The Moda health Data Scientist interview guide, interview questions, salary data, and interview experiences.

Moda health Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Moda health? The Moda health Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Moda health Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Moda health.</li>
<li>Practice real Moda health Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Moda health Data Scientist interview.


Getting ready for an Data Scientist interview at Moda health? The Moda health Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Moda health Data Scientist roles.
- Gain insights into the Data Scientist interview process at Moda health.
- Practice real Moda health Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Moda health Data Scientist interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Moda health Data Scientist Interview Process

Let’s say you are designing a marketplace for your website.

Selling firearms is prohibited by your website’s Terms of Service Agreement (not to mention the laws of your country). To this end, you want to create a system that can automatically detect if a listing on the marketplace is selling a gun.

How would you go about doing this?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

Detecting Firearm Sales

How would you build a model to detect if a post on a marketplace is talking about selling a gun?

Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no index where this condition is satisfied return -1.

Note: the number that lies on the index is calculated to the left side of the list.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1, 7, 3, 5, 6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; 2
</code></pre>

In this example, the sum of the elements to the left of index 2 (1 + 7) is equal to the sum of the elements to the right of index 2 (5 + 6).

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1,3,5]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; -1
</code></pre>

In this example, there is no index where the sum of the elements to the left is equal to the sum of the elements to the right.

The task is to write a function that takes a list of integers as input and returns the index at which the sum of the integers to the left of the index is equal to the sum of the integers to the right. If no such index exists, the function should return -1.

Find the Index with Equal Left and Right Sum

You are given an array of numerical values, bootstrap samples, and size for a confidence interval.

Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.

Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.

Example

Input:

<pre tabindex="0" class="chroma"><code>values = [1, 2, 3, 4, 5]
</code></pre>

Output

<pre tabindex="0" class="chroma"><code>bootstrap_conf_interval(values, 1000, 0.95) -&gt; (1.2, 4.8)
</code></pre>

In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.

Note: Results may vary due to the randomness of bootstrap sampling.

Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

Moda health Data Scientist Interview Questions

Let’s do great things, together!

About Moda

Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.

Job Summary

This Software Engineer position will be responsible for designing, coding, testing, implementing and maintaining BI reports and dashboards. A successful candidate must have strong capabilities with the Microsoft reporting suite, SQL Server and related back-end technologies. Experience ingesting and modeling data from a wide variety of sources is expected.  This is a FT WFH position.

Pay Range

$43.75 - $56.87 (depending on experience).

Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.

Please fill out an application on our company page, linked below, to be considered for this position.

https://j.brt.mv/jb.do?reqGK=27754611&refresh=true

Benefits

Medical, Dental, Vision, Pharmacy, Life, & Disability
401K- Matching
FSA
Employee Assistance Program
PTO and Company Paid Holidays

Primary Functions

Develop new reports, dashboards and apps using Power BI (both cloud and on-premises).
Design and develop new stored procedures and systems as part of the implementation of new business requirements
Maintain detailed technical documentation and create release notes for new features
Work with project managers, team members, and business analysts to define requirements for enterprise applications and reporting solutions
Implement and test designs for accuracy and performance tuning
Maintain confidentiality and project a professional business image
Participate in 24x7 on-call rotation
Perform other duties as assigned

Required Skills & Experience

Bachelor’s degree in a relevant field (Computer Science, Software Engineering, Information Services, or similar) with 3+ years’ experience; or 7+ years of relevant programming experience
Minimum 4 years of experience creating reports and dashboards using Power BI and PBIRS
Strong interpersonal communication skills needed
Strong analytical, problem solving, decision making, organizational, and detail orientation skills
Ability to work well under pressure and all projects, both large and small, work with frequent interruptions, and shifting priorities. Must be well versed with SDLC methodologies
Ability to come into work on time and daily
Experience working with Dev Ops strongly preferred
Experience in health insurance, Cognizant/Trizetto Facets is a plus

Contact With Others & Working Conditions

Internally with supported departments. Externally with software vendors, customers, and technical staff from groups and state agencies
On-call status, office environment with extensive close PC and keyboard work, constant sitting, and phone work. Must be able to navigate multiple screens. Work in excess of 40 hours per week, including evenings and occasional weekends, to meet business need.

