
Lead Data Scientist
1 week ago
At Sensemitter, we decode the minds of players — literally. Our platform blends
AI, neuroscience, and behavioral research
to power the most advanced emotional playtesting in the gaming industry. We work with top studios like Voodoo, Mytona, and Nexters to optimize engagement, retention, and monetization based on real human behavior.
We're looking for a
Lead Data Scientist
who has gone beyond prototypes — someone who's shipped
AI models to production
that drove real impact, and who thrives at the intersection of AI, product, and infrastructure.
What You'll Do
- Design, setup, train, and ship ML models and pipeline (including LLM- and embedding-based) that power
user-facing features
and internal research tools - Collaborate with product and engineering to
build AI-powered SaaS features
at scale - Own the end-to-end lifecycle: from exploratory data analysis, model prototyping, and evaluation, to deployment and monitoring
- Bring domain knowledge of
AI agents
,
prompt engineering
, and
retrieval-augmented generation (RAG)
to inform smart system design - Contribute to the design of our ML infrastructure (e.g., model versioning, CI/CD for ML, logging, monitoring)
- Support emotion and attention modeling using multimodal data (video, facial signals, telemetry)
- Collaborate with our neuroscience research team to translate experimental methods into scalable machine learning solutions
- Engage with playtesting data and (if you're a gamer) bring user empathy into model design
- Research and bring new ideas and inspiration on how to empower Sensemitter's pipelines with AI & ML
Our technical stack
- Machine Learning:
PyTorch, ONNX, OpenVINO, MLFlow, DVC - Backend
: Python, Django, FastAPI, Celery, RabbitMQ, Redis, PostgreSQL, Clickhouse, Prometheus / Grafana - DevOps
: Docker, k8s, Gitlab CI/CD, Terraform, Google Cloud
What We're Looking For
- Proven experience shipping production ML models
that made a measurable business impact - Experience building AI/ML features into
SaaS products - Strong practical knowledge of
LLMs
,
agents
, vector search, embeddings, and real-world RAG applications - Familiarity with
MLOps
tools and best practices (e.g., MLFlow, DVC, vLLM, Triton, CI/CD for models) - Solid backend/infra understanding (containerization, APIs, cloud compute, etc.)
- Proficient in Python, PyTorch/TensorFlow, and modern ML/AI libraries
- Strong leader, communicator who can work closely with Product, Research, and Engineering
- Experience with
computer vision
or video analysis pipelines - Bonus: a passion for games, player behavior, or UX — and ideally, someone who enjoys playtesting
Why Join Sensemitter
- True end-to-end ownership
of the data initiatives - lead with autonomy and authority. - Partner directly with leadership
—your skip-level manager is the CEO, and you report to the VP of Product. - Zero politics
—just smart, kind people building meaningful things. - Work from anywhere
—we're a fully remote team with teammates in Cyprus, Germany, and beyond. - Room to innovate
—we trust you to try, learn, and improve systems the right way. - Be part of a ground-up transformation
—set the standards that will define the company's long-term future. - Make a real impact
on how mobile games are tested, launched, and loved by millions of players.
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