Data Science UA

Who we are

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

Today, we help businesses worldwide implement AI solutions, grow through data, and connect with top tech talent.

Who we’re looking for

A content-driven, curious, and creative SMM Manager who gets that social media today is not just about “posting.”

It’s about stories that hook, visuals that pop, and insights that make people stop scrolling.

Your main playgrounds will be LinkedIn, Instagram, Telegram, and Facebook. You’ll create content for both business leaders and our AI community, mixing expert storytelling with a human touch.

What you’ll do

– Come up with ideas that people actually want to read and watch.

– Run Data Science UA’s social media pages (LinkedIn, Instagram, Telegram, Facebook).

– Write posts in English that sound smart, but not boring.

– Create visuals and short videos (hello, Canva & CapCut).

– Keep track of analytics – figure out what works and double down on it.

– Brainstorm with our Brand Strategy Lead and PR team.

– Keep an eye on trends, and catch them before they go mainstream.

We’ll be a match if you

– Have at least 1 year of experience in SMM.

– Know your way around LinkedIn (personal or company pages)

– Write English confidently (Upper-Intermediate+).

– Can create not just posts, but real value.

– Work with basic design and video tools (Canva, Figma, CapCut, Filmora – whatever you like).

– Understand that analytics is not scary, it’s your best friend.

– Have ideas and aren’t afraid to pitch them.

– Are curious to try yourself in other marketing directions: from PR and events to community and creative campaigns.

Nice-to-haves

– Experience with IT or tech brands.

– Understanding of Meta Ads & targeting.

– Interest in AI or data-driven marketing.

– Experience in prompting ChatGPT, Midjourney, or other generative AI tools.

– Skills in motion design or meme sorcery

What you’ll get

– Real impact: your content will directly attract new clients.

– Mentorship and growth: you’ll work side by side with our Brand Strategy Lead and ex-SMM manager.

– Freedom to experiment and test new formats.

– Flexible schedule and remote-first culture.

– Warm team vibes (and an open invite to our Kyiv office for coffee ☕)

If you can turn complex things into content that makes people say “Damn, that’s smart,” we’d love to see your portfolio 👀

Apply now and let’s make some noise in the AI world together.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

Today, we help businesses worldwide implement AI solutions, grow through data, and connect with top tech talent.

Key Responsibilities

1. Growth Strategy & Experimentation

• Build, test, and scale growth experiments across multiple channels (LinkedIn & email outreach, guerilla marketing, Product Hunt, SEO & GEO, product partnerships, founder communities).
  
   
• Translate user behavior and pilot feedback into actionable funnel optimizations.
  
   
• Manage lifecycle campaigns (activation, retention, referrals) for SMB users.
  
   

2. Content & Founder-Led Growth Amplification

• Support and scale the founder's thought-leadership content into demand generation assets (short-form videos, carousels, articles, webinars).
  
   
• Drive organic reach in SMB, founder, and service business communities.
• Turn sources like Reddit and Quora into consistent lead generation channels
• Launch own media channels - email newsletter and podcast for SMB owners, etc

3. Community, Partnerships, and Virality

• Build partnerships with adjacent products targeting the same audience
• Experiment with viral content on social media - Instagram, Tiktok
  
   
• Design and optimize viral loops (e.g., “Sent by EVE” signature)
• Experiment with referral campaigns
  
   

4. Data & Conversion Optimization

• Own funnel analytics (traffic → demo → trial → paid).
  
   
• Set up and refine attribution, event tracking, and lead scoring in Posthog / HubSpot / etc
  
   
• Constantly measure LTV/CAC, activation rates, and retention across customer cohorts.
  
   

5. Product-Led Growth (PLG) Support

• Collaborate with the product marketing team on in-app onboarding, referral prompts, and activation triggers.
  
   
• Identify drop-off points in the user journey and design growth experiments to fix them.
  
   

Experience:

• 5+ years in B2B SaaS companies in growth-related roles with measurable achievements
  
  
   
• Comfortable owning both strategy and execution — from ad copy to analytics dashboards.
  
   

Skills:

• Growth experimentation (A/B testing, lifecycle email, LinkedIn ads, community growth).
  
   
• Familiar with CRM-less or low-touch SMB funnels.
  
   
• Exceptional copywriting — empathetic to non-tech-savvy users.
  
   
• Strong understanding of founder-brand amplification.
  
   
• Bonus: experience with SMB-focused AI products
  
   

Mindset:

• Operates like a founder: fast, resourceful, creative.
  
   
• Loves experimentation and storytelling as much as numbers.
  
   

Fluent in both creative and analytical marketing.
 

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base