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Mindrift

<div>
 <em>
  Please submit your CV in English and indicate your level of English proficiency.
  <br/>
  <br/>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 While each project involves unique tasks, contributors may:
 <br/>
 <br/>
 <ul>
  <li>
   Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
  </li>
  <li>
   Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
  </li>
  <li>
   Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  </li>
  <li>
   Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
  </li>
  <li>
   Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
  </li>
  <li>
   Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
  </li>
  <li>
   Design end-to-end problems spanning the complete data science pipeline (data ingestion &rarr; cleaning &rarr; EDA &rarr; modeling &rarr; validation &rarr; deployment considerations)
  </li>
  <li>
   Incorporate big data processing scenarios requiring scalable computational approaches
  </li>
  <li>
   Verify solutions using Python with standard data science libraries and statistical methods
  </li>
  <li>
   Document problem statements clearly with realistic business contexts and provide verified correct answers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of hands-on data science experience with proven business impact
  </li>
  <li>
   Portfolio of completed projects and publications showcasing real-world problem-solving
  </li>
  <li>
   Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  </li>
  <li>
   Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  </li>
  <li>
   Expert with SQL and database operations for data manipulation and analysis
  </li>
  <li>
   Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  </li>
  <li>
   Understanding of MLOps practices and model deployment workflows
  </li>
  <li>
   Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  </li>
  <li>
   Strong written English (C1+)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $90 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Data Scientist (Python & SQL) - Freelance AI Trainer

Data Engineer, Product Analytics

CrowdStrike

<div><div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We&rsquo;re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.</div><div></div><div><b>
About the Role:</b></div><div>
CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a leader of this practice, establishing vision and strategy, while ensuring cost efficiency continues beyond our FY27 Cost Reduction Program.</div><div></div><div><b>
This is a hybrid role based out of our office in New York City, NY,</b></div><div></div><div>
CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a key technical contributor in this practice, implementing cost optimization solutions and building the technical foundation for our cost management capabilities.</div><div></div><div><b><i>
PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.</i></b></div><div></div><div><b>
What You'll Do:</b></div><div><b>
Technical Implementation</b></div><ul><li><div>
Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms</div></li><li><div>
Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution</div></li><li><div>
Build integrations between cloud billing APIs and internal cost management systems</div></li><li><div>
Create technical documentation and best practices for cost-efficient infrastructure patterns</div></li><li><div>
Collaborate with platform teams to implement cost optimization recommendations</div></li></ul><div></div><div><b>
Engineering Excellence</b></div><ul><li><div>
Develop tooling and automation to support FinOps processes across fourteen product groups and eleven platform groups</div></li><li><div>
Build dashboards and reporting mechanisms for real-time cost visibility</div></li><li><div>
Implement cost guardrails and automated policies to prevent cost overruns</div></li><li><div>
Design scalable solutions for cost data collection, processing, and analysis</div></li><li><div>
Contribute to the TechOps Analytics Data Solution FinOps requirements</div></li></ul><div></div><div><b>
Cross-functional Collaboration</b></div><ul><li><div>
Partner with product engineering teams to identify and implement cost optimization opportunities</div></li><li><div>
Work closely with Infrastructure Foundations Program to align technical solutions with FY27 Cost Reduction Program</div></li><li><div>
Support FinOps Working Group with technical expertise and implementation guidance</div></li><li><div>
Collaborate with Data Analytics Team on cost data pipeline development</div></li><li><div>
Provide technical input for FinOps capability development roadmap</div></li></ul><div></div><div><b>
Continuous Improvement</b></div><ul><li><div>
Research and evaluate new cost optimization tools and techniques</div></li><li><div>
Contribute to FinOps governance structures and technical standards</div></li><li><div>
Mentor junior engineers on cost-conscious engineering practices</div></li><li><div>
Stay current with cloud platform pricing changes and optimization opportunities</div></li></ul><div></div><div><b>
What You'll Need:</b></div><div><b>
Required Qualifications</b></div><ul><li><div>
Bachelor's degree in Computer Science, Engineering, or related technical field</div></li><li><div>
5+ years of software engineering experience with focus on cloud infrastructure</div></li><li><div>
Strong programming skills in Python, Go, or similar languages</div></li><li><div>
Deep hands-on experience with cloud platforms (AWS, Azure, GCP) and their cost management tools</div></li><li><div>
Experience with infrastructure as code (Terraform, CloudFormation, etc.)</div></li><li><div>
Proficiency with monitoring and observability tools (Prometheus, Grafana, DataDog, etc.)</div></li><li><div>
Understanding of containerization and orchestration technologies (Docker, Kubernetes)</div></li><li><div>
Experience with CI/CD pipelines and DevOps practices</div></li></ul><div></div><div><b>
Preferred Qualifications:</b></div><ul><li><div>
FinOps Certified Practitioner certification (or commitment to obtain within 6 months)</div></li><li><div>
Experience in cybersecurity or SaaS industry</div></li><li><div>
Background with commitment-based discount programs (Reserved Instances, Savings Plans, CUDs)</div></li><li><div>
Experience with data pipeline development and ETL processes</div></li><li><div>
Familiarity with cost optimization tools (CloudHealth, Cloudability, etc.)</div></li><li><div>
Knowledge of database optimization and performance tuning</div></li></ul><div></div><div><b>
Key Competencies:</b></div><ul><li><div>
Strong analytical and problem-solving skills with attention to detail</div></li><li><div>
Ability to translate business requirements into technical solutions</div></li><li><div>
Excellent communication skills for collaborating with both technical and non-technical stakeholders</div></li><li><div>
Self-motivated with ability to work independently in an emerging practice area</div></li><li><div>
Passion for building efficient, scalable systems</div></li></ul><div></div><div>
#LI-LY1</div><div>
#HTF</div><div></div><div><b>
Benefits of Working at CrowdStrike:</b></div><ul><li><div>
Market leader in compensation and equity awards</div></li><li><div>
Comprehensive physical and mental wellness programs</div></li><li><div>
Competitive vacation and holidays for recharge</div></li><li><div>
Paid parental and adoption leaves</div></li><li><div>
Professional development opportunities for all employees regardless of level or role</div></li><li><div>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</div></li><li><div>
Vibrant office culture with world class amenities</div></li><li><div>
Great Place to Work Certified&trade; across the globe</div></li></ul><div><br>
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.</div><div></div><div>
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.</div><div></div><div>
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at <div>recruiting@crowdstrike.com</div> for further assistance.</div><div></div><div><div>
Find out more about your rights as an applicant.</div></div><div></div><div>
CrowdStrike participates in the E-Verify program.</div><div></div><div><div>
Notice of E-Verify Participation</div></div><div><div>
Right to Work</div></div><div></div>
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.<div></div><div>
For detailed information about the U.S. benefits package, please <div>click here</div>.</div></div><div></div>

