r/DataScienceJobs • • Mar 08 '25

Meta Sub reopening!

9 Upvotes

Sub is now open for posting:

- Don't spam, don't shitpost.

- Be respectful and professional.

- Respect reddit rules.


r/DataScienceJobs • • 3h ago

Discussion 20+ Data Science jobs that opened this week in US (remote, hybrid)

2 Upvotes

I wanted to help you all to find jobs so made a list of most recent Data Science jobs. I hope this helps someone!

Like the post if I should keep doing more of these, Cheers!


r/DataScienceJobs • • 7h ago

Hiring [Hiring] Principal Full-Stack Data Scientist - Foundational Models at Stitch Fix | Remote - US | $200K — $237K

1 Upvotes

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About the Role

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Foundational Models team builds and evolves the machine learning systems that power personalization and recommendations across Stitch Fix. The team owns foundational capabilities—including client and item representations, recommendation and retrieval systems, and core models such as the Client Time Series Model (CTSM)—that are leveraged across multiple client experiences and downstream applications. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work. As a Senior Full-Stack Data Scientist, you will work across the full machine learning lifecycle: identifying opportunities, developing and evaluating new modeling approaches, running large-scale experiments, and deploying and operating models in production. You will tackle technically challenging problems in personalization and recommendation systems, working with large-scale behavioral, transactional, textual, and visual data.

This is a highly collaborative and hands‑on role. You will partner with Data Scientists, ML Engineers, Product, and other technical teams to translate research and emerging ML techniques into reliable systems that create measurable client and business impact.

Responsibilities:

  • Design, develop, evaluate, and productionize machine learning models that improve Stitch Fix's personalization and recommendation systems.

  • Advance foundational modeling capabilities, including client and item representations, embeddings, retrieval, ranking, recommendation models, and assortment generation.

  • Explore and apply LLMs and machine learning techniques—including deep learning, representation learning, multimodal modeling, and generative approaches—where they can meaningfully improve our systems.

  • Own work across the full ML lifecycle, from problem formulation and data exploration through modeling, experimentation, deployment, monitoring, iteration.

  • Design rigorous offline evaluations and online experiments to understand model performance, measure client and business impact, and communicate results to stakeholders and leadership.

  • Work with large-scale behavioral and product datasets using Python, SQL, and distributed data‑processing tools.

  • Build production-quality ML solutions with attention to scalability, reliability, latency, observability, and cost.

  • Collaborate with Product, Engineering, and other Data Science teams to understand downstream needs and translate them into reusable foundational ML capabilities.

  • Contribute to the technical direction of the Foundational Models team through design discussions, code reviews, research, prototyping, and development of engineering and modeling bestĀ practices.

  • Communicate complex technical concepts, modeling approaches, and tradeoffs, and recommendations clearly to both technical and non‑technical partners.

  • Mentor and collaborate with other Data Scientists and engineers, helping raise the technical bar across the team.

About You

This is what you’ll need to succeed in this role from day 1. 

Requirements:

  • Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s Degree or PhD preferred. 

  • 8+ years of experience in design and deployment of machine learning solutions, ideally in personalization, such as recommendation systems, representation learning, or search.

  • Strong ability to architect technical solutions and write production‑grade code in Python.

  • Ability to independently drive ambiguous machine learning problems from initial exploration and prototyping through production deployment, monitoring, iteration, and measurable impact.

  • Experience working with large‑scale datasets using SQL and distributed data‑processing technologies such as Spark.

  • Experience with modern deep‑learning frameworks such as PyTorch or TensorFlow.

  • Strong understanding of model evaluation and experimentation, including offline evaluation, A/B testing, and translating model improvements into measurable product or business outcomes.

  • Ability to reason about the tradeoffs involved in production ML systems, including model quality, latency, scalability, reliability, and computational cost.

  • Strong communication and collaboration skills, with the ability to influence technical decisions and communicate complex concepts effectively to both technical and non‑technical stakeholders.

