data modeler

Accenture

<p><b>Project Role : </b>Data Modeler<br>
<b>Project Role Description : </b>Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
<br>
<b>Must have skills : </b>Google BigQuery<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and meet the requirements of the organization, facilitating seamless data integration and accessibility across different platforms. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather and analyze data requirements. - Design and implement data models that enhance data accessibility and usability. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Good To Have Skills: Experience with data warehousing concepts and ETL processes. - Strong understanding of data modeling techniques and methodologies. - Familiarity with SQL and data querying languages. - Experience in data governance and data quality management. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery. - This position is based in Mumbai. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Modeler

Johnson Controls

<div><p><b>Job Title: Data Modeler</b></p><p><b>
Location: Pune, Maharashtra, India</b></p><p><b>
Experience: 4 to 8 Years</b></p><p></p><p><b>
Job Description</b></p><p>
As a Data Architect at JCI, you will play a pivotal role in designing and implementing robust data solutions that support our analytics and business intelligence initiatives. This role requires extensive experience in data modeling, data warehousing, and familiarity with cloud technologies.</p><p></p><p><b>
How you will do it:</b></p><ul><li>
Design and implement data architecture solutions that meet business requirements and align with overall data strategy.</li><li>
Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and ensure data availability and quality.</li><li>
Create and maintain data models, ensuring they are optimized for performance and scalability.</li><li>
Establish data governance practices to maintain data integrity and security across the organization.</li><li>
Lead the design and implementation of data integration processes, including ETL workflows and data pipelines.</li><li>
Evaluate and recommend new tools and technologies to improve data management capabilities.</li><li>
Provide technical leadership and mentorship to other team members in best practices for data architecture.</li><li>
Stay current with industry trends and advancements in data technologies and methodologies.</li></ul><p></p><p><b>
What we look for:</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.</li><li>
4 to 8 years of experience in data architecture or a similar role.</li><li>
Strong proficiency in SQL and experience with data modeling and database design.</li><li>
Experience with cloud data solutions, such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data warehousing concepts and tools.</li><li>
Excellent analytical and problem-solving skills.</li><li>
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li></ul><p></p><p>
Join JCI and leverage your expertise to create impactful data solutions that drive our business forward!</p></div>

Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>We are seeking a skilled and experienced Data Modeler with strong background in Star and Snowflake Schema</li>
<li>In this role you will be responsible for Designing implementing and maintaining data models that support efficient storage and retrieval of large scalable data sets</li>
<li>You will also work closely with Data Engineers Business Analysts and Business Stakeholders</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>A day in the life of an Infoscion</li>
<li>As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment</li>
<li>You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues</li>
<li>You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms</li>
<li>You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance</li>
<li>You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization</li>
<li>If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Primary skills Technology Database Data Modeling</li>
<li>Desirables Process PLM Architecture and Data Model Design Technology Consulting Data Management Data Management</li>
<li>Primary skills Technology Database Data ModelingData modeler Erwin</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Good knowledge on software configuration management systems</li>
<li>Strong business acumen strategy and cross industry thought leadership</li>
<li>Awareness of latest technologies and Industry trends</li>
<li>Logical thinking and problem solving skills along with an ability to collaborate</li>
<li>Two or three industry domain knowledge</li>
<li>Understanding of the financial processes for various types of projects and the various pricing models available</li>
<li>Client Interfacing skills</li>
<li>Knowledge of SDLC and agile methodologies</li>
<li>Project and Team management</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Database-&gt;Data Modeling</div>

