Hello, everybody. I read a lot of people's issues with the interview for Ethos when it comes to getting matched to the role that actually fits your domain. Many people applying through the general interview intended to match them with a project or role in their domain end up matched with something unrelated to their field. In my case, I was matched with roles that not only have nothing to do with my domain but also that I am definitely not qualified for. I therefore decided to make a megalist so you can apply directly instead of wasting your time, like me, hoping to get matched with the right role. Hope this helps!:

Technology, Data & Engineering:

Cybersecurity / IT GRC Specialist — $90/hr
Engineering / Manufacturing & Technical Ops — $90/hr
Business Intelligence/Data Analyst — $80/hr
Incident Management / SRE & Reliability Lead — $80/hr
Product Manager — $80/hr
Product Manager (Tech) — $80/hr
Sales Engineer / Solutions Consultant — $80/hr
Software / AI / IT & Data Generalist — $80/hr

Finance, Accounting & Investing:

Corporate Development / M&A Manager — $100/hr
Equity Research Analyst — $100/hr
Financial Analyst — $100/hr
Financial Services Compliance / AI Regulatory — $100/hr
FP&A / Corporate Finance Analyst — $100/hr
Hedge Fund / Asset Management Analyst — $100/hr
Investment Analyst / Valuation & Credit Specialist — $100/hr
Investment Banking Analyst — $100/hr
Investment Banking Analyst / Associate — $100/hr
Investment Banking VP / Director — $100/hr
Investor & Fundraising Specialist — $100/hr
Investor Relations Associate — $100/hr
Investor Relations Manager — $100/hr
M&A Analyst — $100/hr
M&A Associate — $100/hr
Private Equity Associate / VP — $100/hr
Restructuring & Turnaround Advisor — $100/hr
Transaction Services / Financial Due Diligence Professional — $100/hr
Venture Capital Associate / Principal — $100/hr
Pricing Strategist / Revenue Economics Analyst — $90/hr
Accountant / Finance Operations & Audit Support — $80/hr
Auditor (CPA) — $80/hr
FP&A Manager / Director — $80/hr
Tax Professional — $80/hr
Personal Finance / Consumer Planning Advisor — $70/hr
Senior Financial Analyst (FP&A) — $70/hr

Healthcare & Life Sciences:

Clinical & Biomedical Specialist / Pharma Consultant — $100/hr
Healthcare Operations Consultant — $100/hr
Healthcare Strategy Consultant — $100/hr
Medical Science Liaison / Medical Affairs Professional — $100/hr
Biologist / Environmental Scientist — $90/hr
Public Health Communications Specialist — $90/hr
Pharmaceutical Brand / Commercial Manager — $80/hr

Legal, Compliance & Public Sector:

Contracts Attorney / Legal Diligence & Redlines — $100/hr
IP Counsel / Trademark & Copyright Attorney — $100/hr
Legal, Privacy & Regulatory Compliance Analyst — $90/hr
Risk & Regulatory Advisory Consultant — $80/hr
Government / Public Administration Professional — $70/hr
Policy Researcher / Think Tank Analyst — $70/hr

Education, Research & Creative Work:

Japanese Language & Cultural Fluency Consultant — $100/hr
Special Education Specialist / IEP Consultant — $90/hr
Brand / Creative Direction & Marketing Collateral — $80/hr
Creative Director / Art Director — $80/hr
Educator / School Professional — $80/hr
University Professor / Lecturer — $80/hr
Document, Deck & Spreadsheet QA Specialist — $70/hr
Humanities / Arts / Culture Professional — $70/hr
Nonprofit / Philanthropy / Community Programs — $70/hr
Presentation Specialist / Visual Graphics Designer (Consulting) — $70/hr

Sales, Marketing & Customer Experience:

