PhD Data Science Consultant
Posted 8 days ago
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Job Description
Looking to expand our team with 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $60-90 USD / hour.
Do you have a PhD in data science or statistics and 5+ years experience at a highly reputable institution (university, company, lab, or government organization)? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?
Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $0 to 90 USD / hour for newly approved experts and scale upwards of 200 USD / hour for our highest performing experts.
Visit Aligned Lab to apply:
About Aligned
At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.
Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.
How it Works
- Sign up at and complete the process to verify your identity and experience.
- Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
- While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
- Projects are paid hourly and start at $6 - 90 USD / hour for newly approved experts. You will be paid bi-weekly.
Minimum Qualifications
- You are a native or fluent English speaker and can confidently write at the university level.
- You have a PhD in data science, statistics or related field from a reputable university.
- You have a minimum of 5 years of statistics or data science experience at a highly regarded organization.
- You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
- You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.
Benefits
- Competitive Compensation. Set your own rates and work on your own terms.
- Flexible Remote Projects. All jobs are fully remote with flexible hours.
- No-Stress Matching. No need to search for jobs or promote yourself. We do the work.
- Expert Community. Gain access to a network of like-minded experts and professionals.
- Impact on the Future of AI. Regularly contribute to unreleased AI projects at the world's top AI research companies.
Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here:
PhD Data Science Consultant
Posted 8 days ago
Job Viewed
Job Description
Looking to expand our team with 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $60-90 USD / hour.
Do you have a PhD in data science or statistics and 5+ years experience at a highly reputable institution (university, company, lab, or government organization)? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?
Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $0 to 90 USD / hour for newly approved experts and scale upwards of 200 USD / hour for our highest performing experts.
Visit Aligned Lab to apply:
About Aligned
At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.
Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.
How it Works
- Sign up at and complete the process to verify your identity and experience.
- Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
- While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
- Projects are paid hourly and start at $6 - 90 USD / hour for newly approved experts. You will be paid bi-weekly.
Minimum Qualifications
- You are a native or fluent English speaker and can confidently write at the university level.
- You have a PhD in data science, statistics or related field from a reputable university.
- You have a minimum of 5 years of statistics or data science experience at a highly regarded organization.
- You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
- You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.
Benefits
- Competitive Compensation. Set your own rates and work on your own terms.
- Flexible Remote Projects. All jobs are fully remote with flexible hours.
- No-Stress Matching. No need to search for jobs or promote yourself. We do the work.
- Expert Community. Gain access to a network of like-minded experts and professionals.
- Impact on the Future of AI. Regularly contribute to unreleased AI projects at the world's top AI research companies.
Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here:
Data Science Manager, Real-Time Supply Management
Posted 6 days ago
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Job Description
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.
The Real-Time Supply Management (RTSM) team's mission is to improve rideshare market throughput by efficiently motivating driver decisions in real-time while maintaining a positive driver experience for long-term market health. This team is responsible for the efficient reinvestment of significant budgets to optimize supply conditions, providing effective supply controls etc., where and when the marketplace needs it most. Key areas include managing Bonus Zones, Priority Mode, and developing algorithms to improve budget allocation for maximum market throughput.
We are looking for a Data Science Manager to lead data science initiatives for the Real-Time Supply Management (RTSM) team. You will play a pivotal role in developing the vision, setting roadmaps, and leading the execution of data science projects that directly impact Lyft's marketplace efficiency and driver engagement. You'll partner closely with product, engineering, and operations leaders to build and scale our real-time incentive systems, shape long-term strategy, and deliver on critical business goals. You will initially be hands-on in building models and pipelines, gradually shifting to more managerial responsibilities as the team grows. The ideal candidate will have strong experience in algorithm development (particularly in optimization, machine learning, or causal inference), thrive in a fast-paced environment, and possess a hands-on, entrepreneurial mindset to drive results.
**Responsibilities:**
+ Lead, mentor, and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference.
+ Develop and deploy machine learning models, algorithms, and systems to optimize real-time supply management, including Bonus Zone budget allocation and Priority Mode effectiveness.
+ Define and drive the data science vision, strategy, and roadmap for RTSM, aligning with overall business objectives to improve market throughput and driver experience.
+ Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation.
+ Champion data-driven decision-making and prioritization within the RTSM team and with cross-functional partners.
+ Lead deep-dive analyses into large-scale datasets to identify opportunities for improving incentive efficiency, spend accuracy, and overall market health.
+ Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for real-time incentives.
+ Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.
**Experience:**
+ Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.
+ 5+ years of hands-on technical experience in machine learning, causal inference, optimization, or data science, preferably with applications in real-time systems or marketplace dynamics.
+ 1+ years of management experience building, leading, and mentoring data science teams.
+ Proven track record of leveraging data science, optimization, and/or machine learning to drive significant business outcomes.
+ Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions.
+ Strong understanding of experimental design and causal inference.
+ Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
+ Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable.
+ Familiarity with real-time bidding, dynamic pricing, or supply chain optimization is a strong plus.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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 - Team Members will be expected to work in the office at least 3 days per week, including 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
The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000. 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.
Senior Deep Learning Engineer
Posted today
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Job Description
Job Description
Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.
In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.
This role is on-site in our downtown Toronto office.
Responsibilities:
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
- Train, evaluate and deploy DL models that enable Owl products.
- Conduct and collaborate on research projects that advance product capabilities.
Requirements
Minimum Qualifications:
- Bachelor's degree in Computer Science or relevant technical field.
