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rr-0204936 - sr analyst ii software engineering Jobs in Riyadh

rr-0204936 - sr analyst ii software engineering

data scientist analyst sr level 1

Globant

<div>Key Responsibilities:
 Design and develop Gen AI and Agentic solutions leveraging Python, LangGraph,
 
LangChain, and Large Language Models.
 Build and optimize AI workflows on AWS (S3, Lambda, EC2, OpenSearch, Bedrock).
 Collaborate with cross-functional teams to deliver AI-driven solutions for the travel
 
domain.
 Ensure scalability, performance, and integration of AI systems into business processes.
 
 
Required Skills:
 Strong expertise in Python, Gen AI frameworks (LangChain, LangGraph), and
 
LLM-based applications.
 Hands-on experience with AWS cloud services (S3, Lambda, EC2, OpenSearch,
 
Bedrock).
 Knowledge of AI-driven architectures and model deployment. 
 
 
 
Good to Have:
 AWS Data Engineering skills (Glue, Redshift, EMR).
 Travel domain experience.</div>

Data Scientist_Analyst Sr Level 1

TAWANTECH

<div>
 
 
 Job Overview:
 
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Analyze large, complex structured and unstructured datasets to derive actionable insights.
 </li>
 <li>
 Develop, validate, and deploy statistical and machine learning models.
 </li>
 <li>
 Use SQL, Python, or R to manipulate data and draw insights from large datasets.
 </li>
 <li>
 Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
 </li>
 <li>
 Implement parameter reduction techniques such as feature selection and PCA to optimize models.
 </li>
 <li>
 Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
 </li>
 <li>
 Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
 </li>
 <li>
 Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
 </li>
 <li>
 Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders.
 </li>
 <li>
 Ensure accuracy, consistency, and quality in data deliverables.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Scientist, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in SQL and Python or R.
 </li>
 <li>
 Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
 </li>
 <li>
 Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
 </li>
 <li>
 Experience with parameter reduction techniques (e.g., PCA, feature selection).
 </li>
 <li>
 Proven experience working with APIs, large datasets, and both structured/unstructured data.
 </li>
 <li>
 Experience using Dataiku (DSS) for building data pipelines and deploying models.
 </li>
 <li>
 Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
 </li>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
 </li>
 <li>
 Experience in the financial services or investment domain is a plus
 </li>
 </ul>
</div>

Data Scientist

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are seeking an experienced Data Scientist to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Analyze large, complex structured and unstructured datasets to derive actionable insights.
</li><li>Develop, validate, and deploy statistical and machine learning models.
</li><li>Use SQL, Python, or R to manipulate data and draw insights from large datasets.
</li><li>Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
</li><li>Implement parameter reduction techniques such as feature selection and PCA to optimize models.
</li><li>Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
</li><li>Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
</li><li>Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
</li><li>Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
</li><li>Collaborate with cross-functional teams including product, engineering, and business stakeholders.
</li><li>Ensure accuracy, consistency, and quality in data deliverables.
</li></ul>Requirements<h3 class="jobSectionHeader">
Required Qualifications:</h3><ul>
<li>3+ years of experience as a Data Scientist, Data Analyst, or similar role.
</li><li>Strong proficiency in SQL and Python or R.
</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
</li><li>Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
</li><li>Experience with parameter reduction techniques (e.g., PCA, feature selection).
</li><li>Proven experience working with APIs, large datasets, and both structured/unstructured data.
</li><li>Experience using Dataiku (DSS) for building data pipelines and deploying models.
</li><li>Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
</li><li>Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
</li><li>Experience in the financial services or investment domain is a plus.</li></ul></div>

Master Team

<div>
 
 
 Job Title: Mid to Senior Level Business Analyst - Master Team
 
 
 
 
 Job Location: Riyadh - KSA
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a skilled and experienced Mid to Senior Level Business Analyst to join us. As a key member of the team, you will be responsible for collaborating with various stakeholders to understand business needs, analyze requirements, and contribute to the successful delivery of high-impact projects. If you are a strategic thinker with a proven track record of driving results through effective business analysis, we invite you to apply and be a part of our dynamic team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ol>
 <li>
 Collaborate with stakeholders to gather, analyze, and document business requirements.
 </li>
 <li>
 Conduct thorough data analysis to identify trends, patterns, and insights that inform business decisions.
 </li>
 <li>
 Work closely with cross-functional teams to ensure alignment between business objectives and technical solutions.
 </li>
 <li>
 Develop detailed functional specifications, user stories, and process flows to support project implementation.
 </li>
 <li>
 Lead requirement validation sessions and facilitate communication between technical and non-technical team members.
 </li>
 <li>
 Contribute to the development and execution of test plans to ensure the quality of deliverables.
 </li>
 <li>
 Provide ongoing support for project implementations, including post-implementation reviews and continuous improvement initiatives.
 </li>
 </ol>
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 Bachelor's or Master's degree in Business Administration, Information Technology, or a related field.
 </li>
 <li>
 Proven experience as a Business Analyst, with a focus on mid to senior-level responsibilities.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to translate complex business needs into actionable requirements.
 </li>
 <li>
 Excellent communication and interpersonal skills to effectively engage with stakeholders at all levels.
 </li>
 <li>
 Familiarity with project management methodologies and tools.
 </li>
 <li>
 Certification in Business Analysis (CBAP) is a plus.
 </li>
 </ol>
 
