data engineer with snowflake-2 Jobs in Chicago

data engineer with snowflake-2

data science intern

health care data lead analyst Jobs in Chicago

health care data lead analyst

lead director, data science - clinical insights & informatics Jobs in Chicago

lead director, data science - clinical insights & informatics

principal data scientist (clinical informatics) Jobs in Chicago

principal data scientist (clinical informatics)

data scientist

AHOLD Delhaize

<div><b>Category/Area of Expertise:</b> Data-Science &amp; Analytics<br>
<b>Job Requisition:</b> 460791<br>
<b>Address: </b>USA-IL-Chicago-300 South Riverside Plaza
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<b>Store Code: </b>Data Science (5157583)
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Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br>
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<b>Primary Purpose:</b><br>
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A Data Scientist is a crucial member of the Data Science team. You will be responsible for contributing to the development industry-leading machine learning / AI algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also have access to world class academics though our partnerships and joint contracts with universities, as well as our staff of engineers and researchers.<br>
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Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, Quincy, MA.<br>
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Applicants must be currently authorized to work in the United States on a full-time basis.<br>
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<b>Duties &amp; Responsibilities:</b><br>
<ul><li>
Create algorithms to better personalize every customer touch point</li><li>
Develop our core algorithms with strong methodological rigor</li><li>
Identify strengths, weaknesses, and potential biases of modeling components</li><li>
Consult with our brands and business partners to create ML/AI solutions to their largest business challenges</li><li>
Assist Machine Learning Engineers in the development of SDKs for rapid prototyping and deployment of algorithms</li><li>
Build robust experimentation algorithms to continually improve existing algorithms</li></ul><br>
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Qualifications:</b><br>
<ul><li>
Bachelor's degree in Statistics, Mathematics, Economics; Master's Degree preferred</li><li>
3+ years of applied Data Science experience</li><li>
2+ years of experience deploying, scaling, and continually improving algorithms</li><li>
Broad industry experience with ML/AI/GenAI and commonly used statistical methods</li><li>
Expert recommender systems and personalization algorithms</li><li>
Expert hands-on knowledge of current AI/GenAI solutions</li><li>
Fluent knowledge and experience with using LLMs</li><li>
Above 95th percentile coding ability in Python and PySpark</li><li>
Deep understanding of, and experience applying, the following ML concepts:<ul><li>
Collaborative filtering</li><li>
Linear and scalar algebra</li><li>
Association rule mining</li><li>
Ranking algorithms</li><li>
Advanced regression, classification, clustering, and time series algorithms</li><li>
Automated hyperparameter tuning and model selection</li><li>
Causal inference modeling at scale for algorithm testing and evaluation</li><li>
Deep learning at scale for NLP</li></ul></li></ul><br>
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Preferred Qualifications:</b><br>
<ul><li>
Experience with advanced search concepts using deep learning #DICEJobs #LI-hybrid #LI-SS1</li></ul><br>
NC Salary Range: $75,040 - $112,560
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IL/MA Salary Range: $86,320 - $129,480
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<b>All ADUSA job offers take multiple factors into consideration including, but not limited to salary range, internal equity, a candidate's qualifications, geographic region, job-related knowledge and skills.
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<b>This position is eligible for an incentive bonus based on company performance as provided by the plan terms and governing documents.</b><br>
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At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.<br>
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Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.<br>
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Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.<br>
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We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Data Scientist

