statistical modeler

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the &quot;connective tissue&quot; of the enterprise&mdash;designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:<ul>
<li>
Data Modeling</li>
<li><ul><li>Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).</li>
<li>Implement dimensional modeling for analytical layers.</li>
<li>Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.</li>
<li>Define and enforce naming conventions, metadata standards, and maintain model documentation. 
</li></ul></li><li>Semantic Layer &amp; Ontologies</li>
<li><ul><li>Design and implement a semantic layer to enable business-friendly data access and self-service analytics.</li>
<li>Work with advanced AI-tooling for semantic layer deployment and integration.</li>
<li>Develop and maintain ontologies and taxonomies to standardize business concepts across domains.</li>
<li>Ensure semantic consistency across data products and reporting layers. 
</li></ul></li><li>Knowledge Graph Development</li>
<li><ul><li>Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.</li>
<li>Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).</li>
<li>Collaborate with architects and platform engineers to ensure graph scalability and performance. 
</li></ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Work closely with Data Architects to align models with Lakehouse design principles.</li>
<li>Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.</li>
<li>Collaborate with Data Quality teams to embed validation rules and ensure compliance. 
</li></ul></li></ul><ul><li>Optimisation &amp; Standards</li>
<li><ul><li>Ensure models support schema evolution, partitioning strategies, and performance optimisation.</li>
<li>Create reusable modeling templates and best practices for Data Factory squads.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
Strong experience in data modeling for Lakehouse or data warehouse environments.</li>
<li>Proficiency in semantic layer design, ontologies, and knowledge graph development.</li>
<li>Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.</li>
<li>Understanding of metadata management and lineage tools (OpenMetadata preferred).</li>
<li>7+ years in data modeling or data architecture roles.</li>
<li>Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus.</li>
</ul>
You will also have experience in:<ul>
<li>
Data modeling tools (ERwin, PowerDesigner, or similar).</li>
<li>Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).</li>
<li>Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).</li>
<li>Analytical and conceptual thinking.</li>
<li>communicating and stakeholder engagement abilities.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication with different levels of stakeholders.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<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>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
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.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Data Modeler

Accenture

Project Role : Data Modeler 
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
 
Must have skills : Data Modeling Techniques and Methodologies 
Good to have skills : NA 
Minimum 15 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Modeler, you will collaborate 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 engaging with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and governance policies, while continuously seeking opportunities for improvement and innovation in data management practices. Roles &amp; Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and meetings to gather requirements and feedback from stakeholders. - Develop and maintain comprehensive documentation of data models and methodologies. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Good To Have Skills: Experience with data warehousing concepts and practices. - Strong understanding of relational and non-relational database systems. - Familiarity with data governance and data quality frameworks. - Experience in using data modeling tools such as Erwin or IBM InfoSphere Data Architect. Additional Information: - The candidate should have minimum 15 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

HCA Healthcare

<div><h5 class="jobSectionHeader">Introduction</h5>
Do you want to join an organization that invests in you as a(an) Data Modeler? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.<h5 class="jobSectionHeader">
Benefits</h5>
HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:<ul><li>
Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.</li><li>
Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.</li><li>
Free counseling services and resources for emotional, physical and financial wellbeing 
</li><li>
401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) 
</li><li>
Employee Stock Purchase Plan with 10% off HCA Healthcare stock 
</li><li>
Family support through fertility and family building benefits with Progyny and adoption assistance. 
</li><li>
Referral services for child, elder and pet care, home and auto repair, event planning and more 
</li><li>
Consumer discounts through Abenity and Consumer Discounts 
</li><li>
Retirement readiness, rollover assistance services and preferred banking partnerships 
</li><li>
Education assistance (tuition, student loan, certification support, dependent scholarships) 
</li><li>
Colleague recognition program 
</li><li>
Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) 
</li><li>
Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.</li></ul>
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location. 
You contribute to our success. Every role has an impact on our patients&rsquo; lives and you have the opportunity to make a difference. We are looking for a dedicated Data Modeler like you to be a part of our team.<h5 class="jobSectionHeader">
Job Summary and Qualifications</h5>
Job Summary
HCA Healthcare is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem. 
 
The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs. 
 
This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance. 
 
