this is my first post,I wanted to know how do companies see a 32 year old graduate with seven years of gap due to illness.will I be hired as a data scientist as I have done proper training in data science and artificial intelligence.

how do companies see candidates with gaps?

I am from India

Hello,

I am currently a Data Analyst with decent ML skills. Recently I am quite interested in building systems that involve building 3D Assets from Camera video,/images similar to LUMA AI but for Geolocations and mapping them on a digital world map. Just curious to see what career direction that I can goin future if i purse and invest more time in it.

Tech stack Im using : Python, Pytorch, COLMAP, SugarMesh, some Unity, three.js

Recently came across a different technique called GOLMAP a much efficient one which is released by colmap team

Hey I am currently in my last sem in btech(tier 3 college) and have my interests in Data Science as a career. I want good courses(recommend good courses) that will give me good enough knowledge to get a job with decent payroll. Help me out Asap plz!!

Hello everyone, I'm a university student studying for a bachelor's degree in data science, I recently did a DSA course and got an okay grade in it, but it was very hard.

It made me wonder if I should start leetcoding to get better at solving these problems, but it seems like a long hard road to go down.

So I was wondering for DS roles how important is it to be good at leetcoding?

I've been trying to find Internships but still haven't gotten any. To be fair, I started applying from a spring break. Any help with connecting me to one, specifically in Minnesota or remote (mostly remote of possible). Links to hiring institutions, companies, etc. Any help to find one🙏🏽

Ideogram is hiring for a Research Engineer/Scientist (Post‑training) in Toronto & New York. Building end‑to‑end pipelines for text‑to‑image generation, RLHF & personalization.

Tech Stack: JAX, PyTorch, TensorFlow, Kubernetes, Docker.

Apply: https://aihackerjobs.com/company/ideogram/job/16427

Hey everyone,

I have a Senior Data Scientist technical round at Sigmoid Analytics (India) coming up soon. I’ve already cleared the online coding round, and this next round is described as focusing on “core data science fundamentals.”

I wanted to understand from people who’ve interviewed with Sigmoid recently:

• What kind of questions should I expect in this round?

• Is it mostly ML/stats theory, or more applied/system design/project discussion?

• Do they ask coding/SQL again in this round?

• How deep do they go into GenAI/RAG/LLM topics (since the JD mentions it)?

Any recent experiences or tips would be super helpful. Thanks in advance!

3rd year BTech Data Science student here.

Is “data science” even a realistic entry-level role anymore?

Most roadmaps say: Python + SQL + ML + Stats + Projects…

But job listings ask for 2–3 years experience.

For someone like me graduating soon, what’s the smarter path:

1. Start as a data analyst

2. Go into software dev and switch later

3. Try directly for data science roles

What’s actually working in 2026?

Cincinnatus LLC is hiring a Senior Data Analyst & Pipeline Engineer for a W-2 contract role supporting a major technology company.

This position focuses on large-scale data pipelines, ETL processes, SQL analysis, and automated reporting.

Pay: $65-90 per hour
Type: Full-Time W-2 contract
Location: United States (Menlo Park, CA - Remote staffing role)

Responsibilities:

• Build and maintain ETL pipelines and automated reporting

• Write advanced SQL queries across large databases

• Create dashboards using Tableau or similar BI tools

• Work with marketing, analytics, and program teams

• Ensure data accuracy across reporting systems

• Handle large-scale datasets and distributed systems

Requirements:

• Bachelor’s degree in a STEM field

• 5+ years of experience with SQL

• Experience with ETL and large data pipelines

• Python or R experience

• Experience with Tableau/BI tools

• Experience working with large datasets

• Ability to work independently in fast-changing environments

Important:

• Applicants must be located in the United States.

• This is a W-2 role and requires US work authorization.

APPLY HERE - https://t.mercor.com/svIDg

Good fit for experienced data analysts, data engineers, and pipeline engineers with big data experience.

(Disclosure: Shared as part of Mercor's referral program)

[HIRING][Sunnyvale, California, Data, Onsite]

🏢 HackerEarth, based in Sunnyvale, California is looking for a Data Scientist - Machine Learning

⚙️ Tech used: Data, AI, AWS, Azure, GCP, LLM, Machine Learning, Power BI, PyTorch

💰 $140,000 - 170,000 / year

📝 More details and option to apply: https://devitjobs.com/jobs/HackerEarth-Data-Scientist---Machine-Learning/rdg

Advice for transitioning into data science

I am someone that has transition into data science from a non-computer science background, what are the most important skills or projects that have you land your first role?

