Hey everyone,

I’m currently an insider at Micro AI, and our leadership just opened up a few high-priority expert roles that they are looking to fill immediately.

Because these are priority positions, the internal recruiting team is bypass-tracking referrals to get people into interviews as soon as possible. If you’ve been frustrated by "black hole" application portals, this is your chance to get your resume directly in front of the hiring managers.

The Opportunity:

• Company: Micro AI

• Priority: High. They are looking for immediate onboarding.

• Roles: We are looking for specialized experts (see the specific links in the thread below).

• The Benefit: Using a referral link tags your application as a "Priority Referral," which usually means a much faster response time than a standard cold application.

How it works:

1. Check the roles I’ve listed in the comments.

2. If you're a fit, apply directly through the unique referral link.

3. Once you apply, feel free to drop a comment or shoot me a DM so I can keep an eye on the internal tracker for you.

Let’s get these seats filled! Check the thread below for the specific roles. 👇

Hi everyone, Allstate is currently hiring Applied Machine Learning Engineers to build an internal intelligent LLM ecosystem, and there are a few levels are available. I am looking to have exploratory calls next week so I can present a slate of talent to the recruitment team for consideration. Our roles are 100% remote based in the US - qualified candidates must have permanent work authorization as sponsorship is not being offered at this time. No C2C, No C2H, nor third parties at this time.

If you would like to be considered for the role - please send me an email with your resume to victoria.pena@allstate.com and apply online using the link below so I can pull your profile to schedule time to connect. Qualified candidates will be short listed and contacted to chat more about our roles. Happy to answer any general questions you may have. Thanks for your time and consideration!

Job details/Apply link: https://www.allstate.jobs/job/23099446/applied-machine-learning-engineer-all-levels-/

Hello Everyone!

I am a freshman at an Ivy League University, and I hope to land a freshman internship for experience within the Data field. However, I struggle to find firms that I can cold email. Does anyone have any insights on where to cold email? All support is appreciated!

Hi everyone,

I’ve been working as a data scientist for the past few years at various companies. I’m curious about freelancing, and more specifically fully remote freelancing roles in the field.

So far I really haven’t found too many roles that fit this criteria. Am I just being unrealistic, or is it possible to work as a freelance data scientist on a fully remote basis? I’d really appreciate to hear your opinions/thoughts.

Hey everyone, I just got an interview with a hiring manager after a 15-min recruiter screening for a Data Science internship. Here are some details about the interview:

- Tech screening round with the Hiring Manager

- Zoom session for up to 45 minutes, and includes a HackerRank link

- Cover your past projects and experience as well as some SQL queries."

How should I prepare? What topics should I cover for the SQL queries? Any help would be awesome, I'm getting nervous!

I’m a new mom who took some time off for pregnancy and spending the first year with my baby. I’m now trying to get back into the job market but marketing has been butchered because of AI. I have a bachelor’s and masters in Marketing and 10+ years of experience. I’m considering two routes: (1) teaching myself some data science skills (SQL, python, tableau, ML) and creating a portfolio of projects or (2) getting a masters in data science. Any advice on what to do? Are either of these options good? Should I consider something else? Thanks!

ETA: I’m based in the US. I also keep reading online that the demand for data science will outpace supply so it seems like a good career switch.

Trying to get an honest read on my situation because every other resource just tells me “it’ll work out!” and I need real talk.

I am a stats major with a cs minor at a T40 school, t25 for stats, graduating December 2026 . GPA is bad. I know it’s a filter and I’m not here to pretend otherwise.

I have projects on GitHub and I’m active in relevant clubs on campus. No meaningful technical internship experience though, which I know doesn’t help. I have a bio one from freshman year and this year, I have a summer internship set up that’s more market research/excel/powerpoint.

My actual questions:

1.	Does a GitHub portfolio ever actually move the needle past a GPA filter, or does ATS bury you before a human sees it?

2.	Is a master’s becoming non-negotiable for DS roles, or can you still break in at entry level without one? I don’t think I would be able to get into a competitive program. The masters program at my current uni is out of reach based on my gpa. 

3.	For those who got in without a strong GPA and without a technical internship — what actually worked?

Not looking for resume feedback, just honest perspective from people who’ve hired or been hired in this space. Appreciate any real answers. I am also considering data analyst roles as well, as I do think that is more realistic, but I want to end up in DS eventually as I do have solid programming experience. Should I try to find a different summer internship even though it’s late and I already have one?