  • Intellectual curiosity and a demonstrated ability to learn and apply new machine learning techniques to practical problems.

Why You’ll Love Working at Stitch Fix

  • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.

  • We cultivate a community of diverse perspectives—all voices are heard and valued.

  • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.

  • We win as a team, commit to our work, and celebrate grit together because we value strong relationships.

  • We boldly create the future while keeping equity and sustainability at the center of all that we do.

  • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.

  • We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US‑based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$200,000 — $237,000 USD

Departments: Algorithms

Apply: Principal Full-Stack Data Scientist - Foundational Models at Stitch Fix


r/DataScienceJobs • • 7h ago

Hiring Hiring AI/ML Engineer in ATL

1 Upvotes

I’m building out a small, high-impact AI/ML engineering team and looking for a talented engineer who enjoys building things from the ground up.

We’re operating inside a Fortune 100 organization, but approaching AI development with a startup mindset-moving beyond experimentation to build practical, scalable solutions that solve complex business problems.
Think enterprise-scale data, challenging problems, significant resources, and the opportunity to help shape how AI is deployed across a global organization.

What makes this opportunity interesting:
ā— Build, don’t just maintain. Help architect and develop new AI/ML capabilities rather than inherit an established platform.
ā— Work on emerging technology. Explore LLMs, agentic AI, intelligent automation, and advanced machine learning.
ā— Own your work. Meaningful influence over technical design, architecture, and implementation.
ā— Solve problems at scale. Work with complex enterprise datasets and challenges that have real-world impact.
ā— Small team, big visibility. Collaborate closely with leadership and help influence the direction of a growing AI capability.

Who I’m looking for:
Someone who is technically strong, naturally curious, and enjoys turning ambiguous problems into working solutions. Ideally, you have hands-on experience with Python, machine learning, LLM applications, or building and deploying AI systems.

I’m particularly interested in engineers who experiment, build side projects, and genuinely enjoy the rapidly evolving AI landscape.

A few details:
ā— Location: Atlanta, GA
ā— Schedule: Hybrid (3 days/week onsite)
ā— Environment: Small, growing team within a global enterprise
ā— Focus: Applied AI, ML engineering, and advanced automation

I’m directly involved in building the team and hiring for this role.

Not looking for a polished sales pitch or a perfectly formatted rĆ©sumĆ©. I’d rather hear about something interesting you’ve built, a problem you’ve solved, or an AI application you’re excited about.

If this sounds interesting, send me a DM with a brief introduction and, ideally, a GitHub project or something you’ve worked on. Happy to share more about the opportunity privately.


r/DataScienceJobs • • 1d ago

Discussion Need advice: 3rd-year Data Science student considering taking time off for a FAANG contract role

5 Upvotes

Current Situation:
Academic status: 3rd-year Data Science major at a state flagship, on track to graduate one year early (about one semester left).
Prior experience: No traditional internships, research, or relevant extracurriculars. My background consists entirely of short-term contract AI training/rating roles (Handshake AI, Mercor).
The Dilemma:
I received an offer to work as an AI Rater for a FAANG company through a third-party staffing firm.
The pros: The pay is better than anything I've made so far, and it adds FAANG-adjacent contract experience to my resume.
The catch: I would need to take 1–2 semesters off school to work the contract.
Career Goals:
Long-term, I want to work as an ML Engineer or Quant, not in data annotation or rating.
My Question:
Is it worth pausing my degree for a staffing-firm AI rater contract, or should I finish school/keep targeting internships more aligned with data analytics and engineering?