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Overview</b></p><p>
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.</p><p>
The A&amp;BC organization is looking to grow its Clinical Data Science &amp; AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S. In this role you will be tasked with activating CVS Health&rsquo;s clinical data repository to improve outcomes across multiple lines of business and use cases. As a Principal Data Scientist, you will&hellip;</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li><p>
be a subject matter expertise in clinical data, specifically from EHRs and HIEs, and how to apply it to solve healthcare problems.</p></li><li><p>
lead decision scientists, data engineers, and product owners to design and implement analytics solution.</p></li><li><p>
foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement.</p></li><li><p>
identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset.</p></li><li><p>
develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.</p></li><li><p>
build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes.</p></li><li><p>
provide thought leadership in the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.</p></li><li><p>
explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.</p></li><li><p>
develop end-to-end analytics solutions, from developing problem statements to deployments into production.</p></li><li><p>
translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.</p></li><li><p>
create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions.</p></li><li><p>
develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.</p></li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li><p>
10+ years of relevant experience, including:</p></li><li><p>
Experience solving analytics problems in the healthcare domain using clinical data.</p></li><li><p>
Experience with HL7 FHIR and Clinical Document Architecture specifications.</p></li><li><p>
Experience with OHDSI OMOP Common Data Model.</p></li><li><p>
Experience with clinical ontologies like SNOMED, LOINC, ICD-10, RxNorm, CPT-4, HCPCS, etc..</p></li><li><p>
Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.</p></li><li><p>
Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions.</p></li><li><p>
Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</p></li><li><p>
Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.</p></li><li><p>
Proven track record of implementing cutting-edge AI solutions in a deadline driven, value oriented environment.</p></li><li><p>
Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.</p></li></ul><p></p><p><b>
Education Requirements</b></p><p>
Bachelor&rsquo;s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.</p><p>
Master&rsquo;s or Doctorate degree preferred.</p><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$144,200.00 - $288,400.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 12/31/2025<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Principal Data Scientist (Clinical Informatics)

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
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Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p>
Job Description</p><p>
United Airlines, Inc. has multiple openings for Sr. Data Scientists - Operations Research in Chicago, IL. Develop the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages. Provide ongoing analytical services to client organizations. Build and develop operations research/optimization mathematical models and provide client support. Leverage understanding of the business process to identify and implement solutions that will result in significant bottom-line contributions. Participate in model design, prototype, and model development for several efforts that occur simultaneously and interface with product delivery groups. Identify, research, or solve large complex problems using big data, operations research, and machine learning principals. Design analytic plan/develop hypotheses to test and understand limitations of analysis (what it can and cannot be used for). Understand the intuition behind the numbers (i.e., does it make sense?). Keep informed about the latest analytical methods and research. Communicate results to management and clients. Contribute deck content and build the story for the deck with guidance to summarize findings. Raise concerns when scope of analysis may not align with time available and choose an appropriate scope of analysis to conduct balancing ROI to time available. Identify solution quality risks and on-time risks. Understand the business value, process, and expectations before focusing on choice of a technical solution. Anticipate working team questions to data and approach. Develop and deliver presentations aligned with Analytics and Innovation department standards. Telecommuting permitted from anywhere in the U.S. Required to work in the office, 233 S Wacker Dr, Chicago, IL 60606, at least 3 days per quarter. Expenses for accommodation and travel are the employee&rsquo;s responsibility; if living in a location served by United then company benefits to travel to Chicago may be available but are not guaranteed.</p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p>
Job Requirements</p><p>
PhD degree, ABD, or dissertation in Operations Research, Industrial Engineering, or related field.</p><p>
Must have academic or work experience in:</p><ul><li>At least 3 of the following mathematical programming techniques: Linear Programming (LP), Non-Linear Programming (NLP), Integer Programming (IP), and Mixed Integer Programming (MIP);</li><li>Model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL;</li><li>C, C++, Java, R, Python, or other structured programming language;</li><li>Decomposition techniques including Bender&rsquo;s and Lagrangean decomposition, algorithms including column generation, gradient descent, and branch and price, and transformation of nonlinear programs;</li><li>Handling large data sets (more than 100,000 elements) for use in operations research problems; and</li><li>Developing heuristic algorithms to solve operations research problems.</li></ul><p>
The base pay range for this role is $121,000.00 to $151,000.00.<br>
The base salary range/hourly rate listed is dependent on job-related factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.</p><p>
Any interested applicant may apply though this site.</p><br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.<br>
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We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.</div>