Sr Data Modeler

MetLife

<div><div><div><div><div><div>Country
</div><div>India
</div></div><div><div>Working Schedule
</div><div>Full-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>No
</div></div><div><div>Posted Date
</div><div>14-Oct-2025
</div></div><div><div>Job ID
</div><div>13077
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><p></p><div><div><div><div><div><div><div><p><b>Role Value Proposition</b></p><p>
The Business analyst data modeler is an important role in the data and analytics (D&amp;A) organization. The role ensures, data is structured, organized and is represented effectively aligned to the needs of the organization. The role helps design logical &amp; physical model which include implementation of robust data models that accurately capture, store, and manage data end to end.</p></div></div><p></p><div><p><b><br>
Job Responsibilities</b></p></div><p></p><div><div><ul><li><br>
 Perform data modeling activity (Logical, Physical) using data modeling tool &ndash; CA Erwin Data Modeler</li></ul><ul><li> Ability to gather, understand &amp; analyze business requirements accurately</li></ul><ul><li> Ability to analyze data using SQL</li></ul><ul><li> Partnering with other teams to understand data needs &amp; translating it into effective data models.</li></ul><ul><li> Ability to collaborate with stakeholders to provide domain-based solutions.</li></ul><ul><li> Experience in implementing industry data modeling standards, best practices, and emerging technologies in data modeling</li></ul><ul><li> Hands-on experience with API development and integration (REST, SOAP, JSON, XML).</li></ul></div></div><p></p><div><p><b><br>
Education, Technical Skills &amp; Other Critical Requirement</b></p></div><p></p><div><p><b><br>
Education</b></p><p><br>
Bachelor&rsquo;s degree in computer science, Engineering, or a related tech or business discipline</p></div><p></p><div><div><p><b><br>
Experience</b></p><p><i>
(In Years)</i></p></div><div><p><br>
1. 3-5 years Hands on experience in CA Erwin</p><p>
2. 3-5 years experience in SQL, data modelling and data analysis</p><p>
3. Ability to communicate effectively</p><p>
4. Understanding of API Design and Ingestion</p><p>
5. Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units</p></div></div><p></p><div><p><b><br>
Technical Skills</b></p><div><p><br>
1. Strong SQL skills</p><p>
2. Hands-on experience with ERWIN tool</p><p>
3. Familiarity with Agile best practices</p><p>
4. Strong collaboration and facilitation skills</p></div></div><p></p><div><p><b><br>
Other Preferred Skills</b></p><div><p><br>
1. Familiarity with Azure cloud</p><p>
2. Experience in a client-facing role/environment.</p></div></div></div><br>
<p></p>
</div></div></div></div></div><div><div><div><div><div><b>About MetLife</b><br>
<div></div>
<p>Recognized on Fortune magazine's list of the &quot;World's Most Admired Companies&quot; and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
</p><p></p><p>Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</p></div></div></div></div></div></div>

Data Modeler II

Intelligent Medical Objects

<div><div><div>At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower over 740,000 clinicians by enhancing how healthcare data is structured, delivered, and understood.</div><div>
We are seeking an experienced <b>Semantic Data Modeler</b> to join our team, focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) workflows. In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL DO:
</b></h3><ul><li><ul><li><b>Semantic Model Design:</b> Contribute to the design, development, and iterative refinement of complex semantic data models, with a focus on ontologies, knowledge graphs, and property graphs.</li><li><b>
Requirement Translation: </b>Assist senior team members in translating intricate, cross-functional business needs into formal, scalable knowledge graph structures, ensuring tight alignment with the enterprise data strategy.</li><li><b>
Governance and Standards:</b> Document semantic assets, including detailed entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to established best practices and fostering consistency across the organization.</li><li><b>
Graph Data Analysis &amp; Feature Engineering:</b> Utilize data science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structure, identify data patterns, perform feature engineering, and support advanced analytics based on the knowledge graph.</li><li><b>
Data-Driven NLP Integration:</b> Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships directly into the semantic models, effectively structuring raw data for machine learning consumption.</li><li><b>
Robust Data Quality:</b> Implement and maintain data quality frameworks, validation rules (e.g., using SHACL), and transformation logic within the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph.</li><li><b>
Cross-Functional Partnership:</b> Partner closely with Staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements, and ensure semantic solutions effectively meet organizational objectives.</li><li><b>
Research &amp; Evaluation:</b> Assist in researching, evaluating, and utilizing new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, and NLP to drive continuous process improvement.</li><li><b>
Knowledge Sharing:</b> Proactively share technical expertise and knowledge with peers and cross-functional teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL NEED:
</b></h3><ul><li><ul><li>BA/BS in a STEM field (e.g., Computer Science, Data Science, Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering.</li><li>
Proven hands-on experience in semantic modeling concepts (ontologies, knowledge graphs, property graphs).</li><li>
Expertise in Python for data manipulation, analysis, and pipeline development, including libraries like Pandas/NumPy.</li><li>
Strong understanding of statistical and machine learning concepts (e.g., classification, clustering, regression) and their application to graph-based data.</li><li>
Demonstrated experience with NLP technologies and libraries (e.g., NLTK, spaCy, Gensim, Hugging Face) for text extraction, named entity recognition, or relationship extraction.</li><li>
Strong working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j, etc.) and graph query languages (e.g., SPARQL or Gremlin).</li><li>
Familiarity with semantic web standards like OWL, RDFS, and SHACL.</li><li>
Experience with relational databases (SQL) and general data warehousing concepts.</li><li>
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>
Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>NICE TO HAVE:
</b></h3><ul><li><ul><li>Practical experience with AWS data services (e.g., Glue, Sagemaker) and ETL/ELT methodologies.</li><li>
Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.</li></ul></li></ul></div></div>
<div><div>$110,000 - $160,000 a year</div><div>
Compensation at IMO Health is determined by job level, role requirements, and each candidate&rsquo;s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.</div><div>
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page.</div></div></div>