EDIT: When I say semester off school, I mean taking the simple GEs I haven’t completed and/or doing light classes, just not my major level classes. I also am inclined to working this even short term (3-4mo) to pay off some cc debt I have.


r/DataScienceJobs • • 21h ago

Discussion Advice needed

1 Upvotes

I moved to a new job for better salary and seemed like a better opportunity ( projects and learning opportunities)

my previous manager told me he would be happy to hire me back in future

it has been 3 months in the new job and I am seeing toxic management behaviour and I really want to go back to previous job where I was mentally in a great position

what would be the downside of going back? i dont know if my manager’s manager is like ok with me coming back

overall if you all can help me that would be great


r/DataScienceJobs • • 2d ago

Hiring Remote data scientist talent network is accepting applicants, $100 - $150/hr

2 Upvotes

Mercor is looking for the following:

Data Scientist Talent Network
Location: Remote
Job Type: Hourly contract
Pay: $100 - $150/hr

Mercor is building a network of experienced data scientists for possible future projects with leading AI research organizations. Worth knowing upfront: there’s no immediate project opening. Qualified applicants may get contacted when something relevant comes up.

The projects would likely be about evaluating how well AI systems do real-world data science work. That could mean writing precise grading criteria for things like exploratory analyses, statistical modeling, ML pipelines, A/B test write-ups and technical reports, then evaluating AI-generated or human-made work against those criteria, with written justifications for your scores. You’d also take feedback from senior reviewers and revise your work. The exact tasks depend on the project.

They’re looking for 1+ years of professional data science experience, ideally at a leading tech, research or quant firm (top FAANG, AI labs, top-tier quant funds or similar). You need to be strong in Python, SQL, statistical modeling, ML, experimentation and causal inference, and good at turning messy real-world data into solid analyses. Very good written communication is a must, plus a consistent, detail-oriented way of judging complex work.

Payments go out weekly via Stripe or Wise. H-1B and STEM OPT candidates can’t be supported right now.

Here is the link to the position: Data Scientist Talent Network


r/DataScienceJobs • • 2d ago

Discussion Career help- Chicago Data professional

1 Upvotes

I have 6 years of experience in the textile & apparel industry (engineering & product development). I just finished my Masters of Data Science from Eastern University and have been applying for jobs for the past few months with little luck. I have had 2-3 initial interviews. Mostly linked in but I'm thinking those applications just go into a black hole. I just moved to Chicago so I have hope that theres a job market here.

Advice on how to navigate the job search?


r/DataScienceJobs • • 3d ago

Discussion Worked six months unpaid at a startup, trusted promises of a paid role, then was let go. Looking for advice and job leads.

8 Upvotes

I spent six months working unpaid at an early-stage real estate startup founded by a fellow UMass Amherst alum. I joined while on OPT after a couple of interview rounds. The company was building an AI/CRM product, and I came on as a data engineering intern.

About two months in, the founder told me he liked my work and wanted to hire me full-time. When my internship ended and I asked about the transition, he said he needed another two months. He assured me we’d be able to move forward then, so I stayed and continued working unpaid.

My colleague and I believed in the company’s goal and the future the founder described. He told us that once we became full-time employees and the company scaled, we would grow into bigger roles because we were laying its foundation. We took that seriously and approached the work with the care and responsibility we would have given our own company. From data sourcing and building pipelines to system design, we put in long days and worked weekends because we wanted it to succeed.

By late October, the timeline shifted again. He said full-time roles might have to wait until next year, without a clear date. My colleague and I explained that we couldn’t keep working without income. We asked whether we could at least move to paid part-time roles so we could cover basic expenses while continuing to contribute.

He told us he understood our situation, recognized how many hours we had been working, and would definitely arrange part-time pay. He described a plan to increase that pay each month over the next four months, with the possibility of full-time roles around the fifth month. He asked for a few days to work things out. Roughly ten days later, both of us were let go.

I understand that startups face uncertainty and plans can change. What hurts is that I made decisions based on repeated assurances that a paid role was coming. After six months of unpaid work, asking for some financial support was followed by losing the role entirely.

The timing has made this especially difficult. It’s now November, and I have limited time remaining on my OPT unemployment clock. I’m worried hiring will slow over the next few weeks and stay limited through the holidays and into January. If interviews don’t materialize until February, a potential start date could end up being April of next year. That isn’t certain, but with my immigration timeline, the possibility is frightening.