Engineer III - Data Analytics (Hybrid)

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Data &amp; Analytics Federation
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10050103
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div>Bloomberg&rsquo;s Data &amp; Analytics Federation group enables content providers to expose a wide variety of data and analytics to any consumer application, ensuring the highest quality and reducing time to market. At the core of that mission is Calcrt, the single point of entry for the Bloomberg Terminal and Enterprise systems to retrieve any kind of data - serving over 400 billion requests a day.</div><div></div><div><br>
We own CalcrtX, a ground-up redesign that will redefine how data providers integrate with Calcrt. This moonshot project brings a modern, service-oriented architecture to one of Bloomberg&rsquo;s most critical systems, making it easier for data providers to deliver content at massive scale and higher reliability.</div><div></div><div><b><br>
Our team:</b></div>
<div>
We&rsquo;re the backbone of Bloomberg&rsquo;s data infrastructure, connecting applications to every type of content they need. Our work powers everything from market analytics to client dashboards. We design, build, and operate systems that must perform flawlessly at global scale.</div><div></div><div><br>
Our stack includes Modern C++, Python, BAS, Apache Arrow, and microservices-based async frameworks running on Linux.</div><div></div><div><b><br>
We'll trust you to:</b></div>
<ul><li>Shape the architecture and design of CalcrtX from the ground up.</li></ul>
<ul><li>Solve distributed systems problems at multi-billion-request-per-day scale.</li></ul>
<ul><li>Collaborate with dozens of teams across Engineering to redefine how data flows across Bloomberg.</li></ul>
<ul><li>Learn continuously through tech talks, study groups, and internal/external presentations.</li></ul>
<ul><li>Design and implement highly scalable, resilient microservices for CalcrtX.</li></ul>
<ul><li>Partner with data provider and client teams to streamline integration and performance.</li></ul>
<ul><li>Build tooling and frameworks that improve developer experience for hundreds of internal teams.</li></ul>
<ul><li>Ensure operational excellence, reliability, and observability across the new architecture.</li></ul>
<ul><li>Continuously optimize latency, throughput, and resource efficiency.</li></ul><div></div><div><b><br>
You'll need to have:</b></div>
<ul><li>4+ years of experience developing in Modern C++ or Python.</li></ul>
<ul><li>Strong system design and distributed systems fundamentals.</li></ul>
<ul><li>Familiarity with asynchronous frameworks and service-oriented architectures.</li></ul>
<ul><li>A collaborative mindset with excellent communication skills.</li></ul>
<ul><li>A degree in Computer Science, Engineering, Mathematics, or a related field &mdash; or equivalent work experience.</li></ul><div></div><div><b><br>
We'd love to see:</b></div>
<ul><li>Experience with Apache Arrow, BAS, or high-throughput data processing systems.</li></ul>
<ul><li>Knowledge of Linux system programming or performance engineering.</li></ul>
<ul><li>Contributions to large-scale infrastructure or open-source projects.</li></ul>
<ul><li>Passion for improving developer productivity and platform experience.</li></ul></div>
</div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Data & Analytics Federation