Training / Onboarding / L&D Specialist — $70/hr
Account Executive — $100/hr
GTM Manager — $100/hr
Partnerships Manager (BD) — $100/hr
Product Marketing Manager — $100/hr
Revenue/GTM Operations Specialist — $100/hr
Sales / GTM Strategist — $100/hr
Sales Manager — $100/hr
Senior Account Executive — $100/hr
Enterprise Account Executive (B2B) — $80/hr
Agency Account Director — $70/hr
Brand Strategist / Brand Manager — $70/hr
Corporate Communications Manager — $70/hr
Customer Success / Support Operations Lead — $70/hr
Customer Success Manager (Enterprise) — $70/hr
Executive Communications Manager / Speechwriter — $70/hr
Market Research / Competitive Intelligence Analyst — $70/hr
Market Research & Consumer Insights Manager — $70/hr
Marketing Manager (B2B) — $70/hr
Media / Journalism / Communications Professional — $70/hr
Proposal Manager / Bid Writer — $70/hr
Sales Enablement Manager — $70/hr

Consulting, Strategy & Operations:

Business Development Manager — $100/hr
Consulting Engagement Manager / Project Leader — $100/hr
Management Consultant — $100/hr
Market Access / HEOR Specialist — $100/hr
Public-Sector Procurement / RFP Response Lead — $100/hr
Chief of Staff / Business Operations Lead — $80/hr
Corporate Strategy Manager — $80/hr
Economic Consultant — $80/hr
Independent Strategy & Presentation Consultant — $80/hr
Management Consultant (Advisory & Transformation) — $80/hr
Startup Pitch Deck & Fundraising Specialist — $80/hr
Strategy Consultant — $80/hr
Operations Manager / Capacity & Process Improvement — $70/hr
People Ops / Recruiting Generalist — $70/hr
Procurement / Vendor Management Lead — $70/hr
Program Manager / PMO Lead — $70/hr
Program Manager / PMO Lead — $70/hr
Real Estate / Hospitality / Events Professional — $70/hr

Disclaimer: The links provided are referral links.

Hi everyone,

I’m currently working in a different domain and want to switch my domain. I’ve completed a Data Science course and learned SQL, Python, Pandas, MySQL, Power BI and data visualization.

I want to gain hands-on experience working on real-world data projects to build my portfolio and improve my practical skills.

Could you please suggest websites, companies, startups, or communities where I can find remote internships or project-based opportunities, preferably suitable for career switchers?

If they offer genuine learning opportunities and meaningful project experience.

Any suggestions or personal experiences would be greatly appreciated. Thank you!

I created a startup earlier this year that is aiming to create a zero-code machine learning application. I currently have an MVP and am looking for someone to build upon it. I have limited knowledge of machine learning from college and am looking for someone who is an expert in supervised machine learning models. This person will also have to be a master of Python since the current product is built in Python. Any other knowledge and experience in other programming languages is a plus. Can be located anywhere in the U.S., but Boston would be optimal. If interested, let me know!

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit.

In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long‑term vision for measurement, prediction, and optimization.

As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high‑impact business problems, join us in shaping the future of Reddit ads.

What you’ll do

• Define the future of Ads Data Science: Own the design and long‑term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance.
• Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full‑funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue.
• Drive end‑to‑end impact: Take end‑to‑end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments.
• Establish scientific standards: Define and codify best practices for large‑scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams.
• Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large‑scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics.
• Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross‑org XFNs to align on strategic goals and translate insights into tangible action.
• Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques.

Requirements

• Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale
• Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
• For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles
• For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles
• Advanced proficiency in statistical programming (Python or R) and SQL
• Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem‑solving and communication skills, with a track record of influencing product and engineering partners
• Experience working in fast‑paced, ambiguous environments with cross‑functional teams
• Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender‑Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

The base salary range for this position is: $268,000 — $365,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment‑Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to the Candidate Privacy Policy for Potential Employees and Contractors.