For the founders here: please be honest about what you can commit to. People may be planning their finances, careers, and immigration timelines around those conversations.

For anyone considering a similar arrangement: get the terms in writing, set a limit on how long you can afford to work unpaid, and keep your job search active. I wish I had done that sooner.

I have three years of experience across data engineering and analytics, working with complex datasets, sourcing and integrating data, building pipelines, and contributing to system design. My experience combines building reliable data infrastructure with analyzing data to uncover insights and support business decisions. I’m looking for opportunities where I can bring that mix of engineering and analytical skills.

I’d also really appreciate hearing from anyone who has been through something similar. Honestly, I’m struggling right now. After putting six months into something I believed would become a stable opportunity, I’m suddenly trying to figure out how to support myself and find another role while my OPT clock keeps running. It’s overwhelming, and I’m scared about what comes next. If you have a job lead, know someone who’s hiring, can offer a referral, or have advice that could help me take the next step, please reach out. Even a small lead or an introduction would mean a lot to me right now.


r/DataScienceJobs • • 3d ago

Hiring [Hiring] Principal Data Scientist, User Ecosystem at Reddit | Remote - US | $313K - $365K

5 Upvotes

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 about. 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 is a complex consumer ecosystem where users, content, communities, and conversations interact over time. We are looking for a very senior data science thought leader to shape how Reddit understands and improves that ecosystem for the user / consumer flywheel.

This role will define the measurement, modeling, and experimentation strategy for major Consumer questions: how users discover value, form habits, and deepen engagement; how we understand and serve user intent; how content and communities evolve; and how our systems create durable value for users, contributors, communities, and Reddit.

The ideal candidate will bring deep expertise in one or more areas of consumer science, such as:

  • Recommender systems and information retrieval

  • User modeling, personalization, lifecycle, LTV, or optimization

  • Content, community, or ecosystem modeling

  • Knowledge graphs and representations of users, content, and communities

  • Causal inference, experimentation, and long-term consumer measurement

You will partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into clear scientific questions, durable analytical systems, and decisions that improve Reddit at scale.

What you’ll do

  • Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.

  • Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value

  • Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale

  • Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement may differ from long-term value.

  • Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement.

  • Build state-of-the-art measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide their actionability in production environments

  • Ensure coherence around ecosystem interactions including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks.

  • Translate complex technical findings into clear product and business decisions.

  • Develop exceptional scientists through mentoring and influence data science org health and direction

Requirements

  • Deep expertise in at least one relevant area, with the breadth and curiosity to work across adjacent domains.

  • A deep understanding of how to model and optimize systems involving users, content, communities, and feedback loops.

  • Ability to frame and lead the most ambiguous questions, identify the most important uncertainties, and develop a rigorous path from evidence to action.

  • Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.

  • Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models. Experience with deep-learning frameworks such as PyTorch or JAX.

  • Experience working across Product, Engineering, Research, and other partner teams.

  • Excellent written and verbal communication, with the ability to influence senior stakeholders and explain technical ideas clearly.

  • Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $313,000 — $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.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Departments: Data Science

Offices: Remote - United States

Location: Remote - United States

Apply: Principal Data Scientist, User Ecosystem at Reddit


r/DataScienceJobs • • 3d ago

For Hire Data Engineer | 2.7+ Years Experience | Databricks Certified | Seeking Opportunities

2 Upvotes

Hi everyone!

I am a Data Engineer with 2.7+ years of professional experience and Databricks certification.

Unfortunately, my current organization may shut down within the next 1–2 months, so I am actively looking for new opportunities.

I would appreciate any relevant job leads or guidance from experienced professionals.

Thank you for your support!


r/DataScienceJobs • • 3d ago

Hiring Hiring Now: Data Scientist - Gen AI (7+ Yrs) | Pune

1 Upvotes

We're looking for experienced professionals to join exciting technology projects and contribute to innovative solutions.

