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freelance data science engineer (python & sql) Jobs in New York

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Spotify

<div>
 The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We&rsquo;re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it&rsquo;s a DIY artist or an industry-facing partner.
 
 
 As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You&rsquo;ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You&rsquo;ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify&rsquo;s promotional performance with hands-on ML development
 </li>
 <li>
 Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
 </li>
 <li>
 Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
 </li>
 <li>
 Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
 </li>
 <li>
 Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
 </li>
 <li>
 You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
 </li>
 <li>
 You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
 </li>
 <li>
 You have experience in optimizing machine learning models for production use cases
 </li>
 <li>
 You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
 </li>
 <li>
 You have some exposure to causal ML models, including things like counterfactuals.
 </li>
 <li>
 You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.
 
 
 </li>
 </ul>
 Where You'll Be
 
 
 We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
 
 
 The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
 
 
 Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
 
 At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.
 
 
 Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.
</div>

Machine Learning Engineer

Mindrift

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <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
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 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:
 
 
 <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+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 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.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 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>

Freelance Data Science Engineer (Python & SQL)

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design original computational STEM problems that simulate real scientific workflows
 </li>
 <li>
 Create problems that require Python programming to solve
 </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 and creative problem-solving approaches
 </li>
 <li>
 Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 5+ years of hands-on machine learning 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+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 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.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 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>

Freelance Machine Learning Engineer

RSC Solutions

<div>
 
 
 
 TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
 
 
 
 LOCATION: New York City (midtown)
 
 HYBRID ONSITE 4 DAYS IN THE OFFICE
 
 NO C2C 3RD PARTY VENDORS!!
 
 NO RELOCATION!!
 
 
 
 
 JOB DESCRIPTION:
 
 EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
 
 
 
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 
 
 
 
 Specific Functions/Activities&nbsp;
 
 
 SUMMARY:
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable AWS-based data architecture
 </li>
 <li>
 
 Develop and optimize production-grade Python data pipelines
 
 </li>
 <li>
 
 Own end-to-end ELT workflows using DBT and Apache Airflow
 
 </li>
 <li>
 Design, implement, and optimize data models to support analytics and operational reporting
 </li>
 <li>
 Improve platform reliability, observability, and performance across the data stack
 </li>
 <li>
 Contribute to architectural decisions for scalability, security, and cost optimization
 </li>
 <li>
 Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
 </li>
 <li>
 Evaluate and recommend new technologies to evolve MSG's data platform
 </li>
 </ul>
 
 REQUIRED EXPERIENCE:
 
 <ul>
 <li>
 
 4-7 years experience building and maintaining production data pipelines
 
 </li>
 <li>
 
 4 years Python development experience (production-grade code)
 
 </li>
 <li>
 
 2 years experience with DBT
 
 </li>
 <li>
 
 2 years experience with Apache Airflow (or equivalent orchestration tools)
 
 </li>
 <li>
 Strong SQL and data modeling expertise (dimensional normalized modeling)
 </li>
 <li>
 Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
 </li>
 <li>
 Experience designing scalable data architectures in cloud environments
 </li>
 <li>
 Experience troubleshooting and supporting production systems
 </li>
 <li>
 Strong communication skills and ability to work directly with business stakeholders
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 <li>
 CI/CD and DevOps practices
 
 </li>
 </ul>
</div>

Senior Data Engineer with DBT and Airflow-Onsite NYC

Warner Bros. Discovery

<div>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
Who We Are&hellip;
When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!
TA WILL POST.
How We Get Things Done&hellip;
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.</div>

Machine Learning Engineer I

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 TA WILL POST.
 
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
</div>

Realign

<div>New York, New York 10001 Posted April 2nd, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title : Software AI Engineer &ndash; Agentic AI</div><div>
Location : New York, NY (ONSITE) 
FTE ONLY</div><div></div><div> 
Job Description</div><ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li> Fluency with AI-assisted and agentic development workflows.</li><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li> Ability to influence technical direction and align teams without formal authority.</li><li> Experience in workflow engines, async processing, queues, and streaming systems.</li><li> Languages: Python, Go, TypeScript</li><li> APIs and services: REST, gRPC</li><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li> Distributed systems: event-driven architectures, including Kafka</li><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li><li> Integration of commercial and open-source LLMs into agentic workflows</li><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li> Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li> Own and evolve shared agentic AI capabilities, including:</li><li> Agent frameworks and orchestration layers</li><li> Planning, tool use, and memory strategies</li><li> Retrieval and grounding (RAG) pipelines</li><li> LLM infrastructure, inference, and model gateways</li><li> Evaluation, observability, and safety tooling for autonomous systems</li><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to pro duction.</li><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul> 

Required Skills
CLOUD SECURITY ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Software AI Engineer – Agentic AI-2

Explore 212+ Python engineer in New York this April. Find roles across top companies and apply now to boost your career.

212 python engineer jobs In New York

Machine Learning Engineer

Freelance Data Science Engineer (Python & SQL)

Freelance Machine Learning Engineer

Senior Data Engineer with DBT and Airflow-Onsite NYC

Machine Learning Engineer I

Machine Learning Engineer I

Software AI Engineer – Agentic AI-2