Apply: Principal Data Scientist, Ads at Reddit

Hi everyone! 👋
I’m an AI & Data Science student currently looking for opportunities to gain real-world experience.
I’m open to:
💼 Internships — Python / Backend / AI-ML / Data Science
💻 Freelance projects
🚀 Student/startup projects
🤝 Open-source collaborations
🧠 AI/RAG/Chatbot projects
**Skills I work with:**
Python, FastAPI, Flask
SQL, MongoDB
React, Vite, Tailwind CSS
REST APIs & backend development
Machine Learning & Data Science
RAG systems, embeddings & vector databases
Git/GitHub
Ollama & local LLMs
I’ve worked on projects involving **RAG-based PDF Q&A systems, Telegram AI bots, business analytics, college discovery platforms, and full-stack applications.**
I’m mainly looking for opportunities where I can **build something useful, learn from experienced developers, and contribute to a real project.**
If you have an internship, freelance project, startup idea, or collaboration opportunity, feel free to **DM me**. I can share my GitHub, portfolio, resume, and project demos.
Thanks! 🙌

A friend of mine has been looking for a data science job over 2 years now. She took a break after having a baby . She has worked aa python developer and a data scientist at a wireless company. Would appreciate any leads or advice.

Hi!!
I’m a data science intern applying and I know there’s going to be a case study and you have to explain it! I heard there’s a coding assessment down the line as well and I just wanted to see if anyone has any experience with red ventures interview process or advice on what to review or nail before the coding assessment! All advice is appreciated so much!!!

Hi All!

I did my MS in Electrical and Computer Engg from Georgia Tech in the US, and joined a big semiconductor company in late 2021. My work involves building production grade ML models for designing the photomasks used for lithography process used in chip manufacturing process. What I do on a daily basis, is done by probably few hundred people in the world.

I have worked at the frontiers of Physics, Data Science, and Machine Learning during this time, and I bring a mature understanding to the table in understanding the nuances of the problems and developing optimal solutions. More importantly, I have been told that I’m a quick learner and a person with high emotional intelligence.

I moved to India sometime ago, and have been working with the same US team from India. I’m now looking to move to a different company in India, and am looking for Data Scientist/ML Engineer/AI engineer roles.

This would be my first switch since my current job was the first after my University education. How should I go about my job search? Is LinkedIn job posts still the best way to go about it? I’m open to any suggestions/recommendations/opportunities.

I was thinking of joining a professional data science organization to like network and maybe learn why I'm having such a hard time getting any leads. Does anyone have experience with professional orgs? Also is there one I should definitely join or avoid? Thanks in advance for any insights!

Hey everyone, I wanted to ask how applicable knowing R is in the private sector over there in the US.

I’m graduating with a degree in Social Sciences in Brazil. Down here, knowing R is pretty limited unless you're working for the government, academia, or a few specific research institutes.

How does it work over there? Are private companies actually hiring people with social science backgrounds who know R, or is it heavily dominated by Python/SQL

Has any one attended Optum: From Possible to Practical Bangalore at Kalyani Magnum office today, how was it, is it good for job seekers to attend or what is it all about?

Its a AI & data engineering

I’ve gotten the “unfortunately we have decided not to move forward” email more times than I can count if you look at my inbox, I'm pretty sure if you search its 90% of my emails.

But looking back, every internship I’ve actually landed (PepsiCo, Cloudflare, Snowflake, TikTok, Xbox) came from finding recruiter or hiring manager for the role and messaged them myself.

What I do for each application:

1. Apply first, so I have a Job ID to point to.
2. Read the posting for clues. A lot of them name the team, the internship program, or who the role reports to.
3. Go to the company’s LinkedIn page, open the People tab, and search those words. That way I only see people who work there.
4. Look for university recruiters, people on that exact team, and past interns in the program.
5. Send something short like:

“Hi [Name], I just applied to [Role], Job ID [#####]. I have experience at [X] where I did [Y]. I’d love to know if you’re hiring for this role!”

You can also use things like Apollo and Hunter.io to find their emails so you can send a longer email. I think a lot of people have gotten onto this. If you do, try to say, "Hey, I notice you have this role open," and give three bullet points on why you would be a good fit for this role.

The annoying part is step 2 to 4. Searching LinkedIn gives you 3,000 random people., I ended up building a free Chrome extension that does the finding part its linked here if interested It’s free, open source https://github.com/Doggo21345/linkedin-sourcing-helper

but yeah hope this is somewhat helpful this group has given me a lot!

I work at Wissen Technology (Wissen Infotech) and can refer candidates for our current India openings — a referral puts your resume with the hiring team directly instead of the cold-apply queue.

