Research and Development Business Unit: Finance Experience Level: Experienced Professionals The Commercial Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, ...
... reports when needed Work together with the team for smooth work Requirements Good typing skills and careful attention to detail Basic computer skills, like using Excel and Word Can work alone or with a team Good communication skills in English and/or local language Previous data entry experience is helpful but not required ...
... 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 ...
... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...
... (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote best practices in model development and code quality. - Translate business problems into data science solutions and communicate results to stakeholders. ...
... and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse ...
... 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 ...
... analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership experience : Proven experience leading teams of analysts and managing analytical deliverables- People management : Experience ...
... consistency, completeness, and integrity of data across Oracle-based systems through validation and quality checks.- Work with multiple IT roles including Data Analysts, Solution Architects, and Information Architects to embed the use of data models within both project and strategic activities.- Work with business data governance ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered 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 ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... 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 ...
... analytics. The successful candidate will work extensively with Python and PySpark, use R where appropriate, and collaborate with product managers, industry analysts, data scientists and technology partners. The role also contributes to cloud and DevOps activities across AWS, Docker and Terraform when needed. A key part ...
Job Title Master Data Management Lead ( Sr Manager – IT ) VP-IT / Global COE Head The Master Data Management Lead will be part of the Global Center of Excellence (COE) for CONMED, which will be operational from India. This role is crucial in building, governing, and operating enterprise master data capabilities across SAP ...
... downstream consumers. Enable Data Producers: Work with domain engineering teams to improve data quality at the source. You help producers understand how their data flows through the Medallion layers and what 'good' looks like. Drive Production Excellence: Define the standards for 'Always-On'data modeling. You implement automated ...
... Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, ...
... best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science libraries. ...
... comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset ...
Role Purpose This role is responsible for driving enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, ...
... Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big data certifications Soft Skills - Strong problem-solving and analytical thinking abilities - Excellent communication ...