Position: Data Scientist
Company: Tilting Point
Experience required: 3y
English level: upper

You will work with the team and collaborate in researching, developing, and maintaining tools that stakeholders will use on a daily basis (LTV projections, profitability simulators, budget allocators, and many more). In addition, you’ll play a critical strategic part in shaping the future of Tilting Point at its competitive edge. You’ll apply cutting-edge technologies to solve arising problems — multivariate forecasting with neural networks, causal reasoning, reinforcement learning, constrained optimization, to name a few — on big data!

**Your Future at TPM** 🤩
Responsibilities include, but are not limited to the following, on an as-needed basis:
- Involvement in complete ML cycle — from shaping and working on PoC to putting MVP to production and delivering future versions of existing models (reproducibility, CI/CD/CT, pipelines, scalability)
- Working closely with the data team (data engineers, data analysts) to align your contribution with tech strategy and ensure we use best practices and don’t reinvent the wheel each time
- Present your findings to internal (data team) and external stakeholders in a concise and understandable way — it’s not about mindlessly doing JIRA tasks — you bring value to the company and your contribution and ideas won’t be left unnoticed

**Your XP & Skills **🧑‍💻

**Soft:**
- Highly accountable — Take risks, willing to fail and thrive in successes
- Ability to work under minimal supervision — given generalized solution overview, be able to dig in and define what particular steps are needed to deliver it (however, when you lose track or the uncertainty is too high — you should always request help and receive it)
- Excellent communication skills: tell a story of technical concepts to non-technical audiences and work with internal and external teams
- Excited to work in a lean, small team environment working with the world’s leading developers
- Positive attitude, passion for games, and a love for problem-solving

**Tech:**
- Master’s degree in a quantitative or computational field (ie, Math, Statistics, Computer Science, Physics or an emphasis in quantitative methods or business analytics, etc.)
- 2+ years of experience in core Python and SQL, familiarity with software and ML engineering best practices — code style, documentation, modularity, CI/CD
- Data wrangling: NumPy, Pandas, SciPy
- Classical ML: scikit-learn and similar
- Deep learning: PyTorch (preferably) or Tensorflow/Trax
- Visualization: plot.ly/altair or matplotlib/seaborn
- Explainability & interpretability: shap or LIME, or eli5, model-agnostic methods
- Unsupervised: clustering (sklearn, hdbscan), dimensionality reduction (PCA, t-SNE, umap), anomaly detection (sklearn)
- Hyperparam optimization: hyperopt, or sklearn methods, or optuna, etc.
- MLOps: mlflow or neptune.ai, or kubeflow, or wandb, or dagsHub
- High proficiency in English (written and oral)

**Nice to Haves **👍
- Experience with Big Data stack and out-of-core learning (Spark, Vaex, Databricks as a platform)
- Reinforcement Learning fundamentals (MOOCs or practical experience)
- Cloud experience (Databricks ideally, GCP/Amazon/Azure also works)
- Experience with Agile methodologies (scrum/kanban)
- Previous experience in mobile gaming

**Choose Tilting Point for:** 😎
- A great environment where each individual makes a significant impact
- Change mobile game developers’ lives for the better — improve gamers’ experience using precious data insights
- Ability to own technical direction of various products and systems
- Work with great people on great games that reach millions of people each month
- Cozy office in Podil
- Flexible schedule and remote-first approach
- Unlimited paid vacation and sick leave days
- Full legal and accounting support for your PE account
- Premium medical insurance after probation period
- Wellness stipend (gym, yoga, mental health classes, etc..)
- Work From Home expenses reimbursement (electricity and internet)
- Home Workplace Arrangement (furniture, technical equipment, etc.)
- Professional Training and Development (Udemy license and professional events sponsorship)
- Flexible Return to Work from Parental Leave
- Relocation option to Barcelona (legal and financial support)