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Lyft Ads is one of Lyft&rsquo;s newest and fastest-growing businesses, focused on building the world&rsquo;s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey&mdash;before, during, and after a ride&mdash;by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes.
 <br/>
 <br/>
 We are seeking an
 <strong>
  Algorithms Scientist
 </strong>
 to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You&rsquo;ll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth.
 <br/>
 <br/>
 This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders&mdash;pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy production-grade machine learning models and algorithms that power core Lyft Ads capabilities, such as ad relevance, targeting, ranking, bid optimization, pacing, campaign delivery, and measurement.
  </li>
  <li>
   Own the end-to-end lifecycle of modeling projects &mdash; including problem definition, data exploration, feature engineering, model development, offline evaluation, deployment, and monitoring.
  </li>
  <li>
   Collaborate closely with Ads Engineering to integrate models into real-time ad-serving and batch decision systems, ensuring performance across latency, scalability, and reliability constraints.
  </li>
  <li>
   Analyze large-scale mobility, behavioral, and ads performance datasets to identify patterns, surface opportunities, and guide ML and AI driven product improvements.
  </li>
  <li>
   Implement rigorous model evaluation frameworks, including offline metrics, statistical tests, calibration, sensitivity analysis, and A/B experimentation to validate both model impact and system-level outcomes.
  </li>
  <li>
   Build robust training pipelines, feature transformations, and scoring infrastructure, ensuring reproducibility, observability, and long-term maintainability.
  </li>
  <li>
   Partner with Product, Engineering, and Sales to translate ambiguous advertiser goals (e.g., increased conversions, reach efficiency, brand lift) into measurable requirements and success metrics.
  </li>
  <li>
   Investigate and resolve model behavior issues, production regressions, calibration drift, and performance anomalies in close partnership with Ads Infra teams.
  </li>
  <li>
   Drive innovation by staying current with advances in ML for ranking, recommendation, causal inference, optimization, and ads measurement &mdash; and proactively identifying opportunities to apply them.
  </li>
  <li>
   Contribute to Lyft Ads&rsquo; modeling and experimentation infrastructure, through model cards, documentation, reproducibility standards, and code quality improvements.
   <br/>
   <br/>
  </li>
 </ul>
 Experience:
 <br/>
 <br/>
 <ul>
  <li>
   Master&rsquo;s, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience.
  </li>
  <li>
   3&ndash;5 years of hands-on ML/applied science experience, ideally involving production models, large-scale systems, or ads/recommendation/relevance domains. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn; ability to write clean, efficient, production-adjacent code.
  </li>
  <li>
   Experience working with large-scale datasets and distributed data tools (Spark, Snowflake, Presto, Databricks).
  </li>
  <li>
   Practical experience building and evaluating:
  </li>
  <ul>
   <li>
    Ranking and relevance models
   </li>
   <li>
    Optimization or pacing algorithms
   </li>
   <li>
    Predictive models for CTR, CVR, or user response
   </li>
   <li>
    Causal or experimentation-based measurement methods
   </li>
  </ul>
  <li>
   Understanding of online/offline evaluation techniques, including:
  </li>
  <ul>
   <li>
    Offline metrics (AUC, NDCG, MRR, calibration)
   </li>
   <li>
    A/B testing methodologies
   </li>
   <li>
    Bias correction and counterfactual estimation
   </li>
  </ul>
  <li>
   Ability to solve ambiguous problems by structuring analyses, evaluating trade-offs, and proposing algorithmic solutions grounded in scientific rigor.
  </li>
  <li>
   Strong communication skills, with an ability to clearly explain model behavior, constraints, trade-offs, and recommendations to engineering, product, and sales partners.
  </li>
  <li>
   Demonstrated ownership of modeling work, including debugging, monitoring, documentation, and iteration after deployment.
  </li>
  <li>
   Curiosity, initiative, and a track record of delivering measurable improvements through high-quality modeling.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 <br/>
 <br/>
 Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Data Scientist, Algorithms - Lyft Ads