- PhD in computer vision and/or machine learning or related areas.
- 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
- Experience communicating research for public audiences or peers.
Preferred Qualifications:
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
- 4+ year(s) of work experience in an industry, university, or government lab.
Benefits
Why join Owl?
- Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.
- Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.
- Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.
- Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.
- Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)
Senior Deep Learning Engineer
Posted today
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Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
P&C Associate Director - Data Science/Predictive Modeling/Advanced Analytics
Posted 6 days ago
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Job Description
Do you want to be at the forefront of insurance industry innovation and leadership? Do you want to partner with insurers across North America to help deliver cutting-edge capabilities across their organizations? Do you want to work with the original Insurtech, driving performance improvement through our technology? If so, this might be the opportunity for you!
WTW is looking for an experienced P&C data scientist in the North American market with predictive modeling and advanced analytics experience to join as a Property & Casualty (P&C) Associate Director in our Insurance Consulting and Technology (ICT) practice. In this role, you will collaborate with our team of pricing, portfolio management, underwriting, finance and claims experts to design and implement cutting-edge solutions to challenges faced by the top insurers.
ICT provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions and software, all underpinned by unparalleled analytical capability. WTW has ambitious growth plans for our North America P&C propositions. Our goal is to substantially increase our footprint as we advise our insurance clients, with analytics and data science being a clear enabler of transformation throughout their organizations.
This position can be based in a major North American market and is open to remote/virtual work.
Note that visa employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.
**The Responsibilities**
+ Develop integrated consulting and technology solutions for our clients
+ Combine extensive knowledge of data science market practice in an insurance context and innovation to build robust analytics processes that deliver insights to decision makers at the point of decision making
+ Develop and implement data strategies for clients
+ Design, build, test and run data science processes for clients
+ Design data science technology infrastructures for clients' analytical and operational functions
+ Build effective predictive models, analytical tools and processes using a wide range of analytical and data science techniques
+ Meet billable hour target and revenue goals, operating as a highly respected and effective consultant
+ Prepare proposals and presentations leveraging marketing resources, practice groups, subject matter experts and client relationship managers for existing clients
+ Serve as a mentor and project manager to more junior colleagues, training them on both the technical and theoretical aspects of insurance as well as project delivery methods
+ Contribute to the development of WTW's intellectual capital and future proposition development, including go-to-market strategy
**Qualifications**
**The Requirements**
+ At least 5 years P&C insurance experience
+ At least 3 years predictive modeling experience
+ Experience working on a data science or analytics team at an insurance company or consulting firm
+ Strong analytical skills including ability to draw conclusions and identify trends from data in a logical, systematic way
+ Solid experience with data manipulation
+ An understanding of machine learning and statistical theory
+ An understanding of how to utilize technology to optimize outcomes within an organization
+ Awareness of main data enrichment sources and open source data assets most valuable to insurance companies
+ Awareness of Insurtech activities in this space
+ Capable of leveraging past experience and expertise to adapt to current projects and challenges outside of core skill set
+ Comfortable navigating ambiguity and developing innovative solutions
+ Committed to training and mentoring less experienced colleagues
+ Practiced in managing complex projects and delegating work to senior and junior colleagues
+ Available to travel as needed
**Nice to Haves**
+ Experience with Radar software
+ Experience leading or participating on actuarial or underwriting transformation projects
+ Knowledge of North American insurance marketplace and carriers
+ Professional designation such as CSPA or ACAS
**This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.**
**Compensation and Benefits**
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).
**Compensation**
The base salary compensation range being offered for this role is $150,000 - $230,000 USD per year. Salary range listed is for US candidates only.
This role is also eligible for an annual short-term incentive bonus.
**Company Benefits**
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
+ **Health and Welfare Benefits:** Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
+ **Leave Benefits:** Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off ( **Retirement Benefits:** Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.
_Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records._
At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution.
We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
**EOE, including disability/vets**
Artificial Intelligence (AI) Specialist
Posted today
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Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
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Engineer I, Artificial Intelligence
Posted today
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Job Description
Tucows Domains is the world's largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS).
As part of Tucows—one of the world's largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands.
What's Next at Tucows
We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team.
If this sounds exciting to you, join the herd!
About the Opportunity
We're looking for a passionate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you'll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You'll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using open-source models and modern infrastructure.
What You'll Do
- Design and build AI-driven features for our domain services platform using Python and Golang.
- Integrate and fine-tune open-source models such as LLaMA 3.2 and similar cutting-edge architectures via tools like Ollama.
- Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
- Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
- Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models.
- Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.
Key Skills and Experience
- Bachelor degree in software development with strong proficiency in Python; experience with Golang is a plus.
- Solid understanding of modern AI/ML/LLM concepts, particularly around transformer-based architectures and open-source models.
- Hands-on experience with frameworks like Tensorflow, Hugging Face, or similar.
- Experience working with and adapting open-source models (e.g., LLaMA, Mistral, Mixtral, etc.) for production use.
- A working knowledge of neural networks, including their architectures, training methods, and applications.
- A basic understanding of Fuzzy Inference Systems.
- Familiarity with containerization, APIs, and cloud-native tooling.
- A collaborative mindset, strong communication skills, and enthusiasm for innovation. #LI-NA1 #LI-Remote
The base salary range for this position is $74,790 - $3,100. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits
Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality.
We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Tucows and its subsidiaries participate in the E-verify program for all US employees.
Learn more about Tucows, our businesses, culture and employee benefits on our site here.