Together, we can be more. We can be better.

Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.

For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.
#J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div>Position Purpose:The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group.Essential Duties and Responsibilities:<ul><li>Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data.</li><li>Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning.</li><li>Maintains operational capabilities of computation assets as needed by project requirements.</li><li>Leads meetings with company clients by preparing and presenting meeting materials in meetings.</li><li>Appropriately annotates project developed computer code through comments and user manuals.</li><li>Presents technical results through the drafting of technical reports. </li><li>Presents experimental results and recommended actions at internal project meetings.</li><li>Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems.</li><li>Other duties as assigned.</li></ul>Required Knowledge, Skills & Abilities:<ul><li>Ability to plan sequence of experiments to answer complicated technical questions</li><li>Ability to lead group of co-workers in execution of a task</li><li>Software programming proficiency with Java, C, R, Python, and/or MATLAB</li><li>Working knowledge of statistics as it applies to scientific data</li><li>Ability to communicate technical information to non-technical audiences</li><li>Team player with a positive attitude</li><li>Department of Homeland Security Suitability</li><li>Department of Defense Secret Clearance</li><li>Working knowledge of software development practices including Agile development and Git version control</li><li>Sufficient business knowledge to support proposal efforts</li></ul> Education/Experience:Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development.Certificates and Licenses: None Clearance: The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position.Supervisory Responsibilities: The incumbent professional may oversee junior level staff members performing tasks.Working Conditions/ Equipment: The incumbent professional is expected to work and/or be available during regular business hours. He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies. He/she may be required to travel on behalf of the company up to 25%.The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor. Powered by ExactHire:160573</div></div>

LeverageTek is actively seeking an AI Simulation Developer - Health System Capacity Planning for a 7-month contract with its Ottawa based client. Work LocationThis position can be done 100% remote across Canada Security Clearance:None Key Tasks <ul><li>Design, build, and maintain detailed individual-level microsimulation models that represent patient trajectories through long-term care (LTC) and other health service settings.</li><li>Utilize open-source simulation frameworks such as SimPy, Mesa, simpyLC (Python), OpenM++, SimYouLate, and SimPaths (R) to implement discrete-event, agent-based, or hybrid simulation models.</li><li>Integrate demographic, health status, equity stratifiers, and care pathway data to accurately model the life-course transitions of older adults across home care, community care, inpatient, and institutional LTC settings.</li><li>Apply rigorous model validation, calibration, and sensitivity analysis methods to ensure internal validity and alignment with policy needs.</li><li>Collaborate closely with interdisciplinary teams of researchers, data scientists, clinicians, and policy analysts to maintain real-world relevance and policy applicability of simulation models.</li><li>Conduct comprehensive scenario analyses to assess the impact of alternative policies, programs, or resource allocation strategies related to seniors’ home care or LTC.</li><li>Clearly communicate model assumptions, limitations, and outcomes to diverse audiences, both technical and non-technical.</li><li>Translate simulation results into actionable insights through well-crafted visualizations, reports, and stakeholder briefings.</li><li>Maintain thorough documentation and version control for model architecture, parameters, and codebase.</li></ul> Key Qualifications:<ul><li>Proven experience with AWS cloud infrastructure components, including:</li><li>Cassandra (NoSQL), PostgreSQL, Redshift, Identity and Access Management (IAM), EC2, Virtual Private Cloud (VPC), CloudFormation, Elastic Load Balancing, EC2 Auto Scaling, RDS/Aurora, CLI, CloudWatch, and S3.</li><li>5+ years of application development experience using:</li><li>.NET, Ajax, Bamboo, GitLab, C#, and containerization technologies (Docker with AWS ECS and AWS ECR).</li><li>Familiarity with database platforms including:</li><li>Tableau, UNIX shell (Korn) scripting, MS SQL Server, MySQL, Oracle RDBMS, and MongoDB.</li></ul> Qualifications:<ul><li>Strong background in AI, simulation modeling, and health systems analytics.</li><li>Experience developing microsimulation or agent-based models in healthcare settings preferred.</li><li>Ability to work independently and collaboratively in a fast-paced, interdisciplinary environment.</li><li>Excellent communication skills for translating complex technical concepts into clear insights for stakeholders.</li></ul> About LeverageTek Staffing Solutions Founded in 2003, LeverageTek provides end-to-end, cross-functional staffing solutions throughout North America. We are a trusted partner to leading private and public sector organizations and experts in talent solutions that create optimal business outcomes. Don’t let our name fool you. Our roots are in technology, but we are also a proven leader in accounting and finance, sales and marketing, human resources, supply chain, and legal talent acquisition. We offer contract and permanent staffing, executive search, talent mapping, management consultancy, and contractor payroll management. LeverageTek is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our customers, the candidates we represent, and the diverse communities we call home. We do all of this with kindness, empathy, and respect for each other. LeverageTek is committed to employment equity and creating a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, religion, gender, national origin, age, disability, and marital status. Accessibility accommodations are available upon request