Senior Data Scientist - Operations Research

Arrive Logistics

<div><div><b>Who We Are</b></div><div>
Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We&rsquo;re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!</div><div></div><div><b><br>
Who We Want</b></div><div>
We are seeking a motivated and enthusiastic Data Science Intern to join our team. The Data Science intern collaborates with team members to build models, conduct tests, analyze data, and productionalize our ideas. The ideal candidate is eager to learn, has a strong analytical mindset, and is proficient in programming and statistical analysis.</div>
<h3 class="jobSectionHeader"><b>What You&rsquo;ll Do</b></h3><ul><li>
Develop an understanding of the logistics industry as well as Arrive&rsquo;s core business functions and processes</li><li>
Work closely with data scientists to develop models, analytic solutions, and statistical analysis</li><li>
Work with data scientists and engineering to perform model testing and then put models and solutions into production</li><li>
Collaborate with data scientists to document models, monitor performance, and perform ongoing support for existing models</li><li>
Prepare, clean, and wrangle large data sets</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering)</li><li>
Solid knowledge of statistics, mathematics, and computer science</li><li>
Experience with Python, R, or other statistical programming language</li><li>
Experience evaluating, fitting, and interpreting results of common data science models</li><li>
Focus on impact, agility, learning, openness, togetherness, independence, humility, and responsibility</li><li>
Strong written &amp; oral communication skills and an ability to present effectively to stakeholders of all levels</li><li>
Interested in staying abreast of emerging data science research and trends and continuously upskilling your capabilities as new methods and techniques are developed</li><li>
Experience with an Agile development methodology is a plus</li><li>
Experience formulating and solving optimization problems is a plus</li><li>
Experience working in cloud environments is a plus</li><li>
Experience in the Logistics or Transportation Industry is a major plus.</li></ul><h3 class="jobSectionHeader"><b>
The Perks of Working With Us</b></h3><ul><li>
Build relationships and take part in learning opportunities through our Employee Resource Groups.</li><li>
Enjoy office wide engagement activities, team events, happy hours and more!</li><li>
Leave the suit and tie at home; our dress code is casual.</li><li>
Work in the heart of downtown Chicago, IL!</li><li>
Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.</li><li>
Maximize your wellness with free counseling sessions through our Employee Assistance Program</li><li>
Get paid to work with your friends through our Referral Program!</li></ul><div><b>
Your Arrive Experience</b></div><div>
When we say &ldquo;award-winning culture,&rdquo; we mean it. We&rsquo;ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we&rsquo;re not in it for the trophies. We&rsquo;re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive&rsquo;s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.</div><div></div><div><b><i><br>
Notice:</i></b></div><div><i>
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.</i></div></div>

Data Science Intern

Wells Enterprises, Inc.