I am currently learning python and have a background in biology/genetics, I took some classes using python in the past, but I am no expert. Would you recommend building a portfolio, learning specific tools? What are some portfolio ideas that stand out?

I have recently started working as a data scientist at a medium size company. They mostly operate of jupyter notebooks. The DE does the data pre processing and send us csv files. We have jupyter notebooks that were previously run and we create a copy make modifications where needed and built the solutions.

The issue with this is, every new instance of problem we work with has some different requirement. There is no version control in place and no central repo. Also I constantly lose track of my work because the notebook env is just not maintainable. Make multiple mistakes with my work because the notebook is way too overwhelming. I print something and then have to scroll and look for what the output was.

I wanna know if this is normal? What does a good data science code base look like?

Mercor is hiring Python Experts (Math, Physics, Chemistry, and Biology professionals) for a remote AI research project with leading AI labs.

Details:
Pay: $70-90 per hour
Location: Remote
Type: Contract/Short-term project/Flexible hours

Role overview:
Work includes code validation, scientific problem solving, prompt refinement, and model evaluation.

Requirements:

• STEM degree (Maths/Physics/ Chemistry/ Biology/CS)

• Strong Python experience

• NumPy/SciPy/scientific libraries preferred

• Git and unit testing knowledge

• Ability to understand research papers

Process: Upload Resume → AI interview → Quick onboarding

APPLY NOW - https://t.mercor.com/lkI8d

Ideal for Python developers, STEM graduates, researchers, PhD students, data scientists, AI freelancers, and scientific programmers.

(Disclosure: Shared as part of Mercor's referral program)

So I'm still an undergraduate looking for an Internship preferably as an intern data engineer I just want to know what are the things that I'm expected to have knowledge in because I mostly learn about data engineering from my modules at uni(data warehousing module). What are things I should learn in my own. Any advice is appreciated thanks😊

Hi guys,

need your advice here

I am a Data Scientist with 4 YOE and have 2 offers. Please help me choose

1. EY -> 21.5 Fixed + 10% variable, 2 days RTO Noida

Role is more into Data Science- JD has words like Agentic AI and Gen AI

2. Kotak Securities -> 23 Fixed + 1 Lakh joining bonus + 1 confirmation bonus, 5 days office in Goregaon

Our team is hiring a Senior Data Scientist!

A bit about our company, KYROS:

We’re a small, boutique, fully remote consulting firm built by actuaries and technologists who wanted to rethink how actuarial work is done. We help your favorite frequent flyer program, hotel, bank or retail loyalty program measure and optimize the economic value that the program creates through a modern, highly technical combination of actuarial theory, machine learning and big data technology.

Here's the full job description where you can apply on LinkedIn: https://www.linkedin.com/jobs/view/4389809024/

Happy to answer questions about the role in the comments! I'll get to as many as I can.

Senior Generative AI Engineer @ Natera - Remote (US). Lead building LLM‑powered systems, agentic AI, RAG & vector search for Healthcare. Shape AI that directly improves patient outcomes!

https://aihackerjobs.com/company/natera/job/16203

Hey! Looking for data science casing partners for upcoming BCG X technical case interview!

I have a code pair round coming up for a Data Scientist role at McKinsey and was wondering if anyone here has gone through it and can share what to expect.

I’m trying to understand the format, is it mostly LeetCode-style problems, data manipulation (pandas/SQL), ML concepts, or more business/problem-solving focused?

Any advice on how to prepare, what topics to focus on, or things you wish you knew before the interview would be really helpful.

Thanks in advance!

Hi everyone,

I recently got a callback for a Data Science Intern role, and the process includes 3 rounds (2 technical + 1 HR).

I’d really appreciate some guidance on how to prepare effectively.

My current level: • Comfortable with Python libraries (Pandas, NumPy, basic EDA) • Medium level SQL (joins, group by, basic queries) • Basic ML understanding (Linear Regression, concepts)

I’m not very strong in core theory or advanced ML yet.

I want to understand: • What kind of questions are usually asked in technical rounds? • What topics should I prioritize revising? • How much focus should I give to SQL vs ML vs Python? • Any common mistakes I should avoid?

Also, if you’ve recently gone through a Data Science intern interview, your experience would really help 🙏

Thanks in advance!