Job Title: Data ScientistLocation: London, UK (Hybrid)Job Type: Permanent Job Description:Experience: Minimum of 8+ years.Skilled Required:<ul><li>LLM, RAG, Finetuning, NLP, Text Summarisation, ML, Feature Engineering</li><li>Llamaindex, LangChain, LangSmith</li><li>Vector DB, Vector Search, FAISS</li><li>Embeddings</li><li>Experience with OCR, layout models</li><li>PDF and text file parsing, along with various other file types</li><li>Experience with REST API</li></ul>

Data Engineer Location: Hybrid (Belfast-based) | Full-time | Career development opportunityWe're looking for a motivated Data Engineer to join a dynamic and supportive team working on enterprise-scale data solutions. This is an ideal role for someone with a strong foundation in SQL and Python, and a passion for building data pipelines, working with cloud technologies, and transforming raw data into actionable insights.You'll collaborate closely with experienced engineers and cross-functional teams to integrate, model, and maintain large datasets from multiple sources, ensuring data quality and reliability. You'll be involved in designing and optimising data workflows, supporting analytical and reporting initiatives, and contributing to the ongoing development of our modern data infrastructure.This is a hands-on role where you'll learn fast, take ownership of tasks, and help bring clarity to business decisions through high-quality, well-documented data processes. What you'll do:<ul><li>Develop and maintain ETL/ELT pipelines and data models</li><li>Support testing, validation, and optimisation of data processes</li><li>Work with cloud technologies (Azure preferred) and modern DevOps tools</li><li>Collaborate with business stakeholders to understand data needs</li><li>Create technical documentation to support transparency and knowledge sharing</li></ul>What you'll bring:<ul><li>Degree or equivalent in Computer Science or related discipline</li><li>Solid understanding of relational databases and SQL</li><li>Familiarity with Python and data warehousing concepts</li><li>A strong analytical mindset and eagerness to learn</li><li>Exposure to Azure or similar cloud platforms is desirable</li><li>Excellent communication and problem-solving skills </li></ul>This is a fantastic opportunity to kickstart your data engineering career in a highly supportive and forward-thinking environment. To speak in absolute confidence about this opportunity please contact Jess Ritchie, IT Recruitment Consultant at MCS Group 028 95685491 or click the apply button below.If this position is not right for you, we may have others that are. Please visit MCS Group www.mcsgroup.jobs to view a wide selection of our current jobs or give us a call 028 9023 5456.All conversations will be treated in the strictest of confidence. MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request.