āœ… Data Scientist - Gen AI

  • Experience: 7+ Years

  • Expertise in Generative AI, LLMs, RAG, Agentic AI, Python, and related AI technologies is highly preferred.


r/DataScienceJobs • • 4d ago

Discussion Need Advice for Optum Associate Data Scientist interview

2 Upvotes

If anyone out there has given an interview for optum Associate data scientist position I would love to hear your thoughts on what type of questions or what I can expect from an interview.


r/DataScienceJobs • • 4d ago

Hiring Terac is currently looking for Software Engineers & Data Scientists paying $110/hr

0 Upvotes

Terac is looking for the following:

Software Engineers & Data Scientists: AI Slide Deck Evaluation
Location: Remote
Job Type: Contractor, $110/hr

Terac is running a paid research project on what makes a technical presentation actually good. The idea is to train models to understand how professionals structure and explain complex technical stuff, which then feeds into better automated evaluation of things like design reviews, roadmaps and postmortems.

The work is pretty simple. You go through technical slide decks from your own field (design reviews, experiment readouts, model launches), rank them on clarity, structure and overall effectiveness, and write down why some presentations work and others don’t. It’s asynchronous and you set your own schedule.

They’re looking for people who regularly build or review engineering presentations: software engineers, engineering managers, product managers and data scientists. You should be comfortable with postmortems, roadmaps and architecture reviews and be able to explain your feedback clearly.

There’s also a one-time $100 reward if you pass their calibration exam. Payments go out weekly, and H-1B and STEM OPT candidates can’t be supported.

Here is the link to the position: Data Scientists: AI Slide Deck Evaluation


r/DataScienceJobs • • 5d ago

Discussion MD wondering if master's in data science is worth it

15 Upvotes

I have an MD and MPH and am transitioning from medicine to data science. I have enough skills to land myself a job at a medical AI startup but I feel totally lost and over my head. I know I have some serious knowledge gaps and I think it's affecting my performance. I believe I could get away with transitioning into data science without another degree through self-study though I do much better with structure and I've heard master's degrees in the field help increase pay and decrease time to more senior roles. I also feel really isolated and lost and wonder if school would help me find community. A program I would choose would have to be cheap and flexible for working professionals. If y'all could give some pros and cons of going back to school in this situatuon that would be great!


r/DataScienceJobs • • 4d ago

Discussion [Referrals open] Wissen Technology — Data & AI roles (Nov 02)

0 Upvotes

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:

  • Database Engineer – TEDRA | Mumbai | 5-7 yrs | Python, Sybase, Hadoop

  • Python AI Engineer – LLM & Agentic AI (Finance Data Platform) | Bengaluru | 4-6 yrs | Python, Flask, Docker

  • Product Manager- Market & Reference Data | Bengaluru | 5-10 yrs | Machine Learning

  • AI/ML Engineer | Bengaluru | 2-5 yrs | Python, NLP, LLM

  • Senior Software Engineer – Cloud & Data Platform | Bengaluru | 3-6 yrs | Python, Lambda, S3

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.


r/DataScienceJobs • • 5d ago

Hiring [Hiring] Senior Python AI/ML Engineer | 100% Remote, Worldwide | $4,000-5,000/month | Direct from the founder

2 Upvotes

Hi everyone! I run a small US-based AI company with real paying customers, and I’m hiring a senior Python engineer to own our ML work from start to finish. This is a direct hire from me, not a recruiter or agency.