<div><p>The R&amp;D Scientist IV develops and implements R&amp;D plans and strategies in support of company objectives.<br>
</p><p></p><p>Responsibilities Include:
</p><ul><li><p>Develops and implements R&amp;D plans and strategies in support of company objectives.
</p></li><li><p>Directs and develops communication involving project needs, status updates and technical advice to all stakeholders in order to promote more efficient and effective deliverables.
</p></li><li><p>Recommends opportunities and solutions for process improvements.
</p></li><li><p>Responsible for leading the teams&rsquo; understanding and application of knowledge of ingredients, products and frozen dessert manufacturing processes for the completion of projects.
</p></li><li><p>Recommends opportunities and solutions for process improvements.
</p></li><li><p>Acts as a mentor and subject matter expert to the less experienced developers in terms of technical guidance and project management.
</p></li><li><p>Uses objectivity on project work by practicing the scientific method of defining the question, gathering and recording information, forming a hypothesis, performing experiment, analyzing data, interpreting data and drawing conclusions.
</p></li><li><p>Influences and leads the application of learnings, creativity and technical knowledge to add value through innovation.
</p></li><li><p>Facilitates activities necessary to take more complex and innovative projects from conceptualization through commercialization working with project constraints of time, target and budget.
</p></li><li><p>Ensures NPD adherence and that the process follows the critical paths.
</p></li><li><p>Collaborates cross-functionally to ensure safety, quality and legality of products manufactured is maintained.
</p></li><li><p>Work site is located in Chicago, Illinois with the option to work from home a few days per week.</p></li></ul></div>
<br><div><ul><li><p>Bachelor&rsquo;s degree or foreign equivalent in Food/Dairy Science, Chemical Engineering, or related field
</p></li><li><p>6 years of experience as a R&amp;D Scientist IV, Research Scientist, Scientist, or similar duties under a different job title.
</p></li><li><p>6 years of experience in the following:
</p><ul><li><div>Working in the food industry to develop new ingredients for use in food and/or beverage products;
</div></li><li><div>Developing and implementing R&amp;D plans and strategies for new food products from conceptualization to commercialization;
</div></li><li><div>Providing technical direction to all stakeholders on projects;
</div></li><li><div>Practicing the scientific method including defining the question, gathering and recording information, forming a hypothesis, performing experiments, analyzing data, interpreting data, and drawing conclusions.
</div></li></ul></li><li><p>3 years of experience in the following:
</p><ul><li><div>Collaborating cross-functionally to design and plan pilot and commercial scale trials to launch new ingredients ensuring final product meets all safety, quality, and regulatory compliance requirements;
</div></li><li><div>Leading new product development and process optimization projects through a stage-gate process;
</div></li><li><div>Designing and executing experiments to create and optimize product prototypes at bench scale;
</div></li><li><div>Conducting ingredient characterization to determine end use application, including evaluating ingredient performance in specific categories to prove commercial feasibility;
</div></li><li><div>Defining key process parameters and product specifications to ensure consistent, in-spec commercial production trials; and
</div></li><li><div>Analyzing manufacturing data to troubleshoot process issues, improve yields, and reduce cost of manufacturing.<br>
</div></li></ul></li></ul><p></p><p>The pay range for this position is $119,309 to $131,544 annually. This pay range represents the anticipated salary for this position at this time.
</p><p>Wells Enterprises is an EEO/AA employer M/F/Vet/Dis</p></div><p></p>

R&D Scientist IV - Chicago, IL, United States

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Data Engineer with Snowflake<br>
<b>Location:</b> Chicago, IL (Onsite)<br>
<b>Contract</b></div><div></div><div><b><br>
Job Description:</b></div><div>
We are seeking an experienced <b>Data Engineer with strong Snowflake expertise</b> to join our growing data engineering team. The ideal candidate will have hands-on experience in designing, developing, and optimizing data pipelines and warehousing solutions on Snowflake.</div><div></div><div><b><br>
Responsibilities:</b></div><div>
Design, develop, and maintain scalable <b>ETL/ELT pipelines</b> using <b>Snowflake</b> and modern data integration tools (e.g., <b>Matillion, DBT, Airflow</b>).</div><div>
Work with cross-functional teams to understand business requirements and translate them into robust data solutions.</div><div>
Implement <b>data modeling</b>, <b>data quality</b>, and <b>data governance</b> best practices.</div><div>
Optimize <b>Snowflake performance</b>, including query tuning, clustering, and warehouse sizing.</div><div>
Collaborate with data scientists, analysts, and other stakeholders to ensure reliable data delivery.</div><div>
Integrate data from multiple sources (structured and unstructured) into the Snowflake platform.</div><div>
Support and automate data ingestion processes using <b>Python</b>, <b>SQL</b>, or <b>AWS Glue</b>.</div><div>
Monitor and troubleshoot data workflows to ensure data accuracy and availability.</div><div></div><div><b><br>
Required Skills:</b></div><div><b>
10+ years</b> of experience as a Data Engineer.</div><div><b>
7+ years</b> of hands-on experience with <b>Snowflake</b> (data warehousing, performance tuning, and security).</div><div>
Strong <b>SQL</b> and <b>Python</b> skills.</div><div>
Experience with <b>ETL/ELT tools</b> such as <b>Matillion</b>, <b>Informatica</b>, <b>DBT</b>, or <b>Talend</b>.</div><div>
Proficiency in <b>AWS</b> (S3, Lambda, Glue, Redshift, etc.) or Azure cloud data services.</div><div>
Experience with <b>data modeling (Kimball/Inmon)</b> and building <b>star/snowflake schemas</b>.</div><p>
Familiarity with <b>CI/CD pipelines</b>, <b>Git</b>, and <b>Agile methodologies</b>.</p><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Data Engineer with Snowflake-2

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

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