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Regular</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule: Monday - Friday</li>
<li>Building: PH-20</li>
<li>Salary Range: 160,000 - 180,000</li>
</ul><div><i>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<p>
The Department of Biomedical Informatics at Columbia University is seeking a highly motivated data science engineer to support large-scale observational research within the OHDSI (Observational Health Data Sciences and Informatics) network. This role will focus on the design, implementation, and execution of distributed network studies using electronic health record (EHR) and administrative claims data to generate real-world evidence.</p>
<p>
The successful candidate will contribute to characterization, population-level estimation (causal inference), and patient-level prediction analyses across multi-institutional data networks. This position offers a unique opportunity to work at the intersection of biomedical informatics, data science, and clinical research within a leading academic medical center.</p>
<p>
This position is a full-time, two-year position with a possibility of an extension, contingent on available funding.</p>
<p></p>
<p>Responsibilities</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design and implement observational network studies using distributed EHR and administrative claims data</li>
<li>Conduct large-scale characterization, comparative effectiveness and safety estimation, and patient-level prediction analyses</li>
<li>Develop reproducible analytic pipelines using R and SQL in relational database environments</li>
<li>Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses)</li>
<li>Apply machine learning approaches for predictive modeling using high-dimensional healthcare data</li>
<li>Work with standardized data representations, including the OMOP Common Data Model and standardized clinical vocabularies for conditions, drugs, procedures, and measurements</li>
<li>Collaborate with interdisciplinary teams including clinicians, statisticians, data engineers, and informaticians</li>
<li>Contribute to scholarly outputs including manuscripts, presentations, and open-source analytic tools</li>
<li>Support transparent, reproducible, and scalable research practices across distributed data networks</li>
</ul>
<p></p><p>Minimum Qualifications</p>
<p>
Master&rsquo;s degree in biostatistics, public health, epidemiology, informatics, computer science, or related field, and or equivalent in education and experience, with at least 2 years&rsquo; related experience.</p>
<ul>
<li>At least 1 year of relevant prior work experience in the healthcare industry within a health system, a pharmaceutical company, or an insurer</li>
<li>Strong programming experience in R and SQL</li>
<li>Experience working with relational databases and large-scale healthcare datasets</li>
<li>Demonstrated interest in observational research using real-world clinical or claims data</li>
<li>Ability to design, implement, and document reproducible analytic workflows</li>
<li>Strong written and verbal communication skills</li>
</ul>
<p></p><p>Preferred Qualifications</p>
<p>
PhD degree in biostatistics, public health, epidemiology, informatics, computer science, or related field, and/or equivalent and experience in education, with at least 1 year of related work experience.</p>
<p></p>
<p>Other Requirements</p>
<ul>
<li>Familiarity with the OMOP Common Data Model and standardized vocabularies (e.g., ICD, NDC, SNOMED, MedDRA, LOINC, CPT)</li>
<li>Knowledge of causal inference methods for observational studies</li>
<li>Experience with machine learning techniques for patient-level prediction</li>
<li>Prior experience working in distributed or federated data networks</li>
<li>Familiarity with open-source research ecosystems and collaborative scientific communities</li></ul><br>
<p></p>
<p><b>
Work Environment &amp; Opportunities</b></p>
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This position is based at Columbia University&rsquo;s Department of Biomedical Informatics, a world leader in clinical research informatics and observational health data science. The role offers close collaboration with leading researchers, access to large-scale real-world data, and opportunities to contribute to impactful, open, and methodologically rigorous research that informs clinical and policy decision-making. This position is based in New York, NY and has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely.</p><br>
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<p>Equal Opportunity Employer / Disability / Veteran</p>
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Columbia University is committed to the hiring of qualified local residents.</p></div>

