pipelines. • Understanding of data governance, security, and compliance frameworks. Experience, Qualifications, and Education • Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake. • Education: University degree required. • Preferred: ...
... hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation ...
... real-time ETL/ELT pipelines on GCP Build and optimize data pipelines using Python Implement streaming solutions using Pub/Sub and Dataflow Develop and manage batch workflows using Cloud Composer Design and optimize data models and queries in BigQuery Work with large-scale, low-latency data stores such as Bigtable Ensure data ...
... development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: - Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, ...
... 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 ...
... HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications ...
... purpose of this role is to develop, sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. - The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and ...
... and manages the inspection and evaluation of product progress through each iteration. Drives the mitigation of program risks. Leads in Inspect & Adapt (I&A) workshop to work across teams to define and implement improvement stories to increase program quality. A key member of the Agile team who utilizes perspective to define ...
... technical and non-technical audiences. Requirements: - 8–10 years of experience in data science or related fields. - At least 4 years of hands-on experience as a Data Scientist in real-world production environments. - Minimum of 2 years' experience working with Azure Cloud, including Databricks, Azure Data Factory (ADF), and ...