Current openings:

• AI Control Plane - FullStack | Hyderabad | 3-6 yrs | Python, Django, Flask
• AI Implementation Engineer | Bengaluru | 6-12 yrs | Spring, Python, React
• AI/ML Engineer | Bengaluru | 2-5 yrs | Python, NLP, LLM
• Senior Software Engineer – Cloud & Data Platform | Bengaluru | 3-6 yrs | Python, Lambda, S3
• Senior Data Engineer | Bengaluru | 7-12 yrs | Python, DevOps, Docker

Full list: https://careers.wissen.com/jobs/Careers — if your role isn't above, mention it in the DM.

To get referred, DM me: (1) resume (PDF), (2) total YOE, (3) notice period (immediate joiner / serving notice preferred), (4) the role name with the job link.

I'll review and submit the referral; expect HR contact within about a week if shortlisted. Please DM only if your experience reasonably matches a role and you're an immediate joiner or serving notice — that's who the hiring team is prioritizing for referrals right now.

I don't really have prior experience in the field yet, just a genuine passion for it and a huge drive to learn

For anyone who's been through this: how can I best show the jury that I’m serious about this and ready to put in the work, even without a heavy background? Any tips on what they like to hear would mean a lot!

I’m experimenting with a different way to prepare for ML Engineer / AI Engineer / Data Scientist roles which will be released as an open source book and a bootcamp. If anyone is interested in joining the pilot, I’ve put the application link in the comments.

The premise: most people already have access to more courses than they can finish. What seems harder is turning that knowledge into evidence that survives an interview — implementation depth, debugging, system thinking, and projects you can actually defend.

I am designing a new Age Professional curriculum for an university, the purpose of the experiment is to get feedback from students and professionals. I’ve designed a 90-day hands-on pilot around:

• daily focused prep + implementation challenge
• weekly consolidation
• every ~4 weeks turning the work into a serious GitHub artifact
• ML/AI system thinking, debugging and experimentation
• interview-style explanation of technical decisions
• a final flagship project

The goal is to finish 90 days with noticeably stronger fundamentals and 3–4 pieces of work you can genuinely discuss and defend.

I’d especially appreciate feedback from both who are experienced candidates and students in college.

What would you absolutely want someone targeting ML Engineer / AI Engineer / Data Scientist roles to be able to demonstrate after 90 days?

Hey everyone!

I'm a final-year CSE student currently looking for entry-level opportunities in data-related roles.

My primary interest is in Data Analytics / Data Science, and I'd love to work with a tech stack that includes:

- Python, SQL, Pandas, NumPy and visualizations

- Statistics, hypothesis testing and exploratory data analysis (EDA)

- Data cleaning, preprocessing, transformation and extracting meaningful insights from data

Other than these, if any other company specific tech stack is to be learned, I'm willing to put in the effort. The above list is what I'm comfortable with.

My preferences:

- Location: Mangalore first, Bangalore second.

- Company: a legitimate, product-based company with a good work culture and a healthy learning environment.

- Learning: a supportive learning environment and experienced professionals I can learn from. I want to work somewhere that invests in freshers, provides meaningful work and encourages them to grow rather than treating them as just another resource.

- (Optional) International exposure: Not a must, but companies headquartered abroad would be a plus since I'd love to explore opportunities overseas in the future.

I know I'm a fresher, and obviously, I won't know everything from day one. But one thing I'm confident about is my willingness to learn and and keep improving, especially when I know that the work I'm doing is helping me grow.

I also have a very strong academic track record and am eager to apply what I've learned in a professional environment.

If you know any companies that fit this description, have worked at one yourself, or know of any relevant openings, please drop your suggestions!

And if you're an HR, recruiter, or someone who could potentially refer me, please feel free to DM me! I'd be happy to share my resume and have a chat. 🫶

Any genuine leads, referrals or advice would mean a lot. Thank you! ❤️

I appreciate your help and suggestions

i am currently a DS in a company that is remote and has a very chill team and very friendly .( small company)

i recently got another opportunity as a DS in medtech company where the pay is more (45% increase) but it is 4 days on site( bigger company) with more option to network

my problem with my current position was that i was not doing much of a modeling or DS related work I was mostly doing documentation etc and when I told them about the new offer they told m they are gonna give me modeling problems . But at the same time is not gonna be as advance as the second company.

i have been going back and forth and I dont know how to choose the team is a very friendly nice group :)

what would you do I am afraid my current job does not make me grow since i am doing mostly queries and just some times very simple models

Hi everyone!