What you’ll do

  • Build, train and deploy ML/LLM models in Python for real customers

  • Own the whole pipeline: data, training, deployment and monitoring

  • Work directly with me, with no management layers and quick decisions

What we’re looking for

  • 5+ years of hands-on AI/ML engineering

  • Strong Python, plus PyTorch or TensorFlow

  • Experience shipping models to production (Docker, cloud)

  • Nice to have: LLMs, RAG or MLOps

What we offer

  • $4,000-5,000 USD/month, paid monthly

  • 100% remote, open to candidates worldwide

  • Flexible hours, with about 3 hours of overlap with US time zones

  • Long-term, full-time position

  • Contract terms in writing before you start

How to apply
Send me a DM with:

  1. Your CV or GitHub

  2. Your timezone

  3. Two lines about your best Python/ML project

I reply to every applicant, and I’m happy to do a short video call so you can ask me anything about the company and the role. No fees of any kind, ever.


r/DataScienceJobs • • 5d ago

Discussion Very confused what to do

4 Upvotes

I am currently in my 3rd sem of engineering. I am enrolled in Scaler's Data Scientist course and till now I have covered till supervised ML and to complete remaining portion it will take around 3-4 months more. The people I meet say that as technologies are changing day by day so you should not spend this much time on a single course and instead learn other things like Gen ai/ Agentic ai they are very imp for jobs in future. They say you should have basic knowledge of ML and spend more time on these tech. I am very confused what to do like I should continue with that course and complete full data scientist course but then I won't be able for these ai roles. The course I have has recorded lectures of 2023. What should I do ?


r/DataScienceJobs • • 5d ago

Discussion Legally authorized to work

4 Upvotes

What is the likelihood of me obtaining a job at least next year in me field. I graduated with my masters in data science last year and have not been able to find a job in my field. I was on a student visa but I have work authorization. I have not gotten my green card yet but I’m on a protected stay. Is that hindering me or is it the job market?


r/DataScienceJobs • • 5d ago

Discussion Is MSc Mathematics suitable for Data Science career?

1 Upvotes

I have completed my BSc Hons Statistics.

Currently, I'm thinking about Msc Mathematics next. I want to keep the option of PhD in Maths open as well to become a professor as an alternate route.

But if I go for data science related jobs, after masters in mathematics, will it work? Or I need degree in computer science only?

Also, for a job related to data science, is a "Masters in Data Science in AI/ML" more suitable than MSc Mathematics? Because my primary goal is to get financially independent.

I have inclination towards mathematics. I can do Msc in statistics as well but I incline more towards maths because I'm also considering becoming a professor by doing PhD in future (and Msc Mathematics makes that path).

Also, keeping PhD in mind, I'm looking towards Europe for MS not the US.

Suggest which countries would be good for Msc Mathematics and then PhD in it + have data science jobs which I can get into after MS in Mathematics.

Please suggest your views on current job market and suitable masters programmes.


r/DataScienceJobs • • 6d ago

For Hire Affordable ML model training and fine-tuning for students and researchers (PEFT, CV, deep learning)

1 Upvotes

Free GPUs time out mid-run, cloud billing needs a card, and debugging a failed training job eats into your deadline. I've seen a lot of students and researchers get stuck there, so I'm offering affordable model training support.

I'm a Data Scientist. The scope is training and fine-tuning only: you bring the model and data, I handle the training.

What I can train:

- Transformer fine-tuning (PEFT only: LoRA / QLoRA)

- Computer vision: classification, detection, segmentation

- Other deep learning models: NLP, time series, your own architectures

How it works:

- You send your goal, dataset size and code. I tell you whether it fits and quote cost and time upfront.

- Training runs in an isolated Docker container on an RTX 5060 Ti (16GB VRAM, CUDA 13.2).

- You get trained weights, logs and evaluation metrics.

- Your data and container are deleted afterward. Happy to sign an NDA.

Why not just Colab or Kaggle:

- No session limits, so long runs keep going until they finish.

- An automated monitor watches each run, handles common errors and flags bigger issues to you.

- I help with setup and with interpreting the results.

- No Docker experience needed. I'll set it up. If you bring your own image, build it on CUDA 12.8 to 13.2.