Data Science Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
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This role balances strategic vision with hands-on technical work. You'll design and architect scalable solutions, assess customer workloads, and make technical trade-offs while building long-term trusted advisor relationships. You'll leverage your expertise across multiple technology domains including compute, networking, storage, security, and software development to guide implementations and research innovative opportunities. With entrepreneurial freedom and the ability to manage your own priorities, you'll help customers solve real-world problems with meaningful impact.<br>
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Key job responsibilities<br>
Solution Design &amp; Architecture<br>
Design and architect end-to-end cloud solutions for complex customer requirements, making technical trade-offs and evaluating architectures for scale while ensuring solutions are extensible, reusable, secure, reliable, cost-optimized, and performant.<br>
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Executive Relationship Management<br>
Build and maintain relationships with customer senior leaders, understanding their business objectives and technical challenges to influence strategic direction and ensure technology decisions will meet long-term business outcomes.<br>
Demonstrated C-suite engagement required, with proven ability to establish credibility and drive strategic technical discussions at the executive level.<br>
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Technical Communication &amp; Thought Leadership<br>
Communicate complex technical concepts clearly to both technical and business audiences, creating technical content that is easily adopted and reusable by others while harmonizing discordant views to build consensus.<br>
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Technical Leadership &amp; Deep Dives<br>
Lead technical discussions and dive deeply into technical details with customer teams across application architecture, system design, and implementation considerations, proactively identifying gaps and opportunities.<br>
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Customer Advocacy &amp; Product Influence<br>
Drive effective customer feedback gathering, distilling and translating feedback into clear business and technical requirements for product and engineering teams while contributing to reference designs and reusable artifacts.<br>
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Preferred Qualifications<br>
Agentic AI expertise - Experience designing and implementing AI agent architectures, multi-agent systems, and autonomous AI workflows<br>
Developer Tools proficiency - Deep understanding of modern development toolchains, CI/CD pipelines, and developer experience optimization<br>
SDLC mastery - Strong experience across the full software development lifecycle, from requirements gathering through deployment and operations<br>
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A day in the life<br>
Your day is highly dynamic, varying based on customer needs and priorities. You might start with internal planning meetings, reviewing customer architectures and preparing for upcoming engagements. Later, you'll lead an architecture design session with a financial services customer, whiteboarding solutions and diving deep into technical requirements. You'll spend time building proof-of-concept solutions for pressing customer challenges, then conduct office hours where customers bring their technical questions. Throughout the day, you'll collaborate with account teams to align on customer strategy, document technical recommendations, and dedicate time to staying current with new AWS services and features.<br>
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This role supports US-FSI-Insurance, working with customers in the financial services and insurance industry to help them transform their business through cloud technology. Our team combines deep industry knowledge with technical expertise to address the unique challenges of regulated financial institutions. We're focused on enabling innovation, operational efficiency, and digital transformation while ensuring security and compliance. Working with our team means being part of a collaborative environment where you'll have the opportunity to make significant impacts on how insurance companies leverage cloud technology to better serve their customers.<br>
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About the team<br>
Diverse Experiences<br>
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AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
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Why AWS?<br>
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Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Inclusive Team Culture<br>
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AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
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Mentorship &amp; Career Growth<br>
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We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
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Work/Life Balance<br>
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients</li><li>Experience with presentations and speaking with executives, IT, management, and developers</li><li>Experience working with end user or developer communities</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 153,600.00 - 207,800.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually</div><p></p>

Sr. Solutions Architect, Financial Services (FSI) - US Insurance

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