Job Title: Data Scientist – Machine Learning | SaaS Client Location: UK-based (Hybrid – London) Employment Type: Full-time Experience Level: Mid to Senior About the Opportunity:We're supporting a high-growth SaaS company that operates in a data-intensive, real-time environment. Their platform addresses challenges in digital integrity and performance, helping clients make smarter, cleaner decisions with their online activity. As they continue scaling, they’re looking to hire a Data Scientist with strong machine learning expertise to develop systems that detect anomalous behaviours and patterns across vast streams of traffic data. This is a highly impactful role for someone who enjoys applying ML in fast-moving, production-grade settings. Key Responsibilities:<ul><li>Build and deploy scalable ML models for identifying unwanted traffic behaviour</li><li>Prototype new approaches to adapt to evolving signals and threat vectors</li><li>Monitor, evaluate and improve model performance over time (drift, latency, etc.)</li><li>Work closely with engineering and product teams to integrate data science into core product features</li><li>Contribute to a collaborative team culture focused on technical excellence and real-world results</li><li>Stay informed on new techniques and research relevant to detection, classification and real-time ML systems</li></ul> Ideal Background:<ul><li>Hands-on experience building and maintaining machine learning models in production</li><li>Strong skills in Python, SQL, and modern cloud environments (AWS preferred)</li><li>Experience with services like SageMaker, Lambda, or real-time processing tools</li><li>Understanding of MLOps, versioning, and model monitoring best practices</li><li>Practical mindset with the ability to balance technical depth with speed of delivery</li><li>Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection</li></ul> Why This Role?<ul><li>Work at the intersection of real-time data, machine learning, and product innovation</li><li>Join a lean and collaborative team where data science is central to decision-making</li><li>Flexible working culture and strong emphasis on autonomy and ownership</li><li>Competitive compensation, benefits, and career progression opportunities</li></ul>

#ABOUTUSGlobal Citizen Solutions is an international consulting firm Portugal-based, focused on Global Mobility and second citizenship solutions. Our core business is advisory and support individuals and families to gain more freedom and flexibility through global mobility, investment opportunities, and tailored citizenship programs. #ABOUTTHEROLEAs our Data Scientist for AI Solutions & Business Intelligence, you will be the catalyst for our firm's data transformation. You'll empower every department - from legal teams to operations - to harness the power of AI and make context-driven decisions. Working at the intersection of legal expertise and advanced analytics, you'll build solutions that enhance decision-making, automate complex processes, and uncover insights that drive our business forward. #ABOUTTHEJOBAI Strategy & Implementation<ul><li>Develop and execute an AI roadmap aligned with firm objectives in immigration and real estate law.</li><li>Identify high-impact opportunities for AI implementation across all departments.</li><li>Build proof-of-concepts and pilot programs to demonstrate AI value in legal contexts.</li><li>Stay current with cutting-edge AI developments and assess their applicability to legal services.</li></ul> Department Empowerment & Enablement<ul><li>Partner with legal teams to implement AI-powered document analysis and contract review tools.</li><li>Collaborate with operations to create predictive models for case timelines and resource allocation.</li><li>Work with finance to develop forecasting models and anomaly detection systems.</li><li>Support HR in implementing AI-driven talent analytics and recruitment optimization.</li><li>Enable marketing with client segmentation and predictive analytics capabilities.</li></ul> Data Infrastructure & Governance<ul><li>Design and implement data architecture that supports real-time analytics and AI applications.</li><li>Establish data governance frameworks ensuring compliance with legal industry regulations.</li><li>Create data pipelines that integrate internal systems with external data sources.</li><li>Develop data quality monitoring and improvement processes.</li></ul> Domain-Specific AI Solutions<ul><li>Build NLP models to analyze immigration case law and predict application outcomes.</li><li>Develop computer vision solutions for document verification in real estate transactions.</li><li>Create recommendation engines for legal strategy based on historical case data.</li><li>Implement multilingual text analytics to serve diverse immigration clientele.</li><li>Design anomaly detection systems for compliance and risk management.</li></ul> Business Intelligence & Analytics<ul><li>Develop interactive dashboards providing real-time insights on firm performance.</li><li>Create predictive models for client acquisition, retention, and lifetime value.</li><li>Build analytical tools that help attorneys make data-driven case strategy decisions.</li><li>Implement automated reporting systems for key business metrics.</li></ul> Innovation & Knowledge Transfer<ul><li>Conduct workshops to upskill team members in data literacy and AI fundamentals.</li><li>Create self-service analytics tools that empower non-technical users.</li><li>Document best practices and build reusable AI components.</li><li>Foster a data-driven culture throughout the organization.</li></ul> #ABOUTYOU<ul><li>Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred).</li><li>3-5 years of experience in data science or machine learning roles.</li><li>Proven track record of implementing AI solutions in business contexts.</li><li>Experience working with unstructured data and text analytics.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Expertise in NLP techniques and libraries (spaCy, NLTK, Transformers).</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and their AI services.</li><li>Experience with data visualization tools (Tableau, Power BI, or similar).</li><li>Understanding of MLOps practices and model deployment.</li><li>Ability to translate complex technical concepts to non-technical stakeholders.</li><li>Experience with compliance and regulatory requirements in data handling.</li><li>Understanding of business metrics and KPIs.</li><li>Strong project management and prioritization skills.</li><li>Self-motivated with entrepreneurial mindset.</li><li>Passionate about democratizing AI across organizations.</li><li>Collaborative approach to problem-solving.</li><li>Strong ethical compass regarding AI and data use.</li><li>Resilient and adaptable in ambiguous situations.</li><li>Natural teacher who enjoys empowering others.</li></ul> Preferred Qualifications<ul><li>Experience in legal technology, professional services, or regulated industries.</li><li>Knowledge of immigration law processes or real estate transactions.</li><li>Familiarity with legal document structures and terminology.</li><li>Experience with OCR and document intelligence technologies.</li><li>Understanding of explainable AI and bias detection techniques.</li><li>Publications or contributions to open-source AI projects.</li><li>Experience with graph databases and network analysis.</li><li>Multilingual NLP experience.</li></ul> #OUROFFER<ul><li>Competitive compensation in accordance with experience but above current market average.</li><li>Join a network of professionals in a multinational environment working with cross-country programs and solutions.</li><li>Fast-paced, highly structured and dynamic business environment.</li><li>Training and support for personal and professional development.</li><li>Flexibility in the rendering of services applies, provided deliverables and deadlines are met.</li><li>Opportunities to grow your career in a new and expanding field.</li></ul>