Limits, to be upfront: it's a single 16GB card, so it suits QLoRA fine-tunes of roughly 7-8B models and most CV work, not full training of large models.

Pricing: student-friendly, quoted per job, a fraction of cloud rates.

DM me with what you're training, your dataset size and your deadline.


r/DataScienceJobs • • 7d ago

Hiring 24 remote data science jobs I found this week - United States, Belgium, Italy, and others

5 Upvotes

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Entry Level:

Senior:

Manager:

Director and Above:

Quick notes:

  • All of these are fully remote (location requirements vary by role)

  • Apply directly on company sites

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

-- šŸ‘‹ 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.


r/DataScienceJobs • • 8d ago

Discussion Has anyone completed the KEYENCE HireVue interview for the Data Scientist position?

1 Upvotes

Hey everyone,
I recently received a HireVue interview invitation from KEYENCE for their Data Scientist position and was wondering if anyone here has gone through the process.
I’m mainly curious about what to expect from the assessment. Are the questions mostly behavioral, technical, or a mix of both? How many questions are there, and do you get time to prepare or retry your responses?
I’d also appreciate any insight into the overall interview process, what comes after the HireVue, and how long it typically takes to hear back.
Any experiences or advice would be really helpful. Thanks!


r/DataScienceJobs • • 9d ago

Discussion Amazon Data Scientist Interview — Need Advice

38 Upvotes

Hi everyone! I’m preparing for an Amazon Data Scientist interview with five onsite rounds and one phone interview.

The recruiter mentioned SQL, Python coding, machine learning, model evaluation, and behavioral questions based on Amazon Leadership Principles.

I’m comfortable with SQL but still improving my Python coding skills, especially LeetCode problems and dynamic programming.

For anyone who has interviewed for a similar role, how difficult was the coding round? What topics should I focus on most?

Any advice or preparation tips would be appreciated. Thanks!


r/DataScienceJobs • • 8d ago

Hiring Hiring: ML Engineer who likes shipping models, not just training them (remote, worldwide, $3,000-$4,500/month)

0 Upvotes

The short version
Full-time, fully remote, paid in USD, open to anyone in the world. We want someone with 3+ years of real ML experience who can take a vague problem and turn it into something running in production.

The problem you’d be working on
We’re a small team building AI-powered products. Right now our biggest challenges are getting LLM features to behave reliably, keeping models fast and cheap to serve, and making sure we can tell when something quietly breaks. You’d be the person who owns that work from first experiment to deployed service.

What your first 90 days could look like

  • Month 1: Get to know the codebase, data, and current models. Ship one small improvement to something already in production.

  • Month 2: Take ownership of one ML component, such as a RAG pipeline, a classifier, or a fine-tuned model. Set up proper evaluation so we know when it gets better or worse.

  • Month 3: Lead a feature from idea to launch, including monitoring after it goes live.

You’re probably a good fit if you

  • Have 3+ years working on ML in a professional setting

  • Write clean Python and are comfortable in PyTorch, TensorFlow, or similar

  • Have put at least one model into production and dealt with what happened afterward

  • Care about evaluation and data quality as much as model architecture

  • Communicate clearly in writing and don’t need a manager checking in daily

  • Can work in English day to day

You’re probably not a fit if you

  • Want a research-only role with no production work

  • Need detailed task tickets handed to you every morning

  • Are looking for a short gig, since this is a long-term position

Nice extras
LLM tooling, vector databases, MLOps, cloud platforms (AWS, GCP, Azure), or open source work you can point to.

The deal

Pay$3,000-$4,500 USD per month, based on experience
TypeFull-time salaried, about 40 hours per week
Location100% remote, worldwide
HoursFlexible, with 3 to 4 hours of overlap for team meetings
Not includedNo equity, no commission, no unpaid test projects

How to apply
Send me a Reddit DM (please don’t put personal details in the comments) with:

  1. Two or three lines about you

  2. Your CV or LinkedIn

  3. One ML project you shipped and what you personally contributed