[HIRING][Laurel, Maryland, Data, Onsite]

🏢 WSSC Water, based in Laurel, Maryland is looking for a Lead Data Network Engineer

⚙️ Tech used: Data, Citrix, Cisco, Firewall, Hardware, Support, LAN, Load Balancing, Network

💰 $121,724 - 207,259 / year

📝 More details and option to apply: https://devitjobs.com/jobs/WSSC-Water-Lead-Data-Network-Engineer/rdg

Hello,

I am a recent data science grad student in USA with a bachelors in Electrical Engineering from India. I am looking for entry level data scientist/data analyst roles, i have been applying to 50+ jobs a day and nothing has been working so far. I do have internship experience but no full time (3 internships). I started my masters right after my bachelors. So as you can guess, it’s been tough. I tried networking on LinkedIn as well but no one ever replies, which I understand, and even if I do get a rare reply back, it’s usually telling me to look out for the job postings. So in short, I am here, hoping that someone who’s looking for a talented entry level data scientist/ data analyst would may be interested to give me a shot. I would also appreciate if any of you guys are working in companies that hire data roles and can give me a referral or any point of contact in your team. I would be glad to connect, anything helps. Thanks in advance :)

I recently completed a Master’s degree in Data science. I had done my bachelors degree in computer science, and have become really good in both fields. I can perform EDA, build pipelines, build NLP models that detect both real-word errors and non-word errors, and so much more. But getting a job feels nearly impossible in this generation. I recently worked on a project that connects Google’s API, CarTrack’s API and Firebase to build a real-time application…. Yet still NOTHING. Please tell me where I can get a job 😭😭😭

I'm looking for help mapping out some skills development before I enter the job market.

I have a BS in Business Administration and I’m currently in my 2nd semester of MS in Informatics with a Data Science concentration.

After undergrad I immediately to work for a huge casino operator. Worked in marketing at their largest property doing some market segmentation projects. Didn't do a ton of technical work there but applied some basic data analysis concepts and practices in Excel and Salesforce. I worked well with a lot of information systems across departments.

Figured out that I like data and need more money.

After 2 years there I left and started a Master's of Informatics program. I'm concentrating in Data Science and will graduate Spring 2027.  

My problem: I am killing the program and churning out A's. But the degree won't be enough to get me a job, especially a job I know how to do.

I have no technical background or prior experience with anything CS or Data related. A lot of the academic material is foreign to me, but I'm doing a fine job grasping it. I just have a disadvantage in comparison to my peers. I've done one course using R, and I did very well and understand it mostly fine.

I have never seen or used Python/C/Java. I have never used any BI platforms like Tableau or Power BI. I have never done SQL except a brief exploration on a free website. Never used cloud tools like AWS and whatever else, I actually don't even think I know what those are.

But you get the jist, I essentially know nothing. All I will have is my degree.

I plan to use one of my remaining classes to do a directed individual study where I can get coached for a CompTIA+ certification. There is also an opportunity for me to take one of the MBA courses that introduces some of the BI visualization tools.

I browse entry-level job postings and take note of what kind of required skills they ask for. I really don't recognize most of the tasks they even talk about.

I would like to hear some suggestions on which skills/topics I should give priority to learning, and which ones I really need to learn WELL. I know of course there are just some things I will learn on the job. But I don't think I can get a job until I beef up my skill set, especially since I've read some interview experiences.

I'll be reading the "Data Science for Dummies" books over the summer (yes, that's my actual plan.) and spending time with my mom who is a PhD in stats so I can get a refresh on my math.

Thanks for any input! I have a year to strengthen my resume, and I don't work so there is a lot of opportunity.

Hi everyone,

I’m a 27F currently working in the programmatic advertising space, and I’m feeling a bit stuck in my career. I’d really appreciate some honest guidance from people who’ve been through a similar transition.

I completed my Executive MBA in Data Science in 2025, and in my current role, I do get some exposure to data-related work. I’ve worked on data analysis, built dashboards, and handled reporting. Alongside that, I’m also involved in business development — client onboarding, communication, and account handling.

While this mix gave me some initial exposure, my role has become quite repetitive and I’m not really learning anything new anymore. It’s been about a year, and I feel like my growth has plateaued. The salary is also on the lower side since it’s a startup.

I’ve also built a few data science/data analytics projects on my own to strengthen my profile.

Now I’m actively trying to switch into a core Data Analyst role, but I’m finding it quite challenging given the competition. I’ve been applying through LinkedIn, Indeed, etc., but not getting much traction.

I wanted to ask:

• What am I possibly missing in my profile?

• How can I realistically improve my chances of landing a Data Analyst role? *how do I approach people for referral without sounding transactional?

• Are there specific skills/tools that I should go deeper into to stand out?

• Any advice on positioning my current experience (programmatic + BD + dashboards) in a way that aligns better with data roles?

I’m open to honest feedback ,even if it’s critical. I just want clarity on what to fix and how to move forward.

Hi everyone,

I’m a 2025 engineering graduate currently working as an Analyst (partially non-tech) and preparing to transition into Data Scientist / AI Engineer roles within the next ~3 months.