 
</div>

Business Analyst

Confidential Government

<div>
 
 
 We are seeking a candidate with experience as a Proteomics Scientist / Protein Chemist / Mass Spectrometry Specialist.
 
 
 
 
 
 
 
 Specific Accountabilities:
 
 
 <ol>
 <li>
 Proficiency with mass spectrometry platforms.
 </li>
 <li>
 Expertise in protein sample preparation and separation techniques.
 </li>
 <li>
 Skilled in proteomic data analysis software.
 </li>
 <li>
 Experience with bioinformatics tools and multi-omics data integration.
 </li>
 <li>
 Familiarity with experimental design and biomarker discovery workflows.
 </li>
 <li>
 Published research in reputable journals and/or relevant patents.
 </li>
 <li>
 Experience leading proteomics projects or teams.
 </li>
 <li>
 Successful collaboration with multidisciplinary research groups.
 </li>
 <li>
 Demonstrated ability to translate proteomics data into actionable insights for diagnostics or therapeutics.
 </li>
 </ol>
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 Ph.D. in Proteomics, Biochemistry, Molecular Biology, Biotechnology, or a closely related life sciences discipline.
 </li>
 <li>
 6+ years of focused experience in proteomics research, with a strong record of scientific contributions (publications, patents, collaborations).
 </li>
 </ol>
</div>

Proteomics Researcher

Sundus

<div>
 
 
 Position: Financial Analyst (Entry Level)
 
 
 
 
 Location:
 
 Ar Rabi, Riyadh, Saudi Arabia
 
 
 
 Duration:
 
 Yearly Renewable Contract
 
 
 
 
 
 
 Job Description:
 
 
 
 The Entry-Level Financial Analyst at Sundus Global in Riyadh supports the finance department through data-driven analysis, reporting, and financial planning tasks. This position is ideal for fresh graduates or candidates with up to two years of experience who have a strong interest in financial analysis, budgeting, and forecasting. The role offers a valuable opportunity to develop technical and analytical skills in a professional, growth-oriented environment.
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 <ul>
 <li>
 Assist in preparing and analyzing financial reports, forecasts, and performance metrics.
 </li>
 <li>
 Support budgeting and financial planning activities by gathering and validating data.
 </li>
 <li>
 Conduct variance analysis and identify trends or discrepancies in financial results.
 </li>
 <li>
 Contribute to monthly, quarterly, and annual financial reviews by providing key data insights.
 </li>
 <li>
 Help maintain and update financial models and dashboards using Excel or other analytical tools.
 </li>
 <li>
 Collaborate with accounting and operations teams to ensure accuracy in financial data.
 </li>
 <li>
 Prepare presentations and reports for senior management decision-making.
 </li>
 <li>
 Support internal and external audit processes by compiling relevant financial data.
 </li>
 <li>
 Monitor key financial indicators to support business performance and strategic planning.
 </li>
 <li>
 Generate ad hoc analytical reports as requested by management.
 </li>
 </ul>
 
 
 
 
 
 Qualifications Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Accounting, Economics, or a related field (required).
 </li>
 <li>
 0&ndash;2 years of relevant experience; internships or academic projects in financial analysis are advantageous.
 </li>
 <li>
 Strong proficiency in Microsoft Excel; familiarity with financial modeling tools or software (Ramco) is a plus.
 </li>
 <li>
 Solid understanding of financial statements, ratio analysis, and business metrics.
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities with attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills in English; Arabic proficiency is an advantage.
 </li>
 <li>
 Ability to work both independently and collaboratively across departments.
 </li>
 <li>
 High level of integrity, reliability, and professionalism.
 </li>
 <li>
 Self-motivated, detail-oriented, and eager to learn in a fast-paced environment.
 </li>
 </ul>
 
 
</div>

Financial Analyst (Entry Level)

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Explore 1968+ Data scientist analyst sr level 1 in Riyadh this November. Find roles across top companies and apply now to boost your career.

1968 data scientist analyst sr level 1 jobs IN Riyadh

Data Scientist_Analyst Sr Level 1

Data Scientist

Data Scientist

Business Analyst

Proteomics Researcher

Financial Analyst (Entry Level)

Data Scientist