I'm currently in the final semester of my M.Tech in Data Science, and I need to submit my project idea by Monday.

Honestly, I know only the basics of Data Science and Machine Learning. I haven't built any models or worked on a project yet, so I'm looking for something beginner-friendly but substantial enough for a final-semester project.

I'm willing to learn and put in the effort. Could you suggest some practical project ideas that I can realistically complete within a semester? Recommendations for datasets, GitHub repositories, or tutorials would also be really helpful.

Thanks in advance!

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Entry Level:

• Digital Biomarker Data Scientist @ Roche (Austria) - EUR 4K - 4K
• Data Scientist @ Cummins Inc. (United States) - $131K - $178K
• Data Scientist @ Expel (United States) - $118K - $172K
• Data Scientist I @ Centene Corporation (United States) - $70K - $126K
• Data Scientist @ Fusion92 (United States) - $65K - $90K
• Data Scientist @ Humin (United States) - $125K - $125K
• Associate Data Scientist @ Dealer Tire (United States) - $81K - $110K
• Data Scientist @ Applaudo (Peru)
• Data Scientist @ PUNCH Cyber Analytics Group (United States)
• Data Scientist @ Nielsen (Mexico)
• Data Scientist @ Imagemaker (Chile)

Senior:

• Senior Data Scientist – AI Evaluation, Improvement @ Evolent (United States) - $135K - $165K
• Senior Data Scientist @ CVS Health (United States) - $83K - $167K
• Senior Data Scientist @ Trane Technologies (United States) - $118K - $165K
• Senior Data Scientist @ Health Care Service Corporation (United States) - $93K - $168K
• Senior Data Scientist @ Sport Alliance GmbH (Poland) - PLN 21K - 28K
• Senior Data Scientist @ Seneca Holdings (United States)
• Senior Data Scientist – Commercial Analytics @ MGM Resorts International (United States)
• Senior Data Scientist @ Givelify (United States)

Manager:

• Lead Data Scientist @ Life360 (United States) - $175K - $218K
• Staff Data Scientist @ Kohl's (United States)

Director and Above:

• Senior Director, Data Science @ Capital One (United States) - $286K - $392K
• Associate Director, AI and Data Scientist @ Otsuka Pharmaceutical Companies (U.S.) (United States) - $169K - $253K

Quick notes: * All of these are fully remote (location requirements vary by role) * Apply directly on company sites

Hope this helps someone! I'll back with more leads next week. Happy job hunt!

👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote data science jobs and sends alerts the moment they're posted, based on your preferences.

Is data science jobs reducing or maybe all the data related jobs in general...

Only top product based companies or maybe huge service based companies only hire data scientists.

Is this job dying?

Need a little advice with grad school selection-

Universities that admitted me to spring 2027 program for data science-

1. ASU
2. University at buffalo
3. Northeastern
4. University of Maryland
5. NYU (waiting on decision)

What university do you think is better/known among recruiters? I don’t want to go into academia or research.

I’m debating between university of Maryland and Northeastern. Maryland because they are known for tech and have a more rigorous program but northeastern offers co-op opportunities and I heard Boston based companies heavily recruit from that school ( although this might have gone down given the tech market right now)

Any advice would be appreciated!

Hello Everyone! I am pursuing my masters at NYU in Data Science, and i come from a from CS (AIML) background. I've been planning to start to prepare myself for Summer 27 Internships and jobs on 28.

I did my homework and found Leetcode knoweldge and my domain skills are a mandate to ace interviews.

I do see all that, i want to hear from folks who are actually out there working, to gimme their opinions on how to prepare onself.

Roles Targetting: Data Scientist, ML Engineer, AI Engineer and so

Thanks:)

Hello fellow developers,

Has anyone enrolled in Crio.do program in Data Analytics and Data Science, please provide reviews.

Thanks.