... can be automated. Collaborate with developers and commercial leaders to integrate data-driven improvements in decisioning into operational workflows. Present technical findings effectively to non-technical stakeholders, ensuring clarity and actionable understanding. Own the end-to-end lifecycle of data science projects, from ...
... guidance, review modeling approaches, and mentor other data scientists or ML engineers - Strong communication and collaboration skills, with the ability to explain technical trade-offs and model outcomes to both technical and non-technical stakeholders Experience leading complex ML initiatives involving multiple models, cross-functional ...
... and business impact to both technical and non-technical stakeholders. Education & Experience - 1+ years of hands-on experience in classical machine learning, data science, predictive modeling, or statistical modeling. - D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related ...
... continuous career progression, and opportunities to lead high-impact global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... 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. Strong experience with machine learning, deep learning, and statistical ...
... & Experience :- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).- GenAI Tooling: ...
... & Experience :- Experience: 5+ years of overall Data Science / ML experience, with 2+ years explicitly hands - on with LLMs, RAG, and Agentic AI frameworks.- Databricks Proficiency: Strong experience developing in the Databricks Lakehouse ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Model Serving).- GenAI Tooling: ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... collaborative team environment. Desired Skills and Experience (Good to Have): GCP Certification preferred. Additional Cloud experience in AWS or Azure preferred. Qualification ~ Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)
... possible Collaborate with business, product, and tech teams Required Skills & Qualifications: Education: ~ Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field Technical Skills: Strong knowledge of SQL Experience with Excel / Google Sheets (Advanced) Proficiency in Python or R Experience ...
... measurable outcomes Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI Advanced degree (MS or PhD) in computer science, statistics, ...
... intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience in a highly technical analytics or data science environment- Demonstrated experience delivering analytics solutions within a product or platform context, working in cross-functional ...
... provide technical mentorship.- Build a strong culture of experimentation, innovation, collaboration, and engineering excellence.- Support hiring and development of data science talent.3. Machine Learning & Advanced Analytics:- Guide teams in developing predictive models, classification models, recommendation systems, forecasting ...
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, ...
... Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on ...
... large-scale application development with 5+ years in a Python and PySpark Data Engineering lead role. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, ...
... 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 for practical deployments Explain technical ideas effectively to both technical and non-technical audiences Evaluate and ...