Tasks

• Answer advanced statistics queries
• Collaborate with annotation leads and project managers
• Create golden responses for benchmarks
• Develop statistical explanations and justifications
• Document answer context and rationale
• Evaluate statistics data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Advanced data analysis | Bayesian Methods | Biostatistics | Computational statistics | Data Analysis | Experimental Design| MySQL | Probability theory | Statistical inference | Statistics

Education

PhD

Roles

Statistics Expert

Apply now: https://aijobs.net/job/statistics-expert-phd-remote-238344/

Tasks

• Answer advanced computer science queries
• Collaborate with annotation leads and project managers
• Create golden responses for training
• Develop comprehensive explanations
• Document answer rationale and context
• Evaluate computer science data and solutions
• Participate in remote discussions and workshops

Perks/Benefits

• Remote work

Skills/Tech-stack

Computer Science | Data Science | Python

Education

PhD

Roles

Computer Science | Computer Science Expert

Apply now: https://aijobs.net/job/computer-science-expert-phd-remote-238345/

Hi Reddit,

Most of what people call "data science" is now doable with an LLM and a weekend. I focus on what isn't: the messy, ambiguous, regulation-heavy gnarly problems where nobody's even sure what the right question is.

What I've done:

Saved a German automaker from lemon law recalls. ($20M+ exposure avoided)
Real-time emissions detection for industrial smokestacks. ($75K fines per incident prevented)
Revenue optimization and persona identification for debt collections (15-20% net revenue lift)
LLM-based legal document extraction, reducing due diligence turnaround from 3 days to 30 minutes
Built vessel piracy risk engine that informed naval escort deployment, contributing to fewer hijackings

Things I'm unwilling to work on:

Gambling.
Ads/Surveillance.
Payday loans/rent-to-own.

DM me with a one-paragraph description of your problem. If it's weird and hard enough, I'll reply within 24 hours.

Seeking full-time, part-time, or contract opportunities as a Data Engineer. I have hands-on experience with Python, SQL, PySpark, Databricks, and Azure through real-world data engineering projects and am currently learning DevOps for Data Engineering. Previously, I worked as a Backend Engineer with 3 years of experience in PHP and Python. Referrals and opportunities are greatly appreciated.

Hi everyone!

I'm a Data Analyst, Business Intelligence Developer, IT Specialist, and Web Developer with over 7 years of experience helping businesses, NGOs, startups, and individuals solve data and technology challenges.

Services I Offer

• Data Analysis (Excel, SQL, Python & R)
• Interactive Dashboards (Power BI & Tableau)
• Data Cleaning & ETL
• Data build tool (dbt)
• Excel Automation
• KPI Reporting & Data Visualization
• Database Design (MySQL & PostgreSQL)
• Website & Web Application Development
• AI Integration & Workflow Automation
• IT Support & Technical Consulting

Whether you need a dashboard, automated reports, database solution, website, or help analyzing your data, I'm happy to help.

Rate

Starting at $15/hour (negotiable)

Fixed-price projects are also welcome.

Portfolio

🌐 Portfolio:

https://amollo1.github.io/

💻 GitHub:

https://github.com/Amollo1

💼 LinkedIn:

https://www.linkedin.com/in/benard-omoga-870b77145/

If you're interested or have any questions, send me a DM. I'd be happy to discuss your project and provide a free consultation.

Thank you!

Hey everyone,

I'm looking for a co-founder to join in on my tech startup!

Who I'm Looking For

Ideally someone who:

I am looking for someone who is technical savvy, in tune with social media, and adept at brand/content 

• Is technical savvy
• In tune with social media
• Adept at brand/content
• Knows how to manage employees
• Is willing to validate ideas, pivot when needed, and solve difficult problems together

Application

If you're interested, please fill out this form: https://forms.gle/KLZaw2d5JFJQwa557

I'm happy to jump on a call if it seems like we could be a good fit.

Let's build something meaningful.

​

I’ve been unemployed for a year, and I’m ready to get back to work.

I have about four years of integration-related experience across EDI, client data onboarding, connector-based integrations, and cloud data pipelines.

My background includes EDI workflows, helping clients connect outside systems into Domo, moving data between databases, files, APIs, and cloud tools, and troubleshooting why data is not reaching the right destination.

My technical experience includes Azure Data Factory, Databricks, SQL, Python, Snowflake, dbt, Domo connectors, and ETL/ELT pipelines.

I’m open to remote freelance, contract, or full-time Data Integration Engineer and Data Engineer opportunities.

Resume and LinkedIn available upon request.

I am fresh graduate in computer science with special track in data science. I am not familiar to the role that offers to me, which is data indexer analyst. Sinse, I am pursuing data science or data analyst, the only answer I’m seeking for is: what is your thought as data indexer analyst as my first job?

Hi everyone!