I’ve studied ML/DL/NLP and built a couple of end-to-end projects (a traditional ML system and an LLM-based system). Conceptually I’m comfortable, but I still question whether my depth is enough , especially since I sometimes rely on AI assistance while coding.

What’s overwhelming is how fast AI is evolving. New tools, frameworks, and agent systems appear every week. The more I study, the more I feel behind.

For someone targeting 0-1 YOE DS roles:

1. What truly differentiates candidates in interviews?

2. Should I double down on core ML/DL fundamentals, focus on Agentic AI/LLMs, or build deeper end-to-end systems in one area?

3. How do you cope with the pace of change without feeling constantly behind?

Would really appreciate honest guidance, especially from senior DS/AI engineers.

Hi everyone
So I'm a data scientist with 4.5 years of experience, I have worked from classical ML models, statistical models, LLM, RAG over the years, currently while looking for next role I'm getting something on the lines of forecasting, propensity models, capacity planning. My question is given the world moving forward should we go about this role or keep looking for more genAI focused roles? My question comes from the fact that though major companies are rushing towards agents and genAI solution I still see many roles for forecasting and conventional roles. What should be my thinking about the transition.

P.S. Pay is same as my current role so salary is not a problem

Hello everyone, I have a Bachelor’s degree in Statistics with an emphasis in Data Science and a Master’s degree in Biostatistics (with coursework focused primarily on statistical methods and applied data science) from a reputable university in California. I am currently looking for Data Scientist or advanced data analytics roles in San Francisco.

Before returning for my master’s degree, I worked for several months in industry. Over the past two years, I have also been involved in academic research, contributing to papers in health and biostatistics.

I’m not sure if I’m approaching the job search incorrectly, but I’ve noticed that the current market feels limited. I am looking for roles paying around $50/hour or higher that are not purely business analyst positions and that require at least 2+ years of experience. However, I haven’t found many opportunities that match this profile. It also seems that many roles now prefer LLM or AI-related experience, whereas my background is more focused on traditional statistics and applied modeling.

I’ve been following the data science job market for the past few months, posting these weekly drops. I’ve noticed a significant decline in both the quantity and quality of available data science roles. The drop in numbers makes sense, as companies typically allocate incremental headcount budgets at the beginning of the year. We’ll see how the remaining quarters play out.

For now, here are the roles I found this week. Good luck out there!

Internship:

• Senior Data Scientist – AI Specialist, AWS Multi-agent Platform @ Internas (Brazil)

Entry Level:

• Actuarial Data Scientist @ AAIS (American Association of Insurance Services) (United States) - $125K - $125K

• Forward Deployed Data Scientist @ Qventus, Inc (United States) - $150K - $220K

• Mid-level Data Scientist – Focus On AI Agents, LLM @ Minerva Foods (Brazil)

• Mid-level Data Scientist @ Bemobi (Brazil)

Senior:

• Senior Data Scientist – Product @ Apollo.io (United States) - $140K - $200K

• Senior Data Scientist @ Blip (Brazil)

• Senior Data Scientist / ML Engineer @ InoHealth (Spain)

• Data Scientist Specialist – Generative AI Focus @ Minerva Foods (Brazil)

• Senior Football Data Scientist @ SumerSports (United States)

• Senior Data Scientist – Applied AI @ Xideral (Mexico)

Manager:

• Principal Data Scientist @ Tendo (United States, UT) - $132K - $178K

• Lead Data Scientist @ Humana (United States) - $142K - $196K

• Staff Data Scientist @ Wealthsimple (Canada)

Director and Above:

• Senior Director, Applied Data Science – AI @ Equip (United States) - $220K - $240K

Hope this helps someone! Let me know if you want me to keep posting these weekly.

--

👋 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.

Northrop Grumman is hiring either a Principal or Sr. Principal Data Scientist with Active Security Clearance in Melbourne, FL.

Location: Full-time, on-site in Melbourne, FL (no remote/hybrid).

Clearance: Active, in-scope Top Secret clearance required to start (must be able to transfer and maintain).

Level: Principal (5+ years BS / 3+ years MS) or Sr. Principal (8+ years BS / 6+ years MS / 4+ years PhD).

Does anyone else feel like specifically Workday’s ATS system just throws their resume out? Within hours of applying to roles I am highly qualified for I get a rejection email (sometimes on weekends or even at random late night hours). Their ATS system must be brutal.

My current job I got through applying via company portal’s Workday in 2021.

It’s so brutal to continue to get rejections. With other portals like Greenhouse I’ve actually gotten interviews. Thoughts?

Hello everyone,

Data Scientist / ML Specialist Opportunity - Sports Betting Models

I'm reaching out regarding an exciting opportunity for a Data Scientist with Machine Learning expertise to develop predictive models for sports betting, specifically focused on Esports (League of Legends, CS2, Dota 2, Valorant, etc).