Semantic Data Modeler

Rogue Credit Union

<div><p><b>Department</b>: Enterprise Analytics Department</p><p><b>
Reports To</b>: Enterprise Analytics Manager</p><p><b>
Classification</b>: Exempt</p><p></p><p><b><br>
About Rogue Credit Union</b>:</p><p>
Rogue Credit Union is a member-owned, not-for-profit financial cooperative headquartered in the Rogue Valley located in beautiful southern Oregon. Providing services to our members in select Oregon and Idaho counties. We strive to make an impact in the communities we serve by living, giving, and supporting local. Our mission is to provide exceptional member experiences that build mutually beneficial relationships to create the most loyal members in the nation. Here at Rogue, we believe in having a culture of happy team members who feel supported, have the chance to grow their careers, and LOVE where they work!</p><p></p><p><b><br>
Role</b>:</p><p>
The Analytics Data Modeler is responsible for designing and maintaining the semantic data layer and analytics catalog that support governed, scalable, and business-aligned reporting and analytics across Rogue Credit Union. This role serves as the product owner of the semantic layer and data/analytics catalog, translating business definitions into technical requirements and enabling trusted, self-service insights. The Data Modeler collaborates closely with Analytics Engineers, BI Analysts, and business stakeholders to ensure consistent terminology, validated metrics, and high-quality data models that support strategic decision-making.</p><p></p><p><b><br>
Essential Functions &amp; Responsibilities</b>:</p><p>
30% Design, build, and maintain semantic models that support enterprise reporting and analytics. Define KPIs, measures, hierarchies, and dimensions with clear business logic that aligns with governance-approved definitions. Optimize models for scalability, query performance, and ease of use in BI tools such as Tableau Server, Tableau Cloud and Power BI. Continuously refine models based on stakeholder feedback and evolving business needs.</p><p></p><p><br>
25% Engage directly with business stakeholders to validate terminology, definitions, and reporting logic. Document business requirements in a way that can be translated into technical specifications for Analytics Engineers to develop master data. Act as a bridge between technical and non-technical teams, ensuring semantic models accurately reflect the business use case.</p><p></p><p><br>
15% Administer and curate the enterprise analytics catalog, ensuring all semantic models and datasets include complete metadata (definitions, lineage, and usage notes). Maintain glossary entries and steward assignments. Manage certification workflows so users can distinguish between exploratory data sources and trusted, production-ready models.</p><p></p><p><br>
10% Contribute to data governance efforts by aligning semantic models with enterprise data definitions and quality standards. Support impact analysis by documenting dependencies across datasets, models, and reports. Partner with stewards and governance bodies to ensure data quality, consistent reporting logic, and alignment in terminology across the credit union.</p><p></p><p><br>
10% Collaborate with the Data Architect and Analytics Engineers to integrate semantic models into the enterprise data platform. Ensure compatibility with Microsoft Fabric, Lakehouse/OneLake, Tableau Cloud, and Power BI. Participate in architecture testing, deployment, and versioning processes to ensure smooth adoption of future platform enhancements.</p><p></p><p><br>
5% Assist with configuration of analytics tools to support metadata and governance needs. Contribute to metadata alignment efforts across Tableau&rsquo;s Data Management Add-On, Microsoft Purview, and related tools. Ensure metadata in these systems remains synchronized with the analytics catalog and semantic models.</p><p></p><p><br>
5% Proactively performs other duties as needed or assigned.</p><p></p><p><b><br>
Knowledge &amp; Skills</b>:</p><p><b>
Experience</b>: The role requires three to five years of experience in data modeling, metadata management, or analytics engineering, with a proven ability to translate business requirements into technical specifications. It involves designing and managing semantic data models in Microsoft Fabric or a similar platform, including building semantic layers and collaborating with business stakeholders to ensure alignment on terms, definitions, and reporting logic. Familiarity with BI tools such as Tableau and Power BI, SQL-based environments like SQL Server and Oracle SQL Developer, and data cataloging platforms such as Alation, Collibra, or Atlan is essential. Experience in financial services is preferred.</p><p></p><p><b><br>
Education</b>: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).</p><p></p><p><b><br>
Interpersonal Skills</b>: Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and discretion, requiring diplomacy and tact in communication.</p><p></p><p><b><br>
Other Skills</b>: The role requires strong SQL skills with experience in relational databases such as SQL Server and Oracle, along with proficiency in Tableau (including the data management add-on), Knime, and metadata tools. Familiarity with Microsoft Fabric, Lakehouse/OneLake, and Purview is important, as well as an understanding of data governance, cataloging, and semantic modeling best practices. Experience with data modeling tools like dbt, or similar is expected, combined with excellent communication, documentation, and stakeholder engagement skills.</p><p></p><p><b><br>
Physical Requirements</b>: Some lifting required (up to 30 pounds), continuous sitting, occasional standing and occasional walking. Finger dexterity while using computer. Occasional talking and hearing in person and on the telephone. Continuous clarity of vision at 20 inches or less and continuous clarity of vision at 20 feet or more.</p><p></p><p><b><br>
Work Environment</b>: This job is an exempt position that requires flexibility in scheduling tasks and projects. The employee must independently monitor hours and judge the time needed to be spent on applicable duties. Employee must be capable of adjusting to unpredictable schedules proactively. As a direct representative of the Credit Union, the employee must conduct and present themselves courteously and professionally. Exposed to potentially hazardous conditions, i.e., robbery.</p><p></p><p><b><br>
Disclaimer</b>:</p><p>
Rogue Credit Union is a drug free workplace and requires a drug screening test within 48 hours of employment offer.</p><p></p><p><br>
Rogue Credit Union is an Equal Opportunity Employer and makes employment decisions without regard to race, color, national origin, religion, sex, age, disability, veteran status, or any other protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method, please call (541) 622-7295.</p><p><b>
This Job Description is not a complete statement of all duties and responsibilities comprising the position.</b></p></div>

