Position: Lead Data Scientist
Company: Zoolatech
Experience required: 5y
English level: upper

**Responsibilities**
- Own complex projects from ideation to deployment
- Work closely with product teams to identify important questions and answer them with data
- Designing and interpreting experiments to measure the impact of new features
- Defining core data sets and schemas, as well as visualizing and tracking key metrics
- Running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions
- Communicating analyses and data-backed recommendations to stakeholders
- Championing a data-first approach toward decision-making across the entire organization
- Mentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence

**Our Stack is:**
- Python (scikit-learn, pandas, PySpark). Experience in a Python environment is important.
- Airflow, Docker, Kubernetes, Google Cloud Platform, Mlflow. Experience with these is nice, but not necessary.
- Things like PyTorch, Keras, TensorFlow, PyMC3, tsmodels, Prophet and such are all also nice-to-have but not required.

**Skills Required**
- 10+ years of experience as a Data Engineer and Data Scientist with increasingly impactful accomplishments;
- Deep understanding of various statistical techniques and experimentation analysis workflows
- Strong familiarity with SQL, data visualization tools, and working knowledge of Python
- Experience with tools like Tableu, Power BI, Periscope, Looker or similar
- For this role, we’d love to see expertise in some field that is useful for us, for which we don’t currently have an expert on-staff. Right now, our ideal areas are:
Deep learning
Time series models; especially multivariate TS
Causal analysis
Econometrics

- Experience with cloud computing (Google Cloud Platform, AWS, etc.) desirable
- Excellent communication skills, both written and spoken (English)