As a key contributor to HCA&rsquo;s data strategy, you will also develop and maintain a comprehensive data architecture roadmap, ensuring alignment with business priorities and evolving technology trends. By integrating advanced analytics and machine learning capabilities, you will help HCA Healthcare maximize the value of its data to improve clinical outcomes and operational efficiency. 
What you will do:
Perform advanced data analysis to inform design decisions and ensure alignment with business needs. Create logical data models or object models of moderate complexity to address business challenges. Identify redundant data objects and reusable data items across systems and applications. Define data transformation requirements and implement efficient solutions. Implement enterprise data management practices, standards, and frameworks for Data Integration Ensure data governance and security best practices are followed. Participate in code reviews and provide feedback on SQL queries and ETL pipelines 
Build automated validation processes for data integrity checks<h6 class="jobSectionHeader">
What qualifications you will need:</h6><ul><li>
Bachelor's degree Computer Science or a related field required</li><li>
Master's degree Computer Science or a related field preferred</li><li>
3+ years of experience in data management, data products, or analytics required</li><li>
Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients required</li><li>
Proficiency in SQL and database design</li><li>
Ability to write, tune, and interpret SQL queries; Experience GCP Big Query is a plus</li><li>
Experience with GIT and GitHub version control.</li><li>
Extensive experience in architecture, construction, and implementation of data-intensive solutions</li><li>
Strong understanding of metadata management and data cataloging</li><li>
Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously</li><li>
Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines.</li><li>
Familiarity with Python, GCP Dataflow and Cloud Composer is a plus</li><li>
Ability to analyze and interpret complex data, and offer solutions to complex clinical problems.</li><li>
Ability to work independently on assigned tasks.</li><li>
Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand.</li><li>
Excellent problem-solving and critical thinking skills.</li><li>
Knowledge of IT governance and operations.</li><li>
Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect required</li><li>
Effective Decision Making: Ability to make timely, informed decisions that are in the best interest of our patients, employees, providers, community and HCA required</li></ul>
Work Location/Schedule:<ul><li>
Nashville, TN (near Centennial Park)</li><li>
Onsite M-F for the fist 6 months, then Hybrid with 2 days onsite/wk.</li></ul>
Travel Required:<ul><li>
The job may require travel from time- to-time, but not on a regular basis</li></ul> 
&quot;Good people beget good people.&quot;- Dr. Thomas Frist, Sr. 
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Modeler opening. Qualified candidates will be contacted for interviews.Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

SiloSmashers, Inc.

<div>
 
 Role Summary
 
 
 
 Provides statistical modeling, data analysis, estimation procedures, and analytical review for national crime-reporting datasets. Supports data-quality evaluations, special-report analysis, dashboard development, and analysis of data transitions between reporting systems.
 
 
 
 Key Duties
 
 
 
 <ul>
 <li>
 Perform statistical analysis, data modeling, trend detection, and estimation procedures.
 </li>
 <li>
 Evaluate the transition from summary-based systems to incident-based systems.
 </li>
 <li>
 Review public data releases and recommend improvements to statistical products.
 </li>
 <li>
 Analyze the movement of data from source systems into public-access tools.
 </li>
 <li>
 Develop dashboards and visualizations using Power BI.
 </li>
 <li>
 Support methodologies for estimation when reporting thresholds are not met.
 </li>
 <li>
 Analyze RMS-derived data for anomalies, patterns, and system-driven inconsistencies.
 </li>
 <li>
 Present data findings to program leadership and stakeholders.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Top Scret
 </li>
 <li>
 Bachelor's degree in Statistics, Data Science, Mathematics, or related discipline.
 </li>
 <li>
 Strong Power BI skills (data modeling, DAX, visualizations).
 </li>
 <li>
 Experience working with structured data, XML, and flat-file formats.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with national crime-reporting datasets or criminal-justice statistical programs.
 </li>
 <li>
 Familiarity with OMB data-quality guidelines.
 </li>
 <li>
 Knowledge of law-enforcement Records Management Systems (RMS).
 
 
 </li>
 </ul>
 
 Job Posted by ApplicantPro
 
</div>

Data Scientist / Statistical Analyst

Project Role : Analytics Practitioner 
Project Role Description : Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data.
 
Must have skills : Program Control Services 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an Analytics Practitioner, you will engage in developing business insights through predictive statistical modeling activities. Your typical day will involve utilizing various analytical tools and techniques to enhance decision-making processes by modeling client, market, and key performance data. You will collaborate with team members to interpret data findings and provide actionable recommendations that drive business success. 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. - Analyze complex datasets to extract meaningful insights and trends. - Collaborate with cross-functional teams to align analytical efforts with business objectives. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Program Control Services. - Strong analytical skills with the ability to interpret complex data. - Experience with statistical modeling techniques and tools. - Familiarity with data visualization software to present findings effectively. - Knowledge of data governance principles and best practices. Additional Information: - The candidate should have minimum 3 years of experience in Program Control Services. - This position is based at our Mumbai office. - A 15 years full time education is required.
 
15 years full time education

Analytics Practitioner

JioStar

<div><div>Job Summary:</div><div>
The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.</div><div></div><div> 
About the team:</div><div>
The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar&rsquo;s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter.</div>
<h3 class="jobSectionHeader">KEY RESPONSIBILITIES:</h3><ul><li>
Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform</li><li>
Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue</li><li>
Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities</li><li>
Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions</li><li>
Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights</li><li>
Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact</li><li>
Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform</li><li>
Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders</li></ul><h3 class="jobSectionHeader">
SKILLS &amp; ATTRIBUTES FOR SUCCESS:</h3><ul><li>
Proven experience in data science and machine learning
</li><li>Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)</li><li>
Expertise in building and deploying machine learning models into production systems</li><li>
Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques</li><li>
Should be comfortable leveraging LLMs and internals</li><li>
Strong problem-solving skills with the ability to translate business problems into data science solutions</li><li>
Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders</li></ul><h3 class="jobSectionHeader">
Preferred education and experience:</h3><ul><li>
Bachelors/Masters in Data Science, Statistics, Computer Science, Mathematics, or a related field with 4-7 years of experience in data science</li></ul><div>
About Us</div><div>
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div></div><div> 
 JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

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Senior Data Scientist

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