Analytics Data Modeler

Deeplight

<div><p>Role Summary</p><p>
We are seeking an accomplished Senior Data Modeller with a strong track record in banking and consulting environments. The role involves leading the design, governance, and optimization of enterprise-wide data models, ensuring high-quality, scalable, and compliant data structures that support critical financial operations, regulatory reporting, advanced analytics, and AI. The ideal candidate combines deep technical expertise with business acumen from financial services and the ability to deliver structured solutions in complex consulting projects.</p><p><b>
Requirements</b></p><p>
Key Responsibilities</p><ul>
<li>Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.</li>
<li>Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.</li>
<li>Partner with Data Architects, Engineers, and Business Analysts to ensure data models align with both business needs and regulatory requirements (Basel III, IFRS, BCBS 239, AML/KYC).</li>
<li>Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.</li>
<li>Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.</li>
<li>Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.</li>
<li>Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.</li>
<li>Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.</li>
<li>Mentor and guide data modelers, embedding consulting-grade delivery standards.</li>
</ul><p></p><p>Required Qualifications</p><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.</li>
<li>10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.</li>
<li>Proven ability to design and implement conceptual, logical, and physical data models for banking domains(risk, finance, treasury, compliance, customer data).</li>
<li>Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).</li>
<li>Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).</li>
<li>Experience in data governance, metadata management, and regulatory reporting data structures.</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).</li>
<li>Excellent stakeholder management with experience presenting to C-levels in banks and financial regulators.</li>
</ul><p></p><p>Preferred Qualifications</p><ul>
<li>Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).</li>
<li>Hands-on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.</li>
<li>Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches.</li>
<li>Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.</li>
</ul><p></p><p>Tools &amp; Technologies (Relevant Exposure)</p><ul>
<li>Data Modeling: Erwin, ER/Studio, PowerDesigner</li>
<li>Banking Systems: Temenos, Finacle, Murex, Calypso</li>
<li>Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift</li>
<li>Governance: Collibra, Informatica, Alation</li>
<li>Analytics &amp; BI: Tableau, Power BI, SAS, Qlik</li>
<li>Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks</li>
</ul><p><b>Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p></div>

Senior Data Modeler

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