I’m a recent Data Science & Economics graduate looking for Data Analyst, Data Scientist, Business Analyst, BI, or Program Manager roles.

I’m especially interested in cap-exempt employers (universities, hospitals, nonprofits, research institutions), but I’m absolutely open to non-cap-exempt employers as well. If your organization is hiring, I’d love to connect!

I have experience with SQL, Python, Power BI, Tableau, Excel, and have completed multiple internships.

If your organization is hiring or you know of any openings, please comment or DM me. I’d be happy to send my resume. Thanks so much. I truly appreciate any leads!

Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

Hi everyone,

I'm a fresher looking for my first opportunity as a Data Analyst. I'm open to full-time, internship, freelance, or remote work.

Skills:

SQL

Python (Pandas, NumPy, Matplotlib)

Microsoft Excel

Power BI

Data Cleaning & Analysis

Data Visualization

I've built projects using these tools and I'm eager to learn and contribute to real-world business problems. If you're looking for someone who's motivated, quick to learn, and ready to start immediately, I'd love to connect.

Location: India (Open to Remote)

Rate: $10–15/hour (Negotiable).

If you're hiring or would like to see my resume feel free to send me a DM.

Thank you!

Hey everyone 👋

We're hiring a Manager, Data Architecture & Engineering to help build the data foundation that powers Team USA 🇺🇸.

Company: U.S. Olympic & Paralympic Committee
Location: Remote (U.S.)
Type: Full-Time
Salary: $125,000–$135,000
Apply by: July 31, 2026

What you'll do:
• Lead enterprise data architecture and engineering strategy
• Oversee data platforms, APIs, integrations, and the enterprise data warehouse
• Manage and mentor a high-performing engineering team
• Drive data governance, quality, and innovation across the organization

What we're looking for:
• Experience with data architecture and engineering
• Strong knowledge of cloud platforms, data warehousing, APIs, and integrations
• Proven leadership experience managing engineering teams
• Ability to partner across business and technology teams

👉 Apply here: https://usopccareers.ttcportals.com/jobs/17849656-manager-data-architecture-and-engineering

Feel free to DM me with any questions. Referrals are always welcome! 🙌

Looking for a data developer job for a friend
1. Experience

22+ years of experience in Business Intelligence (BI), Data Engineering, Database Development, Data Warehousing, and Enterprise Reporting.

1. Core Skills

(1) SQL (SQL Server, Oracle, PostgreSQL, Amazon Redshift)

(2) AWS (Redshift, S3, QuickSight)

(3) Tableau

(4) Amazon QuickSight

(5) Cognos BI

(6) Data Engineering

(7) Database Development

(8) Data Warehousing

(9) ETL / ELT

(10) Data Integration

(11) Data Modeling

(12) Dashboard & KPI Development

(13) Data Visualization

(14) Enterprise Reporting

(15) Performance Tuning

(16) Stored Procedures

(17) Team Leadership

If you run an agency, you already know the tax: someone on your team burns hours every week exporting Google Ads, Meta, LinkedIn, and TikTok data into spreadsheets, stitching it together by hand, and praying nothing broke when a platform changed its API. Reporting is slow, the numbers never quite reconcile, and every new client multiplies the mess.

I fix that layer. Here's what I actually do:

Data pipelines and warehousing

I pull data from every ad platform and tool you use into one clean, queryable warehouse, on a schedule, without it breaking every time an API shifts. Recently I consolidated 8 ad accounts into a single BigQuery warehouse with automated daily dbt refreshes. The team went from manual exports to a live data layer overnight. No more copy-paste, no more "which number is right."

AI wired into your actual data (not a generic chatbot)

Assistants connected to your real accounts, your warehouse, and your reports, so account managers can ask a question in plain English and get an answer without opening five dashboards. This includes Model Context Protocol (MCP) work, an open standard that gives an AI model a direct, structured line into your ad accounts and warehouse instead of you pasting reports into ChatGPT. I build both the server-side integrations (Google Ads, Meta, and others) and the client side your team actually talks to.

Competitor and market intelligence scraping

Resilient, compliant scrapers for ad libraries, SERPs, landing pages, and competitor creatives. Structured for analytics, not raw dumps you still have to clean.

The reporting layer clients actually see

Governed dashboards and data products built on top of the warehouse, so every metric means the same thing everywhere and you're not maintaining fifty one-off spreadsheets.

A bit on how I work: everything is built inside your cloud accounts and repos, so you own the code and infrastructure with no lock-in. I keep the roster small (a few agencies at a time, currently mostly UK-based) so quality stays high.

If any of this maps to something you're trying to build or fix, comment or DM me a rough description of the problem. Happy to do a free, no-pressure scoping call and tell you honestly whether it's worth doing, even if the answer is "you don't need me yet."

NDA-friendly. Professionally insured. Clean, documented code. Clear communication.