Ready to Shape the Future of Data Science in a Global Consumer Brand?
A major player in the Quick Service Restaurant (QSR) space is building a next-generation data science capability—and is looking for a Senior Data Scientist to be at the forefront. This is a unique opportunity to drive high-impact analytics in a brand recognized worldwide, working on cutting-edge models with real-world impact seen across thousands of locations.
About the Company
Backed by a world-class private equity firm, the company is undergoing a data-driven transformation to unlock smarter decision-making and optimize restaurant performance globally. With millions of transactions daily, there's no shortage of data—nor ambition. The Strategy & Analytics team is lean, collaborative, and fast-moving, with strong executive support and a mandate to build from the ground up.
About the Role
The Senior Data Scientist will help close a technical gap on the team and will play a pivotal role in building and productionalizing models that influence customer strategy, restaurant operations, and business performance. This is a net-new position created due to growth, offering a high level of ownership, visibility, and long-term leadership potential.
The role is based in Miami, FL , with a hybrid structure (typically onsite 4x / week, Fridays remote), and will report to the Senior Director of Strategy & Analytics.
Key Responsibilities
Productionalize and scale predictive models in the company's ecosystem (e.g., traffic, customer performance, segmentation)
Lead marketing analytics initiatives under a new CMO, including customer segmentation and value modeling
Work closely with IT teams to ensure successful model deployment using AWS (especially SageMaker)
Collaborate cross-functionally across departments, including HQ and international teams
Present insights and model outputs clearly to senior leadership and non-technical stakeholders
Help lay the groundwork for future data science talent and best practices
Skills & Experience You'll Need
6–10+ years of hands-on data science experience, ideally in QSR, retail, or consumer product industries
Strong fluency in Python and SQL
Proven ability to independently build, deploy, and monitor models in AWS (preferably SageMaker)
Strong understanding of A / B testing and causal inference
Comfortable using GitHub and version control tools
Excellent communicator with executive presence and the ability to push back with data
Self-starter who thrives in fast-paced, evolving environments
Bachelor's or Master's degree preferred; PhD acceptable if not overly research-focused
Bonus : Experience in Go or Scala, marketing mix modeling
What Makes This Role Special
Greenfield opportunity
Help build a new data science capability from scratch
Rich 1st and 3rd party datasets to experiment and drive value
See your work deployed and implemented globally
Strong backing
Supported by a top-tier private equity firm focused on growth
Collaborative culture
Join a small, high-functioning team with a diverse set of backgrounds
Compensation
Base salary up to $190,000
Annual bonus of 20%
Relocation considered with lump sum package (local candidates preferred)
TN visa sponsorship available (no broad sponsorship)
Location : Miami, FL (Onsite 4x / week)
Interested in using data to drive global impact across thousands of locations? This could be the opportunity to make your mark.
Create a job alert for this search  Senior Data Scientist • Fort Lauderdale, FL, US