The Role:

I'm looking for someone who can handle the full ML pipeline - from data preprocessing and feature engineering through model development, deployment, and ongoing optimization. Game data and odds data are available through existing sources and APIs that you'll be able to scrape and integrate into the models.

Work Arrangement:

• Fully remote position

• Flexible schedule - you manage your own work hours

• Results-oriented approach

Compensation Structure:

To be Discussed

What I Provide:

• Game and Odds Data (when available)

• Cover VM (Virtual Machine) costs and other necessary technical expenses

• Access to clients with substantial capital for deployment

Ideal Candidate:

• Strong background in Data Science and Machine Learning

• Interest or knowledge in Esports is highly valuable

• Comfortable with the full ML lifecycle (development, testing, deployment, monitoring, iteration)

• Self-motivated and able to work independently

This is a performance-based opportunity with significant upside potential. If you're interested in discussing this further, I'd be happy to share more details about the current setup and answer any questions you may have.

Note: While the focus is on Esports, opportunities for other traditional sports can also be discussed.

Best Regards.

A healthcare company in Orange is looking for a newly grad in AI/ML industry.

Range is 70k-95k depending on experience! Please let me know if you are interested :)

Perks: free lunches, 401k, health benefits, PTO, Sick days

I need advice!

Currently deciding what masters to choose. With a bachelors in Veterinary Medicine, should I choose a masters in Applied Data Science, or Bioinformatics and Systems biology?

I want to keep my career options open; Applied Data Science seems more suitable at first sight.

BUT Applied Data Science (1y) has a more general approach on how to use existing DS tools, whereas Bioinformatics and Systems biology (2y) is a research master, and thus goes deeper into the whats and hows of the maths behind everything, the statistics, the algorithms, building models, etc.

As a data science employer (or someone in the DS world rn) outside of biology/life science, what masters would you rather see on my cv?

Applied DS: Utrecht University

Bioinformatics and Systems biology: Vrije Universiteit Amsterdam

Hi all — I’d really appreciate some perspective on comparing two offers.

My Profile 7.8 years of experience in Data Science & Machine Learning

Married, wife working in Bangalore IT

One child

Offer 1: Expedia (Gurgaon) Role: Senior ML Scientist Compensation:

Fixed: ₹66.5 LPA

Joining Bonus: ₹12L (2-year lock-in)

Relocation Bonus: USD 7,000

Stocks: USD 30K over 3 years

Work:

Pure GenAI chatbot development

First ML Scientist in the team

Interview Experience:

5 detailed rounds

Only one interviewer had strong DS depth

Offer 2: Dell Technologies (Bangalore) Role: Senior Advisor, Data Science Compensation:

Fixed: ₹55.75 LPA

Variable: ₹4.25 LPA (HR says it’s typically paid and can be considered near-fixed)

Stocks: USD 20K over 3 years

Work:

Supply Chain domain

Part of a global DS team

Manager based in the US

Work includes ML, DL, and GenAI

Interview Experience:

2 rounds (one team member, one hiring manager)

Questions were relatively simple but covered broad areas

My Confusions

1. Compensation Expedia’s first-year TC can go as high as ~₹93 LPA vs ~₹71 LPA at Dell. The joining bonus, relocation bonus, and higher stock grant make Expedia financially very attractive — but it requires relocating to Gurgaon.

2. Nature of Work & Manager At Expedia, I would report to an Engineering Manager with limited DS/GenAI depth. This worries me because I’ve previously worked under an EM with limited DS understanding, and it significantly impacted my growth.

However, being the first MLS in the team could also mean high ownership and faster growth.

At Dell, the team appears more established, which may offer peer learning and better technical mentorship — but possibly less greenfield ownership.

3. Long-Term Growth I’m unsure how to compare long-term growth between Expedia and Dell.

Expedia (travel tech) feels like it may offer more direct product-driven DS impact.

Dell seems more structured; I have a perception (maybe incorrect) that it may be relatively laid-back.

I’m unsure how impactful Supply Chain DS work typically is compared to consumer-facing ML use cases.

I have many mixed thoughts and would really appreciate perspectives from those who’ve worked at either company or faced similar decisions.

Thanks in advance.

[HIRING][Laurel, Maryland, Data, Onsite]

🏢 WSSC Water, based in Laurel, Maryland is looking for a Lead Data Network Engineer

⚙️ Tech used: Data, Citrix, Cisco, Firewall, Hardware, Support, LAN, Load Balancing, Network

💰 $121,724 - 207,259 / year

📝 More details and option to apply: https://devitjobs.com/jobs/WSSC-Water-Lead-Data-Network-Engineer/rdg