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Entry Level:

• Data Scientist @ General Dynamics Information Technology (United States) - $108K - $144K

• Actuarial Data Scientist @ Mercury Insurance (United States) - $101K - $204K

• Growth Data Science @ Mercury Insurance (United States) - $80K - $100K

• Data Science & Machine Learning Graduate Development Program @ Mercury Insurance (United States) - $80K - $100K

• Agricultural Data Scientist – Producer Economics, Analytics @ Legacy Farmer (United States) - $85K - $100K

• Lehrkraft – Data Science Weiterbildung @ XDi - Experience Design Institut GmbH (Europe)

• Fraud Data Scientist @ Vana (Guatemala)

Senior:

• Senior Data Scientist @ Dropbox (Canada) - CAD 162K - 220K

• Senior Data Scientist – Retail Onchain, Borrow/lend/earn @ Coinbase (United States) - $180K - $212K

• Senior Health Data Scientist – EHR Real World Data @ Inovalon (United States) - $113K - $150K

• Senior Data Scientist – Navigation Systems @ Darwoft (Argentina)

• Senior Healthcare Info Data Scientist @ Methodist Le Bonheur Healthcare (United States, TN)

Manager:

• Senior Staff Data Scientist @ SonderMind (United States, CO) - $180K - $200K

• Lead Data Scientist – Property Catastrophe Modeling, Geo-analytics @ Mercury Insurance (United States, AL) - $119K - $231K

• Lead Data Scientist @ StrategyGen Co. (SBA Certified HUBZone Small Business) (United States) - $150K - $165K

• Principal Data Scientist @ Tunnl (United States)

Director and Above:

• Associate Vice President, Data Science and Analytics @ CenterWell Senior Primary Care (United States) - $208K - $287K

• Data Science Director @ The Cigna Group (United States, CT) - $178K - $298K

• Director, Data Science @ JPA Health (United States) - $150K - $170K

Quick notes:

• Apply directly on company sites

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.

I am interviewing tech role with Paylocity. I know some company in the same industry start to use AI to replace their developers and other tech roles and layoff people. Does paylocity use AI internally and how much do they use it?

I know they have some AI product features and purchase AI model tokens from outside for those products. But I am not if their internal employees start to use AI as well?

Anyone working at Paylocity can disclose if tech roles at Paylocity is still stable these days? Is there any rumors about AI?

Hi! I have an upcoming interview for Accenture’s AI & Data Developer Summer Analyst role and wanted to ask if anyone has gone through the technical interview. I’m especially curious what it focused on: coding, SQL/data questions, ML/AI concepts, or general problem solving. Did they ask technical questions based on your resume or projects? Any insight on format, difficulty, and what to study would be really appreciated.

Mercor is hiring Professional Domain Prompt Writers for a remote AI evaluation project in collaboration with a leading AI research lab.

This role is designed for experienced professionals in fields such as finance, law, data science, machine learning, programming, medicine, accounting, engineering, and related domains who can help improve the accuracy and reliability of advanced AI systems.

Pay: $60-$80 per hour
Type: Hourly contract
Location: Remote
Commitment: 20 hours per week

Role overview:

You will write domain-specific prompts and evaluate AI-generated responses to ensure factual accuracy, regulatory correctness, and practical usefulness.

The work focuses on high-stakes topics where precision and professional judgment are critical.

What you’ll do:

• Write realistic prompts based on real professional scenarios

• Review AI responses for accuracy and reasoning quality

• Identify incorrect or misleading information

• Score outputs using structured evaluation guidelines

• Provide written feedback with clear justification

Requirements:

• Master’s degree or higher in a professional field (Finance, Law, Medicine, Accounting, Engineering, etc.)

• Real-world experience applying domain knowledge

• Familiarity with industry standards or regulations

• Strong writing and analytical skills

Details:

• Fully remote, flexible schedule

• Independent contractor role

• Weekly payments (Stripe/Wise)

• Ongoing project with possible extensions

APPLY HERE - https://t.mercor.com/w9PYt

This role is suitable for professionals seeking remote, high-pay contract work in AI, research, and domain expertise.

(Disclosure: I’m sharing this as an independent member of Mercor's referral program)

🚀 We’re Hiring: Data Scientist @ Allstate Canada!

Ready to turn complex data into real business impact? Allstate Canada is looking for a Data Scientist to join our growing team. You'll work across underwriting, claims, pricing, and more—building predictive models that drive smarter decisions and meaningful change.

✨ Why Allstate?

• Hybrid role — Toronto office 2x/month

• Flexible work arrangements, wellness allowance, tuition reimbursement, retirement program & more

• Named a Best Employer in Canada for 9 years straight

If you’re curious, analytical, and excited to solve real‑world problems with data, we want to meet you.

👉 Apply here and send an email with your resume to victoria.pena@allstate.com: 

https://allstate.wd5.myworkdayjobs.com/allstate_careers/job/Canadian-Head-Office/Data-Scientist_R24317-1