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Senior Data Scientistx2 days a week in office Xcede is thrilled to be partnering with one of the world's leading tech companies as they expand their Data Science team. With millions of customers using their products daily, data is at the heart of everything they do. The Head of Data, a highly skilled Data Scientist with a track record of building exceptional teams, is now focused on assembling another world-class group of experts. As part of this expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage. Responsibilities <ul><li>Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.</li><li>Build relevant statistical / machine learning models-related projects.</li><li>Build RecSys / Recommendation Engines / Recommender Systems / Recommendation Systems</li><li>Communicate findings effectively to stakeholders to encourage adoption.</li></ul> Requirements <ul><li>A STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).</li><li>Excellent Python skills.</li><li>Strong Machine Learning & Statistical knowledge</li><li>Commercial Recommendation Engine experience</li><li>Software Development best practice approach (CI/CD experience, etc.)</li><li>Graph Neural Networks / Knowledge Graph experience.</li></ul> If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

About Us: At Captivue.ai and Hrontips.com, we don't just talk about AI - we reinvent it. From RAG model training to deploying real-world AI solutions, we're building the future, one breakthrough at a time. If you're tired of corporate monotony and want to work with a team that moves fast, breaks things, and actually innovates, this is your playground.Oh, and here's the fun part - you'll be applying through Captivue, our AI-powered interview platform. No boring HR screenings, just smart, tech-driven hiring. (Yes, we practice what we preach.) What You'll Do: ???? Build, fine-tune, and deploy RAG-based AI models that solve real problems???? Experiment with cutting-edge NLP, LLMs (Llama, GPT, Mistral), and vector databases???? Crunch data, optimize performance, and make AI models smarter, faster, and more intuitive???? Work alongside a high-energy team that values hustle over hierarchy???? Push boundaries - because "good enough" isn't in our vocabulary Who You Are: ✅ BTech degree in Computer Science, Data Science, or related technical field✅ 1-3 years of hands-on experience in ML/NLP, Python, and deep learning (PyTorch/TensorFlow)✅ Worked with RAG architectures, LLM fine-tuning, or generative AI - bonus if you've tinkered with LangChain, Pinecone, or similar✅ A curious, problem-solving mindset - you don't just follow tutorials, you build beyond them✅ No corporate zombies - we want thinkers, experimenters, and doers✅ Excited about AI's real-world impact (not just publishing papers) Why Join? ✨ Zero bureaucracy - your ideas get implemented, not stuck in meetings✨ Work on bleeding-edge AI - no legacy tech, no slow-moving projects✨ Get evaluated by our AI platform (Captivue) - fair, fast, and bias-free hiring✨ Flexible, high-energy culture - we reward creativity, not just tenure Ready to Skip the HR Hassle? Apply with confidence, our AI interview platform will assess your skills, not your resume fluff. Show us what you've built, and let's change the future together

Moda health Data Scientist Interview Guide

Overview

Moda health Data Scientist Interview Process

Moda health Data Scientist Interview Questions

Moda health Data Scientist Jobs